Why Edgelab?

The emergence of platforms such as ChatGPT and DALL-E has made us feel the power of AI, and AI will appear in every aspect of our planet in the future. At present, 80% of the world’s AI is still running on the server side, which is based on “Foundation Models”, and only a few end devices and industries support running AI, such as face recognition, voice wakeup, and other applications. Many analysts believe that AI will not mature for widespread use until 2050. We want to accelerate this process so that AI will be available for Makers, industrial IoT devices, and hardware deployed in the wilderness.

OpenMMLab currently has 15 algorithm libraries covering many directions such as classification, object detection, segmentation, pose estimation, etc. There are more than 250 algorithm implementations, but like most algorithms on the market today, not many of these algorithms can be implemented in real products or are limited to high-performance GPUs. Based on OpenMMLab, EdgeLab selects algorithms that meet the hardware performance and optimizes the algorithm implementation according to the required scenarios, so that the algorithms can run faster, with less power consumption, and more accurately in the devices.

What’s Included

Seeed has been deeply involved in the IoT field for many years, especially with IoT solutions for long-range environmental monitoring while having low power consumption. Due to the need for large-scale deployments, the hardware cost of these solutions often does not exceed $10. In addition, we have found that 99% of the data received in the environmental and data analysis space is not generating value, and the industry is eagerly looking for new technologies to bring breakthroughs. Based on our past experience, EdgeLab will mainly include the following directions of algorithms.

Anomaly Detection

In the real world, anomalous data is often difficult to identify, and even if it can be identified, it requires a very high cost. The anomaly detection algorithm collects normal data in a low-cost way, and anything outside normal data is considered anomalous. (coming soon)

Computer Vision

Here we provide a number of computer vision algorithms such as object detection, image classification, image segmentation and pose estimation. However, these algorithms cannot run on low-cost hardware. EdgeLab optimizes these computer vision algorithms to achieve good running speed and accuracy in low-end devices.

Discrete Classification

Except for sound and visual, most of the data in the real world are discrete, and the data can only produce results after classification.

Scenario-Specific

Specific scenarios, such as the recognition of analog meters, traditional digital meters, and audio classification.

Features

User-friendly

EdgeLab provides a user-friendly platform that allows users to easily perform training on collected data, and to better understand the performance of algorithms through visualizations generated during the training process.

Models with low computing power and high performance

EdgeLab focuses on end-side AI algorithm research, and the algorithm models can be deployed on microprocessors, similar to ESP32, some Arduino development boards, and even in embedded SBCs such as Raspberry Pi.

Supports multiple formats for model export

At present, TensorFlow Lite is mainly used in microcontrollers, while ONNX is mainly used in devices with embedded Linux. There are some special formats such as TensorRT, OpenVINO, which are already well supported by OpenMMlab. EdgeLab has added TFLite model export for microcontrollers, which can be directly converted to uf2 format and drag-and-drop into the device for deployment.

Explore more AI-related resources by Seeed!

• Few-Shot Object Detection with YOLOv5 and Roboflow wiki
• Train and Deploy Your Own AI Model Into SenseCAP A1101 wiki
• Intelligent Traffic Management System using DeepStream SDK
• Quick Start with SenseCAP K1100 – The Sensor Prototype Kit wiki

The post Edgelab: Experience AI at the Edge With Only $10 Hardware appeared first on Latest Open Tech From Seeed.

To improve the situation of high dependence on power and the narrow transmission range of LoRa® in the urban area, Aiman Akid deployed an optimization project for LoRa® point-to-point network. The purpose of the project is to build two optimization strategies and then assess the node’s operation. The first is the RTOS approach, which is Deep Sleep, to minimize the power consumption of the LoRa® sensor node. And the other is adding another LoRa® node as an intermediary node to extend the network transmission distance. To view the original project on hackster.io, please refer here.

Aiman Akid

Project Publication

Architecture of the Project

Implementation of the Field Test

Set up the Wio-E5 Parallel MCU Board

Designed by Aiman and manufactured by Seeed Fusion PCB Assembly Service, this customized Wio-E5 development board contains a Wio-E5 wireless LoRa® module and the XIAO ESP32C3 MCU. This parallel development board serves as the LoRa® receiver.

Wio-E5 Development Board as the Receiver

Set up the LoRa® Sensor Node

The following is the board casing view.

Inside of the Wio-E5 & ESP32 Board and Circuit

The Entire LoRa® Sensor Node

This DIY LoRa® sensor node serves as the LoRa® sender. The White Box contains The Wio-E5 + ESP32 Development Board: Grove Wio-E5 and Hibiscus Sense (ESP32), while the Black Box contains 3 types of sensors:

• MQ-135 Air Quality Sensor
• DHT11 Sensor
• LDR Module Sensor

The last thing to do is to use the digital multimeter to measure the power consumption. The multimeter is set to current mode and measures each of the sensor’s current values. The current of the boards is based on their datasheets.

Results of the Field Test and Conclusions

In the end, the LoRa® sensor node is proven to produce a different result after following the implementation of the proposed method.

Result for LoRa® Transmission Range Measurement

The First Test of Point-to-Point Network

The initial test is carried out between the LoRa® sender and receiver. The receiver is connected to the internet via the cellphone’s cellular network. It may receive data from the sender while the LoRa® communication is active. The field test indicated that the pair connection can go up to 2.20 kilometers, which is noteworthy considering the test site is in the suburbs.

The Second Test with the Intermediate Node

Nextly, another LoRa® development board which is the Wio-E5 Parallel MCU Development Board was added to act as the intermediate node or the middleman between the LoRa® sender and the receiver. Previously, one could only obtain signals within 2.20 kilometers; today, with the intermediate node, the range gets up to 3.7 kilometers.

Result for LoRa® Sensor Node Power Consumption Measurement

Aiman used a multimeter to measure the currents of the Board and the sensor to determine power usage. Here is the result of the one-hour measurement. The battery used is a 18650 Li-Ion battery with a capacity of 2000mAh.

Deep Sleep vs Active Mode

Conclusions

Following field testing, both recommended methods extended the LoRa® communication range while decreasing the power consumption of the LoRa® sensor node. The previous P2P transmission range is just 2.2 kilometers, however, with an Intermediate Node, the range may be increased to 3.7 kilometers. When compared to the normal setup, the LoRa® sensor node with battery power may survive 2.45 times longer with the Deep Sleep configuration.

Get your Wio-E5 project manufactured for FREE with Seeed Fusion PCB Assembly Service

Wio-E5 PCBA Sponsorship Service

To accelerate the development of the IoT industry to the next level, Seeed is 100% sponsoring Wio-E5 projects with the Seeed Fusion PCB Assembly Service for all hardware enthusiasts, designers, makers, and engineers around the world!

Good ideas need to be discovered, and good projects deserve to be recognized, realized and widely disseminated! Each person is limited to two PCBA boards 100% completely FREE for one design, including PCB fabrication, the cost of parts, assembly, and shipping. The design must include Wio-E5.

If you have an interesting concept for Wio-E5 and are willing to share it with the community, share it with us and we can help you make it a reality with Seeed Fusion’s one-stop-shop capabilities. Get 2 boards fabricated and assembled completely free with Seeed Fusion’s turnkey PCB Assembly service.

Furthermore, choose all your parts from the PCBA Open Parts Libraries (OPL) and reduce the lead time to as little as 7 working days. Meanwhile, if you have mass production requirements, we highly recommend taking advantage of the Seeed Fusion PCB Assembly service and getting the Wio-E5 modules for only US$5.90 (40% discount, original price US$9.90).

Take action to bring your Wio-E5 projects to the next level!

Note: The LoRa® Mark is a trademark of Semtech Corporation or its subsidiaries.

The post Improving LoRa® Point-to-Point Network: Field Test for Optimization Solution appeared first on Latest Open Tech From Seeed.

Hey community, 

 

As time flies, we’re now officially in the last month of 2022! To get you an overall filled-in of what happened in November, here comes the wrap-up for November.

 

For this post, I’ll walk you through 3 exciting news, 6 case studies (of smart agriculture, AMRs, air monitoring, 3D machine vision and more), 2 tech for good, 3 wikis & how-to, 4 community project spotlight, 2 ways of how you can co-create and scale up your projects with Seeed. Spoiler, a lot of ESPHome and Home Assistant related goodies!

 

Now, have a good read!

News that You Shouldn't Miss

01 NEW Product: Raspberry Pi CM4 Powered Industrial Edge Controller EdgeBox-RPi-200

Meet EdgeBox-RPi-200 series, a collection of all-in-one Raspberry Pi-based industrial edge computing controllers, combining multiple industrial purposes. It is equipped with up to 4GB RAM and 32GB eMMC for various requirements. Learn more here.

02 Free Shipping for Orders with 3 Items Or More from Overseas Warehouse! 

In order to further optimize our customer service, we want to provide a new free shipping service for customers who place orders from our overseas warehouses (US, UK and EU) from now on — Free shipping on orders of 3 items or more, applicable to all products in overseas warehouses. Learn more here.

03 NEW Release: Raspberry Pi Powered Industrial Edge Controller EdgeLogix RPI-1000

To expand our Raspberry Pi product ecosystem, we’ve launched EdgeLogix-RPI-1000, a Raspberry Pi-based industrial controller capable of all-in-one application scenarios. Designed with intensive IO ports and delicate modules mounted on board, it also supports extensive industrial bus protocols, and equip with cloud services support to show wireless capabilities. Learn more here.

Case Studies: Smart Agriculture, AMRs, Air Monitoring, 3D Machine Vision and More

01 Portugal Smart Vineyard: Reducing 15% Water Consumption with SenseCAP LoRaWAN Solution

SenseCAP IoT Wireless devices collects and monitors real-time data (light intensity, soil moisture and temperature), which is sent to Quinta do Bouro’s Smart Vineyard cloud platform via Helium LoRaWAN network to improve the Machine Learning Algorithm for Sustainable farming. By collecting data and improving algorithms, Quinta do Bouro’s Smart Agriculture project enables farmers to make more accurate decisions in response to climate and environmental changes, tackling a range of problems such as water waste and overuse of fertilizer. Learn more here.

02 Jetson-Powered Robot Iroi and Patrovor Integrated with 1:N Simultaneous Monitoring for Security

Warehouses, logistical companies, agriculture businesses, healthcare institutions and even households are all turning to autonomous mobile robots to improve operational efficiency, enhance speed, ensure precision, and increase safety. For this post, let’s shed the light on one member in our Edge AI Ecosystem Dogugonggan and how they apply our Edge AI devices to build their indoor and outdoor AMRs: Iroi and Patrovor. Learn more here.

03 OpenAirMonitor — Measuring Particulates, Humidity and Temperature in UK with Wio-E5 and Seeed Fusion

Gerrit Niezen realized the seriousness of the environmental problem early on and built 3 versions in total of his solar-powered outdoor air quality monitor that transmits air quality data over LoRaWAN and Bluetooth. Seeed’s Fusion PCB assembly service  has been chosen to manufacture both the second and third revisions of the Wio-E5 based hardware. Learn more here.

04 DexForce Scales up its NVIDIA Jetson-Powered 3D Camera with Seeed Fusion PCBA

Xema, is a NVIDIA Jetson Nano module powered Open source industrial 3D camera designed by Dexforce, a start-up AI company focusing on 3D machine vision. We’re glad to share that Seeed Fusion provides Dexforce team with delicate manufacturing advice from 0.1 to 1. Power-efficient with a compact form factor, Jetson Modules brings accelerated AI performance to the Edge. Learn more here.

05 A LoRa® Navigation System based on Seeed Wio-e5 and Fusion PCBA

With the help of the Seeed Fusion PCBA service, Addepalli Dolendra Vikas has designed a LoRa® communicator prototype called “directMessage” to tackle problems of information security and communication privacy. More to read.

06 Anchoring with Peace of Mind – A LoRa® Boat Monitoring System based on Seeed Wio-E5

Sponsored by the Seeed Fusion Power-up PCBA service, Thanos Pelekoudas is able to build a LoRa® monitoring system with the Seeed Studio Wio-E5 wireless module that keeps track of boats’ certain conditions remotely. Learn more here.

Tech for Good

01 DinoCon 3 in Sri Lanka: Seeed Facilitated an AIoT2Wild Workshop and Hands-on Project Using SenseCAP K1100 Kit for Smart Luffa Farming!

From July 10th to 20th, Seeed’s Field Application Engineer, Lakshantha Dissanayake went to Sri Lanka for an on-site event called ‘Dinacon 3’ – an event focused on wild hacking for nature. We’re happy to have supported Lakshantha’s trip to the event, as well as sponsored 6 units of SenseCAP K1100 Kits, and 1 unit of SenseCAP M2 Data-Only LoRaWAN Indoor Gateway for 15 workshop participants and his smart luffa farming project. More to read.

002 GOSH 2022 in Panama: Seeed Organized AIoT2Wild and Custom Electronic Design Workshops Using SenseCAP K1100 Kit!

During October 26-29th, the 4th edition of Gathering for Open Science Hardware was held in Panama. Seeed’s Field Application Engineer joined the event on-site to organize 2 hands-on workshops on using SenseCAP K1100 Kit for environmental and wildlife conservation scenarios. On this background, we’re happy to have supported Mario’s trip to the event, as well as sponsored 11 units of SenseCAP K1100 Kit for his workshop participants. More to read.

Tech Tree

01 How Matter Will Transform Your Smart Home?

A few weeks ago, Matter was announced and now it has become the talk of the town in the Smart Home world. Let’s dive deep into what the fuzz is all about and whether it really matters to use Matter! More to read.

02 Selection Guide of Grove Temp & Hum Sensor for ESPHome!

In this blog, we are going to dive deeper into these temperature and humidity sensors and provide a selection guide for you to find the most suitable one. More to read.

Wiki & How To

01 Tango with Home Assistant and SenseCAP Sensors

Home Assistant is one of the best platforms to build a fully customized smart home ecosystem, integrating mainstream devices and setting automation rules to make your home a better and smarter place. In this article, I will share how I build a decent smart home in Home Assistant and integrate SenseCAP LoRaWAN sensors into the application.  More to read.

02 Deploying Home Assistant on Seeed H68K/reRouter with OpenWRT

Home Assistant is the popular home automation control platform. In this guide, we will use Seeed Studio Linkstar H68K as an example to deploy the Home Assistant with OpenWRT.  More to read.

03 5 Minutes to Develop an Industrial LoRaWAN Sensor

Today, we can use a wireless LoRa collector, set up sensors to connect to an app via Bluetooth and build a product in five minutes, directly into a commercial project. Let’s quickly build an industrial-grade LoRaWAN wireless sensor for direct commercial use in 5 minutes..  More to read.

Co-Create with Seeed

01 Seeed Grove Designers’ Guide: PCB design guidelines and more

No clue on how to develop your first Grove sensor for the Co-Create Grove Sensor Campaign? How should creators go about designing a Grove module? What qualifies as a Grove module and what should designers look out for? This article sets out to give guidance to PCB designers and more.  More to read.

02 Co-Create Grove Module Libraries for ESPHome/Home Assistant 

To better support the smart home community, now we are inviting engineers to join us to co-create new Grove Module Libraries to work with ESPHome and Home Assistant to promote the ecological construction of ESPHome together. Moreover, we have a number of Grove starter kits/devices up for grabs..  More to read.

Community Project Spotlight

01 Voice Control Toy and Display using XIAO and Edge Impulse by Billtheworld

This demo shows embedded ML voice controlling animation screen display and an interesting toy by XIAO nRF52840 Sense boards. Project tutorial here. 

02 PCB Hotplate Mini Edition by Arnov Sharma

By using Fusion PCBA services, Arnov Sharma made a Microchip ATtiny13A-based PCB hotplate from scratch. Tutorial available on Hackster.

03Connect SenseCAP Sensors to TTN by Marc Pous, Xose Pérez

Connect the agriculture sensors SenseCAP S2101 and S2104 with The Things Stack LNS using a standalone LoRaWAN gateway on a Raspberry Pi with Balena. More details.  

04 TOTEM | a tiny splitkeyboard with splay by Marc Rühl

The TOTEM uses Seeed XIAOs to run wired or wireless and comes with splay and a case. More details.

That’s it for this entry. As always, we can’t wait to see what you make. Shoot us a tweet @seeedstudio, or let us know on LinkedIn, Discord, or publish your project on our Project Hub on Hackster. Please be safe out there, be kind to one another, and we’ll see you next month with even more exciting news!

 

 

#Notes at the end.

If you’re new to this session, here is a brief intro. We have gotten dozens of requests over the years for a Seeed Monthly Newsletter. Although we already have a newsletter for weekly updates, we still need a place to host overall information about what’s happened on a monthly basis. It can offer an efficient and friendly way to get updated for the whole community. And that’s what we expect for our Seeed Monthly Wrap-ups. Instead of putting it as a subscribe-to-read, we’re publishing them on our blog, keeping it as open and accessible as possible for the whole community. For each entry, we will cover awesome projects from the community, campaigns that we are running, new products, IIoT Solutions, and even secret recipes for prototyping and manufacturing.

 

• Recap for October
• Recap for September 2022
• Recap for August 2022
• Recap for July 2022
• Recap for June 2022
• Recap for May 2022
• Recap for April 2022
• Recap for March 2022
• Recap for Jan&Feb 2022
• Year in Review: Seeed in 2021
• Recap for December 2021
• Recap for November 2021
• Recap for October 2021
• Recap for September 2021
• Recap for August 2021
• Recap for July 2021
• Recap for June 2021
• Recap for May 2021

 

The post Seeed Monthly: November Comes to an End appeared first on Latest Open Tech From Seeed.

Digital transformation is essential to any traditional industry’s revolution to adopt new technologies to enhance expertise and cost down operations. AI helps across different roles in the healthcare of doctors, laboratories, researchers, caregivers, and patients.

Traditional Hospital Operation vs. AI-powered Smart Medical System

Traditional medical devices usually came with limited functions and were applied in general application areas, the absence of key technologies usually left doctors feeling powerless to respond to patients’ conditions. Even when we involve some new tech in the medical system, such as remote patient monitoring, it was still not so convenient for caregivers to monitor the situation of patients all the time.

Benefits of Edge AI

Low-latency, high-bandwidth data transmission capabilities and the ability to process massive amounts of data, which can help healthcare teams make critical and urgent decisions for patients. You can learn more information about what is Edge AI and how to implement it with embedded hardware in this article.

AI-driven tools can provide important support in helping clinicians perform accurate detection and faster abnormal judgment, help professionals diagnose with greater accuracy, improve the quality of pathological image recognition, and optimize workflow in the hospital, no matter medical documentation work or the overall turn-around time for the whole healthcare team.

Remote patient monitoring

Imagine there is a patient who needs sufficient care support and safe assistance within a short time. A trained AI model that detects when a patient has shifted from a safe state to a predicted boundary of an unsafe state can alert a caregiver or nurse to immediate attention.

The whole system is driven by a small computer combined with the camera to capture patient behavior continuously through video streaming so that the edge AI model can get the proper data to be trained and make the prediction. If the labeled event has been triggered, the medical team will receive the notice immediately.

Here are the benefits of the AI-driven medical device :

• Avoid the chance of human negligence while monitoring, such as more precise recognition of patient falling/ patient’s unexpected status, make a clear distinction among patient’s behavior;
• Eliminating the need for 24/7 manual monitoring, reducing manpower input;
• Only identifying the falling pose does not address the underlying problem, it is more important to figure out why this kind of dangerous status would happen by edge AI training algorithms, such as why the patient will fall. Is it because walker assistance isn’t close enough to the bed? or is it because of the small bed area?

Get the most out of the computer vision

alwaysAI powers computer vision solutions for top-tier healthcare companies by creating a healthcare problem-solving computer vision model in easy steps, and also supporting run inference at the NVIDIA Jetson at the edge. It provides a catalog of pre-trained models, a low-code model training toolkit, and a powerful set of APIs to help developers at all levels build and customize computer vision applications. 

You can easily use artificial intelligence to track and detect specific types of objects, people, and fall events, train CV models to track patients’ movements or body poses, and also make a prediction when a fall event occurs and send out an alert to caregivers based on established criteria. In the meanwhile, you can also build a more accurate and flexible multi-person detection framework by the YOLOv7 model. Follow our guide on training a custom YOLOv5 model, deploying to reComputer edge box powered NVIDIA Jetson, and achieving faster inference with TensorRT.

Other approaches for designing a smart monitoring system:

• Hidden Markov Model:
  • Identify the patient’s status – standing/lying down/sitting/walking/falling, and distinguish between falling and lying down; it can also judge the likelihood of falling, which is predicted based on the previous state of the body
• Pose estimation:
  • Tracking semantic key points to build a holistic perception framework with the open source library OpenPifPaf or TensorRT.  Interested to learn more about NVIDIA TensorRT? Check out our blog Learn about how to supercharge your inference with TensorRT and YOLOv5.
• Background subtraction algorithms and postural sway analysis:
  • Identify the patient’s state through the swing amplitude, and in the meanwhile, minimize the interference of the environment on the important image information which needs to be recognized.

Digital Pathology Diagnosis

Traditional pathological image processing is carried out manually. Pathologists used the naked eye to analyze the specific stained pathological images under the microscope, completed the identification and counting of different types of cells, and calculated the positive rate.

 You might have some doubts about this approach:

• The diagnosis results are subjective, different from person to person, and have poor repeatability;
• Low efficiency for Pathologists to complete the whole process;
• Observations are often derived from estimates, and the proportions are not accurate enough.
• Pathological results are stored in the form of slides, which is inconvenient for viewing, storing, and acquiring pathological results.

Applying deep learning to the assistant diagnosis based on digital pathological images can not only improve the efficiency and quantitative accuracy of disease diagnosis, target detection, and region of interest segmentation. It can also eliminate the constraints imposed by economic conditions, geographical environment, and medical infrastructure, in the meanwhile, making full use of digital pathology images can significantly reduce costs.

In digital pathology, edge AI-based methods can be applied to the detection and segmentation of ROI regions and high-level pattern prediction of disease diagnosis.

How does AI-powered diagnosis work?

Edge AI provides automatic WSIs(Whole slide imaging) for image analysis through the method of machine learning. The diagnostic flow of AI in pathology is as follows: Slides of pathological slides are captured through a computer scanner into full-slide digital images. With the support of the WSIs system, full-slide imaging provides users with an opportunity to expand their toolset, including digital annotation, rapid navigation/zooming, and computer-aided viewing and analysis.

To improve the maximum available image data set with the minimum image annotation information, weakly supervised learning methods are usually adopted to give full play to the ability of machine learning to build more accurate models.

In addition, in WIS, the pixel size of the image is up to gigapixels, which occupies the GPU memory excessively and makes it difficult to analyze. At present, the general level of computers cannot meet the standard of full-pixel processing WSIs, which will lead to a significant decline in recognition accuracy.

Therefore, the sliding window detection classification model composed of the CNN algorithm and grid-based attention network can divide an image into local block map (patch) area, analyze the information of each block and extract features, etc., and obtain results in aggregating information. This approach is efficient in reducing memory usage and improving model efficiency.

The processing flow of convolutional neural network for detecting visual categories in images:

At GTC 2021, Grundium Ltd showed how whole-slide scanners for pathology can be rethought by utilizing the computational capability of the NVIDIA Jetson platform. Deep learning-based image analysis can be interleaved with the scanning process. Therefore, the results can be ready when the scan is complete, increasing the diagnosis throughput.

From NVIDIA’s blog AI at the Point of Care: Startup’s Portable Scanner Diagnoses Brain Stroke in Minutes, there is a lightweight brain-scanning device powered by NVIDIA Jetson AGX Xavier offering 32 32 TeraOps AI performance with energy-efficient inference at the edge. The intelligent embedded systems figure out how the brain signals interacted with and identified a further diagnosis.

The upcoming module Jetson Orin Nano is also considered for the next generation. We just announced reComputer of Orin NX and Orin Nano. Let us know your thoughts!

You can also use MathWorks GPU Coder to deploy the prediction pipeline on NVIDIA Jetson.

The solution goal is to train a classifier to distinguish between Arrhythmia (ARR), Congestive Heart Failure (CHF), and Normal Sinus Rhythm (NSR). This tutorial uses ECG data obtained from three groups or classes:

• People with cardiac arrhythmia
• People with congestive heart failure
• People with normal sinus rhythms

Seeed Jetson Ecosystem

Seeed is a Preferred Partner of NVIDIA Embedded for edge AI. Explore more carrier boards, full system devices, customization services, use cases, and developer tools at Seeed Jetson Ecosystem!

• You can also download our latest NVIDIA Jetson catalog.
• Latest update: we just announced reComputer of Orin NX and Orin Nano, let us know your interest and let us know your suggestions!

If you are working on edge AI solutions, join us as an Edge AI Partner

By consolidating our best-in-class hardware and cutting-edge technology from our software partners and the community, we aim at helping both developers and enterprises deploy ML in the real world across industries. Contact us at edgeai@seeed.cc

We are looking forward to working with AI experts, software enterprises, and system integrators: 

• Integrating your unique technology to Seeed Jetson hardware and delivering solutions across industries.
• Building next-gen AI product powered by the NVIDIA Jetson module, one-stop bring your product to the market with Seeed’s manufacturing, fulfillment, and distribution.  
• Working with Seeed Amazing Ecosystem Partners together, unlocking more AI possibilities. 

The post Edge AI in Healthcare: AI Facilities Smart Medical on Diagnosis and Remote Patient Monitoring appeared first on Latest Open Tech From Seeed.

(December 5, 2022 | Shenzhen, China) Today, we are excited to announce that Seeed is partnering with Flux to launch SenseCAP M4 Square – FluxNode, the first-ever plug and play edge computing solution for Flux Network. As a further collaboration between Flux and Seeed, the product is available for pre-order at Seeed’s official store with an estimated shipping of the 1st batch in late December.

With the FluxNode operators in mind, we designed it as a high-uptime, enterprise-grade hardware device to provide real, useful computing power to the network. It’s a plug and play FluxNode powered by FluxOS that supports potential extension for other web3.0 dAPPs. It allows the community to operate FluxNodes with ease to create a fully decentralized network.

FluxOS is a revolutionary second-layer operating system that allows hardened dockerized apps to run on Flux’s computational network, making it highly resilient to both system failure and outside attempts of censorship. Powered by FluxOS, SenseCAP M4 Square – FluxNode provides an easy and friendly experience in deploying CUMULUS FluxNode with SenseCAP Hotspot App in 4 steps without a line of code. With the SenseCAP’s one-stop cloud services (SenseCAP Hotspot App and SenseCAP Dashboard), we make it easy for anyone in the community to create a FluxNode while providing true decentralization at an amazingly low power consumption of 10W a year.

“We’re really excited to continue and deepen the partnership with Flux – the new generation of scalable cloud infrastructure – to create this durable, reliable, secure and high-performance product, while still maintaining our signature flexibility and ease in deployment and management.” Shuyang Zhou, Director of Global Partnership at Seeed comments on the partnership. 

When talking about the collaboration, Daniel Keller, CoFounder of Flux mentioned: “The future of Flux is very bright with partners like Seeed creating new and seamless hardware for deployment. The SenseCAP M4 changes the game for simplistic deployments and home hosting flux’s decentralized infrastructure. We are super excited to watch the community grow with trusted partners like Seeed! “

The product is now available for pre-order on Seeed’s official store. Operate your FluxNode with SenseCAP M4 Square – FluxNode to create Flux network now.

 

• Explore more details about the collaborations between Flux and Seeed: https://www.seeedstudio.com/flux
• Purchase SenseCAP M4 Square-FluxNode: https://www.seeedstudio.com/SenseCAP-M4-p-5556.html

The post Meet SenseCAP M4 Square – FluxNode, the First-Ever Plug and Play Edge Computing Solution for Flux Network appeared first on Latest Open Tech From Seeed.

Why would T-Fab Works plan to make such a board? 

In Japan, programming education in elementary schools started in 2020 and but many issues arose such as difficulties producing class materials, procuring suitable hardware and troubleshooting problems, etc. So Japanese company T-Fab Works developed Grove for Scratch “AkaDako”, which has the potential to solve all the problems in this field by combining Scratch, a block based visual programming language and the Grove hardware ecosystem from Seeed Studio.

Grove for Scratch is an expansion board that allows you to use Grove’s various sensors and actuators through the visual programming language Scratch via Scratch-compatible environments Scratch and Stretch3.

Compared with other Grove expansion boards, Grove for Scratch does not need users to download other software such as Arduino, because it is built in the WebSerial function, which means that you only need to use your existing browser to start programming.

Why Grove for Scratch?

Some products use Bluetooth or WiFi for pairing and data transmission, which can result in problems with unstable networks, whereas Grove for Scratch connects to the computer via USB. Just click the green flag on the Scratch screen to run the created program. In addition, there is no need to prepare and maintain batteries.

Grove for Scratch has a built-in Web Serial feature, so you can code right from your web browsers. Users can easily explore various application such as voice robot, AI, IoT and bidirectional communication by combining AkaDako with a wide selection of Grove modules.

The possibilities are endless with Grove for Scratch and over 50 Compatible Grove modules.

The official Scratch does not yet allow the addition of extensions, but by using Scratch’s mutual environment Xcratch and Stretch3, users can exploit extensions to develop many kinds of applications using Scratch and Grove modules.

• Voice Synthesis: speak when approaching

• Speech2Scratch: Automatic Speech Recognition (ASR)

• ML2Scratch: Image recognition

• NumberBank: Bidirectional communication between Scratch and an IoT work

• IFTTT Webhooks

Operation manual and other project examples like detecting the change in brightness, Monitoring item tilt, etc are on AkaDako’s page, but currently only the Japanese version.

The Grove for Scratch has been licensed to Seeed to sell.

T-Fab Works will provide technical support and Seeed will fulfill the order with hardware quality guaranteed.

If you want to become the next success story with Seeed Licensed Products Program please click to find out more. We are glad to see your idea become a reality.

In addition, we are seeking more creative engineers to expand our Grove series.

Over 80 designers all over the world have participated in the Grove Sensor Co-invent Program so far. Don’t miss the chance to turn your ideas into real Grove Sensors!

The post Seeed & T-Fab Works| Grove for Scratch Licensed and Ready to Hit the Seeed Store Shelves! appeared first on Latest Open Tech From Seeed.

Closing of the Fusion XIAO Mechanical Keyboard Contest

From July 11 to October 11, the contest lasted for three months and ended successfully. During the contest, we received around 80 applications and sponsored about 40 keyboards (sponsorship ended on Sep. 22nd).  With 33 excellent keyboards delivered, we are happy to announce that the keyboard contest closed with a resounding success this week!

Therefore, it’s time to reveal our winners! Among the keyboards up to now there are 11 winners in total, one keyboard for first prize, 2 keyboards won the second prize, 3 keyboards won the third prize, and 5 keyboards won the excellence award.

Award Winners

Seeed Fusion invited Tamás Dovenyi, the webmaster of KBD.NEWS, to judge the outstanding keyboards together with us. To be honest, selecting the best from so many excellent keyboards is a very hard choice. The keyboards participating in the contest are all amazing and they all have different but nice features. The judges are made by Seeed staff and Tamás Dovenyi. The average of the ranking determines the winners. The scoring criteria involve: the usability and originality of the design, quality of the documentation and media provided, available source files, aesthetics of the keyboard, popularity on social media, etc. Hereby we announce the 11 winners of the contest:

1st Prize: 

Marc Rühl – TOTEM | a tiny splitkeyboard with splay

(2x)19 key ergo split: 3-key thumb cluster, pinky splay, low profile. Useful repo and classy, unique case. Nicely documented and open source. And it’s a usable keyboard, which could be used as a daily driver. Other than that, Marc took a great effort to present his design aesthetically.

2nd Prize:

Christian Lo – Beyblock20 | a magnetic, modular MacroPad

Perfect modular features and fully customizable with a unique, open-source Beyblock system. The magnetic attaching feature also looks very cool.

Sonal Pinto – Purple Owl | a 60% keyboard powered by Seeed XIAO RP2040

A very simple RGB full-sized keyboard without fancy features. With innovative physical layout, it implements a scan chain (61 keys) that demonstrates the versatility of the XIAO controller. Well-documented open-source ortho(ish) keyboard. Undeniably original, cool design.

3rd Prize:

Shashank – KLEIN | a wireless ergonomical keyboard

Keycaps are printed and also have a rotary encoder. Open-source ergo split, well documented. 

伊藤彰悟 – GRIN Quern | an ergonomic keyboard on center trackpad

Monoblock split with IO expander. Has an ergonomic design and rotary encoder.

Yu Sanagi – Kidoairaku Swallowtail | a cute butterfly-shaped keyboard

54 keys + LED achieved by using the improved square matrix. Cool design and very interesting colored backlighting effects. 

Excellence Award: 

illness072 – Ten-Key | a minimalist wireless 10-key Num pad the size of a business card

It’s a wireless keyboard using Bluetooth for communication, powered by AAA batteries. Can also be used as a mouse with a built-in accelerometer.

Evgenii Vilkov – Pica40 | Split keyboard with 40 keys using XIAO controllers.

Very nice split ergo with rotary encoder. Also has wired version and wireless version. 

junzhe – Kretsträd | a 34 keys split keyboard running on ZMK firmware

Wireless ergo split with source files.

alin m elena – m4| a lego ortholinear keyboard

4-key ortho with lego frame, shift registers (hybrid matrix), and source files.

Julian Becker | a shortcut keyboard featuring 4 mechanical switches and a Display

Compact, highly customizable and very practical. Ability to have different key functions by pressing the touch sensor and key function indication on the LCD is a plus.

Winners can respectively get: 

• 1st prize: $500 USD Coupon + Seeed XIAO Pillow + Other gifts
• 2nd prize: $150 USD Coupon + Seeed XIAO Pillow + Other gifts
• 3rd prize: $50 USD Coupon + Seeed XIAO Pillow + Other gifts
• Excellence Award: $30 USD Coupon + Seeed XIAO Pillow + Other gifts

But we have to say that all the keyboards delivered in the contest are so great and we are very stoked to sponsor them. A sincere thanks to everyone who participated and made an effort in the contest! 

Furthermore, great project ideas are always welcome by us! So please stay tuned for our upcoming events and contests!

Licensed Keyboard:

After our internal discussions, we have selected 3 keyboards to license. Seeed will assist with all electronics manufacturing including structural parts, testing, certification, provide engineering and quality assurance services, and promotion, sales and distribution around the world using Seeed’s own network and channels. For more information, see Seeed Licensed Product Program page. The 3 keyboards below are the licensed products in this contest:

Shashank – KLEIN | a wireless ergonomical keyboard

Julian Becker | a shortcut keyboard featuring 4 mechanical switches and a Display

Cristian Palma | MacroBoard – 9-key hotswap mechanical macropad

Interview of winners

We are interviewing our winners about their project ideas and feelings, and will update here once it goes live!

Come and let’s explore the future with Seeed Fusion!

When we interviewed illness072 about the Seeed Fusion PCB Assembly service and he kindly share his feelings:

I have never used a PCBA service before, so this was all new to me, including the creation of the submission data and the actual ordering. I was anxious, but I was very happy when I received a perfectly working PCB with no mistakes. The XIAO series has an SWD port on the back side, which is absolutely impossible to solder manually, and I was especially impressed that PCBA could do this without any difficulty.

Seeed Fusion can assist designers with an established project plan with product development and mass production. Furthermore, we can assist with sales and distribution using our global sales network, and designers can obtain the licensing fees through sales by becoming senior partners.

Interested? Feel free to contact our customer support at fusion@seeed.io for further consultation. We look forward to hearing from you!

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In order to further optimize our customer service, we want to provide a new free shipping service for customers who place orders from overseas warehouses from now on — Free shipping on orders of 3 items or more, applicable to all products in overseas warehouses.

In early August this year, we started offering global free shipping for small packages on over 70 products, which comes with restrictions on the total amount and product weight. But now, you can enjoy free shipping as long as any 3 items(from the overseas warehouses) are contained in your order.

As shown below, when you place your order, you will see a prompt telling you how to reach the condition of free shipping and it will display a number of suggested products for you to complete your order.

The following are all shipping methods supported by overseas warehouses, and the available options will be displayed according to your location.

EU Warehouse:

• DE_DPD_Classic_Domestic(3~6 working days)
• DE_DPD_Classic_International(5~8 working days)
• DE_DHL_Paket_EU1(6~7 working days)

US Warehouse:

• DHL Smartmail Plus Expedited(2~3 working days)
• DGM SmartMail Expedited(2~5 working days)
• USPS_Priority Mail(2~7 working days)

UK Warehouse:

• Royal Mail_Tracked 24 Parcel(1~2 working days)
• Royal Mail_Tracked 48 Parcel(2~4 working days)
• Yodel_48 Service(2~3 working days)

Moreover, we added a new section — Products From Your Local Warehouse on the bazaar main page last week, it will appear for customers with US, UK, or EU IP addresses only. This new feature is designed to simplify your shopping path and improve your shopping experience in Seeed Studio.

At last, there are three single landing pages for you to check the available products in the US Warehouse, UK Warehouse, and EU Warehouse. We have been listening carefully to your voice and adding the products you want to the overseas warehouses, XIAO, Grove, reRouter, reComputer, SenseCAP… Write down your wanted products and your country in the comment section now and stay tuned for our future updates! We appreciate your support all the time.

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To better support the smart home community, now we are glad to invite engineers to join us to co-create new Grove Module Libraries to work with ESPHome and Home Assistant to promote the ecological construction of ESPHome together. Moreover, we have a number of Grove starter kits/devices up for grabs.

Use your skills to help build smart homes around the world

We’re hosting the New Grove module libraries co-create campaign over the next few months, which will take your skills to help automate homes with Seeed hardware, ESPHome, and the Home Assistant platform. Add module libraries to work with ESPHome or Home Assistant,  build smart home projects with your creation and contribute to documentation or tutorials to have a chance to get a big hardware gift bag.

If your Grove module library for the Home Assistant community is approved by ESPHome, developers will receive the gift bag directly from Seeed Studio. 

Interested?  Keep reading to find out more. 

How to enter the New Grove Module Libraries Co-Create campaign?

* Please follow up these guidelines when adding support for a Grove module.

1. Check whether the Grove module is not already supported by checking ESPHome.io and this list.
2. Please check and choose the Grove module you want from the Current Grove List and work it with ESPHome/Home Assistant.
3. Please fill out the form to submit your library proposal for your selected Grove module and we will send you a free sample for testing. New Grove module library co-create proposal. 
4. Please follow the guidelines in this document for contributions and how to add new Grove module library support for ESPHome/Home Assistant. 

What can you benefit from the new Grove Module Libraries Co-Create program?

• Get one free sample Grove module from Seeed (first coming first served)

• Get A Big Hardware Gift Bag from Seeed

All eligible PR submissions to the ESPHome repository will be sent gift bags as thanks. Winners will be announced and contacted by us in the near future. 

• Hardware Gift Bag Contents: 

1. Seeed Studio XIAO ESP32C3 
2. Seeed Studio XIAO Expansion Board 
3. Seeed Grove Air Quality Sensor  
4. Seeed Grove Relay 
5. SONOFF BASICR2 – Switch 
6. SONOFF DW2-Wi-Fi – Door/ Window Sensor
7. Seeed Studio XIAO Pillow 

Special Note: This table is a list of Seeed Studio’s Grove Module, you can co-create the Grove libraries to work with ESPHome and Home Assistant, which are being worked on by some developers from our community. We will update the progress every week for all engineers/developers who are participating in the 2022 Grove library Co-Create event. 

More Resources

• Seeed wiki for setting up Seeed Studio XIAO ESP32C3 and Grove modules with ESPHome and Home Assistant.
• Sensors and Grove modules support work with ESPHome
• Grove Bundle Kit for ESPHome, DIY Grove Modules to Work With Home Assistant

Don’t let such an opportunity slip, come and join us!!

The post Calling Embedded Engineers, Co-Create New Grove Module Libraries to Work With ESPHome/Home Assistant and Get A Big Hardware Gift Bag. appeared first on Latest Open Tech From Seeed.

Now, a LoRa®-based tracking device is born to tackle these potential problems that occurred during the boat owner’s absence: NENA. Sponsored by the Seeed Fusion Power-up PCBA service, Thanos Pelekoudas is able to build a LoRa® monitoring system with the Seeed Studio Wio-E5 wireless module that keeps track of boats’ certain conditions remotely.

Prototype of the NENA

What is NENA

NENA is a device that monitors unattended anchored and docked boats for excessive roll/pitch angles due to unexpected weather conditions, anchor drift, and boat intruders. Onboarded with several sensors to measure targeted factors, the device will send alert notifications immediately to the boat owner whenever abnormal conditions are detected.

Features of the NENA:

• Industry-leading components selected, including BLE/NFC/PIR/ENV/GNSS/LoRaWAN® modules.
• Small, low-height 4-layers PCB of 84x36x3mm size (DxWxH). Waterproof IP67 enclosure 105x50x28mm including 2xAAA user-replaceable batteries.
• Reliable roll/pitch readings, even in non-stationary vehicles.
• Low power design. The onboard solar charger and wide input voltage range down to 0.7V allow a variety of power sources (LiPo, Li-SOCl2, Alkaline, etc) and ensure power-autonomous maintenance-free operation.

Circuit Board of the NENA

What Kind of Sensors NENA Uses

There are in total 4 sensors integrated into the device for necessary measurements:

• The accelerometer determines roll/pitch angles. The use of gyroscopes and sensor-fusion algorithms was early abandoned to keep power consumption low.
• Temperature, humidity, and barometric pressure sensor log weather data.
• GNSS receiver keeps track of the boat’s position.
• PIR sensors analyze infrared radiation (human presence) in the boat.

How NENA Alerts are Transmitted

First of all, two radio configurations are implemented on Seeed Wio-E5 that enable the device to connect with LoRa® gateways through LoRaWAN®, and also allow short-range communication with a standalone LoRa® receiver (pager) or with a LoRa®-to-WiFi gateway through LoRa® P2P network.

The transmission range varies from 500m to over 20km depending on installation height and obstacles. Soon after the alert notifications are sent out from the device, the boat owner shall receive a sound alert (buzzer), SMS, email, etc. In the end, all sensor data are stored in the cloud, which makes it easily accessible for post-evaluation.

NENA Alerts’ Transmission

NENA’s Set-up, Reliability, and Potential Use Cases

NENA is a compact, waterproof, and power-optimized device containing all necessary sensors and wireless transmitters. Set-up of the device is easy, since the connection to the boat’s electrical wiring or radio equipment is not required, and the default device setup covers most needs, with typical values for sensitivity or transmission frequency.

In addition, advanced users can alter installation or operational parameters (offset angles, alert limits, etc.) via the provided BLE/NFC mobile application to meet specific requirements based on their needs.

Standard Version of NENA

Both 10440 solar-rechargeable LiPo or standard AAA replaceable alkaline batteries can be used with the NENA for a greater duration. The device also includes self-test features to verify proper operation and report device health through periodic transmissions.

Although initially targeted for maritime use, its size and power efficiency enable further asset tracking use cases, like bicycles or motorcycles. NENA would be a handy tool to help you stay alert about the conditions of your personal belongings.

Get your Wio-E5 project manufactured for FREE with Seeed Fusion PCB Assembly Service

Wio-E5 PCBA Sponsorship Service

To accelerate the development of the IoT industry to the next level, Seeed is 100% sponsoring Wio-E5 projects with the Seeed Fusion PCB Assembly Service for all hardware enthusiasts, designers, makers, and engineers around the world!

Good ideas need to be discovered, and good projects deserve to be recognized, realized and widely disseminated! Each person is limited to two PCBA boards 100% completely FREE for one design, including PCB fabrication, the cost of parts, assembly, and shipping. The design must include Wio-E5.

If you have an interesting concept for Wio-E5 and are willing to share it with the community, share it with us and we can help you make it a reality with Seeed Fusion’s one-stop-shop capabilities. Get 2 boards fabricated and assembled completely free with Seeed Fusion’s turnkey PCB Assembly service.

Furthermore, choose all your parts from the PCBA Open Parts Libraries (OPL) and reduce the lead time to as little as 7 working days. Meanwhile, if you have mass production requirements, we highly recommend taking advantage of the Seeed Fusion PCB Assembly service and getting the Wio-E5 modules for only US$5.90 (40% discount, original price US$9.90).

Take action to bring your Wio-E5 projects to the next level!

Note: The LoRa® Mark is a trademark of Semtech Corporation or its subsidiaries.

The post Anchoring with Peace of Mind – A LoRa® Boat Monitoring System based on Seeed Wio-E5 appeared first on Latest Open Tech From Seeed.

Everyone knows how interconnected people are with each other in the 21st century, as well as the pervasiveness of the internet. But still, there are few remote places where the internet or cellular signals are absent. Therefore, personal RF links are required to maintain the communication link with each other even at these places. Also, strictly-private communication between people is considered impossible without the help of a network server or a third-party device/system, making Information security and communication privacy hard to achieve in the current days.

Now, with the help of the Seeed Fusion PCBA service, Addepalli Dolendra Vikas has designed a LoRa® communicator prototype called “directMessage” to tackle these problems. Click here to view the project page!

The Appearance of directMessage

What is “directMessage”?

DirecMessage is a communicator for exchanging peer location through a private channel by using LoRa® technology in a P2P (Peer-to-Peer) configuration. By integrating with the Wio-E5 wireless module from Seeed Studio, It communicates with the other same device over a secure 865MHz (EU868/US915/AU915/KR920/IN865) channel. This will also help to establish the link between the devices without dependency on the other systems(like a gateway). The device is equipped with GPS to get the device’s location, and a magnetometer to direct the user to the desired location.
Similar to a two-way pager, the directMessage has various advanced features, such as live navigation and sharing of location, altitude, and attitude.

Hardware Components

Let’s take a look at the key components of the communicator to see how it actually works.

LoRa® Connectivity

The directMessage is equipped with the Wio-E5 Wireless Module for Long Range Application as the MCU. It contains ST system-level package chip STM32WLE5JC, and this STM32WL module is the first SoC integrated with the combo of Long Range RF and MCU chip, providing high performance and low power consumption in a tiny package. LoRa® P2P feature can be used to establish LoRa® chatting. Sixteen buttons were used by multiplexing 4 GPIOs onto the other 4 GPIOs.

Wio-E5 Inside the Board

Location Sharing

Location sharing is an essential part of communication to run smoothly. The POT GPS module (Quectel L80) is used to acquire the user’s location. It has significantly less power consumption (in the order of 20mA) during acquisition and tracking and a reacquisition time of less than 1sec, which makes directMessage acquire the user action very quickly.

Data Collection

Sensors are used in measuring certain parameters of the device carrier: altitude, orientation, and direction of the device. A pressure sensor (BME280) is used as an altimeter. The same sensor can be used to measure the Humidity.
A 9DOF IMU (MPU280) measures the device’s orientation, acceleration, and direction (concerning the earth’s north and south pole). Users can view the roll, pitch, and yaw of the ‘directMessage’ over the display, which is a 1.8″ LCD (ST7735) that communicates with the Wio-E5 MCU over the SPI communication protocol.

Components of the directMessage

Please note that, this is currently the first version of the directMessage, and the upcoming updates will be successively provided in this article. Stay tuned!

Feedback from the Designer

Could you please briefly introduce yourself?

I’m an electronics hobbyist and a full-stack embedded developer with dexterous knowledge and experience in developing product-based embedded and IoT systems solutions.

Did you encounter any challenges when working on this project? How did Seeed Fusion help you solve them?

Yes, I faced some issues with the display. The display that I used was the ST7735 display. Incorporating it into the PCB became a tedious task. There are only development boards in the market with this ST7735 display but not the display alone. So, I had to surf the internet to find out the vendor for this display, luckily ‘Seeed Fusion’ technical team helped me in finding the vendor for this component.
Also, the technical team found a mistake that slipped my eye in the PCB design. Thank you, the ‘Seeed Fusion’ team, for figuring out the mistake in the design instead of blindly assembling the components as suggested. 

Briefly evaluate the Seeed Fusion PCBA service.

My overall experience with the Seeed Fusion team is awesome. Their technical team is conscious and thoroughly examines your design. They even helped me to outsource a few critical components. Without their help in sourcing the components, I might have compromised on a few features of the ‘directMessage.’ Their assembly service is super fast. And they helped me in clearing the customs. Once again, thank you to the Seeed Fusion team.

Get your Wio-E5 project manufactured for FREE with Seeed Fusion PCB Assembly Service

Wio-E5 PCBA Sponsorship Service

To accelerate the development of IoT industry to the next level, Seeed is 100% sponsoring Wio-E5 projects with the Seeed Fusion PCB Assembly Service for all hardware enthusiasts, designers, makers, and engineers around the world!

Good ideas need to be discovered, and good projects deserve to be recognized, realized and widely disseminated! Each person is limited to two PCBA boards 100% completely FREE for one design, including PCB fabrication, the cost of parts, assembly and shipping. The design must include Wio-E5.

If you have an interesting concept for Wio-E5 and are willing to share it with the community, share it with us and we can help you make it a reality with Seeed Fusion’s one-stop-shop capabilities. Get 2 boards fabricated and assembled completely free with Seeed Fusion’s turnkey PCB Assembly service.

Furthermore, choose all your parts from the PCBA Open Parts Libraries (OPL) and reduce the lead time to as little as 7 working days. Meanwhile, if you have mass production requirements, we highly recommend taking advantage of the Seeed Fusion PCB Assembly service and get the Wio-E5 modules for only US$5.90 (40% discount, original price US$9.90).

Take action to bring your Wio-E5 projects to the next level!

Note: The LoRa® Mark is a trademark of Semtech Corporation or its subsidiaries.

The post Private Communication Device – A LoRa® Navigation System based on Seeed Wio-e5 and Fusion PCBA appeared first on Latest Open Tech From Seeed.