Seeed Monthly Wrap-up for September
Seeed Monthly for September highlights 7 groundbreaking news stories, 9 fascinating industrial case studies, 7 product and tech updates, 6 Seeed Wikis and 4 inspiring projects.
Hey community,
Don’t miss the latest Seeed Monthly for September! Prepare for 7 groundbreaking news stories, 9 fascinating industrial case studies, and 7 product and tech updates that will leave you in awe. Boost your knowledge with 6 Seeed Wikis, offering expert insights. Dive into the vibrant open-source community with 4 inspiring projects. Discover the power of technology and join the journey into the world of Seeed!
📰 I. News that You Don’t Wanna Miss
01. Raspberry Pi 5: Fresh Out of the Oven, Ready to Amaze!
After a long five-year wait, the Raspberry Pi 5 is finally on the horizon, and enthusiasts are eager to get their hands on this new iteration of the beloved single-board computer. Raspberry Pi 5 offers a significant performance boost, with CPU speeds 2-3 times faster than its predecessor, the Raspberry Pi 4. This improvement, coupled with enhanced GPU capabilities, makes it a powerhouse for various computing tasks. Find out more here.
02. Meet up with Raspberry Pi at Maker Faire Shenzhen and Showcase your Projects on MagPi!
The Maker Faire Shenzhen this year will bring you numerous surprises and celebrations. One of the most significant events should be the official presence of Raspberry Pi as our enabler partner. They will showcase their products and solutions to all Raspberry Pi enthusiasts and community members in China. Taking advantage of this cool opportunity for Raspberry Pi’s official visit to China, we have also organized a meetup specifically for Raspberry Pi enthusiasts attending the Maker Faire in China, partnering with Raspberry Pi and MagPi team!
03. Join the Seeed Ranger Program: Empowering Developers and Building Communities
The Seeed Ranger Program is an initiative designed to collaborate with skilled and experienced developers who share a passion for community building and knowledge sharing. Our goal at Seeed is not only to extend the reach of our technology offerings and service expertise but also to nurture a core group of experts who can become our close partners in product development and even market expansion. Learn more.
04. Home Assistant Green: the Easiest and Most Privacy-focused Way to Automate your Home
On their 10th anniversary, the CEO of Home Assistant, Paulus Schautsen, unveiled their visionary commitment to bringing the smart home concept to every household. This ambitious goal was embodied in the groundbreaking release of Home Assistant Green, a novel and innovative solution designed to transform the way we interact with our homes. Read more.
05. SenseCAP T1000 & Wio Tracker 1110 Achieve 526% Funding on Kickstarter, Pre-Order Now
We’d love to share a piece of exciting news that our 18-day Kickstarter campaign of SenseCAP T1000 LoRaWAN GPS Tracker and Wio Tracker 1110 Dev Kit has come to a successful end with $105,217 funding from 946 backers all around the world (This’s HUGE)! We want to express our greatest gratitude, and we would never have gotten this far without your love and support! Find more details here.
06. Unlocking the Power of TinyML: XIAO Workshop Journey in August
The tinyML workshop is guiding you in diving into the world of EdgeLab, exploring the limitless possibilities of Edge Impulse, and getting your hands with real-world TinyML action on the XIAO ESP32S3 Sense development board. Thanks to the incredible efforts of our Ranger, Salman Faris, the workshop was a great success in India! And now, let’s take a moment to relive the magic through Salman’s captivating recap. Read more.
07. SenseCraft AI: Upgrade Any Camera with YOLOv8 in A No-Code Way!
We are introducing SenseCraft AI, a new suite of applications including an open-source inference server and web UI to deploy any YOLOv8 to NVIDIA Jetson Orin devices and visualize captured streams, without any line of code. Step to the repository
🎬 II. Industrial Case Studies
01. Edge AI in QSRs: Enhancing Operation Efficiency and Delivering Excellent Service
In the bustling realm of Quick Service Restaurants (QSRs), where speed, convenience, and quality are the cornerstones of success, a revolution is on the horizon. When a restaurant manager embarks on the mission to optimize QSR management efficiency, they encounter a multifaceted challenge that extends beyond the kitchen and into the very heart of customer satisfaction. Here’s the comprehensive solution harnessing the power of computer vision technology deploying the Jetson Orin NX and alwaysAI platform. Discover More.
02. Edge AI-enabled Drones Delivering First Response for Public Safety
Public safety is one of the important links in city management, whether it is forest inspection or rescue scene. It usually plays a key role when the emergency department can not be there on time. Let’s take the forest fire as an example. It’s commonly related to fire prevention, forest resource monitoring, etc. However, the traditional manual inspection has obvious disadvantages of low efficiency, and if the discovery is delayed, it is likely to cause irreversible loss and consequences to forest resources. Read more here.
03. Streamlining Transportation with Jetson: Advanced Multi-category and Cross-lens Tracking for Complex Scenarios
For urban transportation, managing traffic flow and ensuring road safety has become an increasingly complex task. Here is a versatile and robust tracking system designed to address the intricacies of various target tracking scenarios continuously, with a special focus on enhancing the capabilities of the NVIDIA Jetson Xavier NX. Read more.
04. Computer Vision with Fitness: Effectively Evaluate Human Motion with Feedback in Real-time
In today’s fast-paced world, fitness enthusiasts and athletes are constantly seeking innovative ways to enhance their training routines. The challenges that fitness trainers and enthusiasts face when analyzing real-time workout progress, particularly in assessing exercise form and correctness, are multifaceted. NVIDIA Jetson Orin Nano can tackle the challenges of real-time workout progress analysis and exercise correctness with computer vision capability. Explore more.
05. Computer Vision for Zoo Management: Learning from Animals’ Life Patterns to Enhance Welfare
Traditionally, the task of monitoring animals within zoo enclosures has rested heavily on manual observations – a process often plagued by its own set of challenges, including time constraints, labor intensiveness, and the inherent potential for human error. The proposed solution leverages cutting-edge computer vision AI models, deployed on the powerful NVIDIA Jetson Orin Nano, to optimize zoo management. Read more.
06. People Flow Analysis in Public Space – Especially Avoid Missing Detection due to Occlusion
“How many people come in and out every day?” “Is this specific place too crowded?” In today’s fast-paced world, the efficient management of public spaces has become more critical than ever. Shopping malls, railway stations, subways, and other bustling public places serve as the lifeblood of our cities, These key data points are not just crucial for business optimization; they also play a pivotal role in shaping relevant public health safety prevention and control measures. More
07. Comovis: Enhancing Indoor Air Quality Monitoring with the Seeed Studio XIAO ESP32C3 and Home Assistant
Delve into the importance of recognizing indoor air pollution and its impact on our health. Meet Comovis, a cutting-edge indoor air monitoring device created by Nayel Khouatra. Comovis not only detects harmful PM2.5 particles but also tracks temperature and humidity. With its intuitive light indicator and seamless Home Assistant platform integration, Comovis empowers users to easily assess their air quality for a healthier living environment. Explore more.
08. XIAO nRF52840 Sense-Powered Self-Sustaining IoT: Harnessing Indoor Solar Cells and EdgeML
Traditional battery-powered IoT devices are often unreliable and costly due to frequent recharging or replacement. Indoor solar cells offer a sustainable alternative by harnessing indoor light for perpetual energy, eliminating the need for constant battery changes. In this project, discover how to use a Seeed Studio XIAO nRF52840 Sense to run a machine learning algorithm trained with Edge Impulse, sending inference values via BLE to a gateway. Read more.
09. Stock Management with Edge AI Capability in Intelligent Industry
To effectively address the complex challenges of real-time industrial stock management, a comprehensive solution emerges through the strategic fusion of cutting-edge technologies. Leveraging the remarkable capabilities of the NVIDIA Jetson Orin Nano paired with web cameras – whether mounted on associates’ heads or held by hand – this solution empowers warehouses to revolutionize their inventory control processes. Learn more.
👩💻 III. Product & Tech Updates
01. Installation Home Assistant on Docker Container: What You Should Know about
Running Home Assistant in a Docker container streamlines the installation and management processes, enhances portability across different platforms, ensures isolation from other software, and benefits from the robust Docker community support. While it may require some initial setup, the advantages often outweigh the complexities, making Docker a popular choice for Home Assistant enthusiasts looking for a flexible and efficient deployment method. Read more.
02. Raspberry Pi 5 vs. Pi 4 AI performance CPU Benchmark: How much leap forward?
Welcome to the latest generation of Raspberry Pi: the everything computer. Featuring a 64-bit quad-core Arm Cortex-A76 processor running at 2.4GHz, Raspberry Pi 5 delivers a 2–3× increase in CPU performance relative to Raspberry Pi 4. Alongside a substantial uplift in graphics performance from an 800MHz VideoCore VII GPU; dual 4Kp60 display output over HDMI; and state-of-the-art camera support from a rearchitected Raspberry Pi Image Signal Processor, it provides a smooth desktop experience for consumers, and opens the door to new applications for industrial customers. More info to find.
03. Open Manufacture: How We Optimized the GPS Antenna for our SenseCAP T1000 LoRaWAN Tracker to Achieve 99%+GPS Pinpointing
In this blog, Kunzang will take you on a journey behind the scenes, shedding light on the crucial role of GPS antennas in our newly released SenseCAP T1000 LoRaWAN GPS Tracker. Get ready to explore the science, challenges, and breakthroughs that make SenseCAP T1000 a game-changer in the world of GPS tracking, all while tackling the formidable challenge of compact antenna design. Find out more.
04. Tips for Improving Object Detection Model Accuracy: Optimize YOLOv8 Deployment on NVIDIA Jetson!
In the realm of computer vision and artificial intelligence, developers are currently meeting a formidable challenge: the obvious gap between the object detection accuracy demonstrated by cutting-edge models and the actual results achieved in practical applications. In this journey, we will explore a range of methods and strategies to tackle this problem head-on, offering insights into how developers can enhance their object detection systems to meet the high standards set by these advanced models. Read more.
05. Empowering Industries with Intelligent Object Detection and Proactive Decision-Making with Yolov5 and Raspberry Pi-powered reTerminal DM
The integration of cutting-edge object detection capabilities within reTerminal DM represents a pivotal advancement for a multitude of industrial applications. By harnessing the power of YOLOv5n’s precise and real-time object detection, this adaptable device redefines how industries manage operations, ensuring heightened efficiency, safety, and productivity. Learn more.
06. 4G and LoRa Technologies: Seeed Offers Optimal Kit Guidance for IoT Scenarios
In today’s digital age, the Internet of Things (IoT) is reshaping the way we live and work. To seamlessly connect devices and transfer data, we need to choose the right communication technology for different scenarios and needs. This blog explores two key IoT communication technologies: 4G and LoRa, and provides guidance on selecting the best 4G or LoRaWAN solution kit based on specific requirements. Discover more.
07. Meet Wio Tracker 1110, an Open-Source Dev Kit for Your First LoRaWAN Tracking and Monitoring Project
The Wio Tracker 1110 development kit is a user-friendly, LoRa-based tracking development platform. With its compact size and rich interfaces, it is conveniently equipped with an onboard branded antenna for easy deployment. It supports the Arduino IDE and LoRaWAN protocol stack, making it an ideal choice for building PoC of tracking and monitoring-based IoT projects. Read more.
📚 IV. Seeed Wiki and Know-Hows
01. Home Assistant Topic Page
We are honored to present our endeavors on Home Assistant Platform. Hence, in this wiki, you will find the products related to the Home Assistant and tons of projects base on it to achieve high-privacy, versatile, sustainable home automation. Check Out today.
02. Object detection with Edge Impulse and reTerminal DM
In today’s digital landscape, the integration of edge AI and IoT (Internet of Things) technologies has opened up exciting possibilities for developers and enthusiasts. One such powerful platform that simplifies the creation of machine learning models for edge devices is Edge Impulse. In this step-by-step guide, we will walk you through the process of installing Edge Impulse on your reTerminal device and creating a local object detection solution. Learn more.
03. 5 Minutes to Develop an Industrial LoRaWAN Sensor
When prototyping for a commercial data acquisition project, it takes a lot of time and cost to prototype. For example, we need to make a wireless pH sensor for an agricultural project. We need to 1) Find the development board and sensor probe. 2) Write code. 3) 3D print the shell. 4) Final assembly test. By the time we complete the prototype, it can take days or even weeks.
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. Find out more.
04. The Efforts of Contributor: Connect XIAO nRF52840 Sense to Home Assistant (CircuitPython)
In this wiki, we will show how to use the Bluetooth 5.0 BLE capabilities of the Seeed Studio XIAO nRF52840 with the Seeed Studio Grove Temperature & Humidity Sensor (DHT20) to broadcast measurements of temperature and humidity to Home Assistant using the BTHome protocol. Check out today.
05. Getting Started with reServer Industrial
reServer Industrial features 2x 2.5″ SATA HDD/ SSD drive bays to easily store hundreds of local video footages in a video analytics application. Also it enables multiple connectivity options including 5 RJ-45 Ethernet ports, 1 RS232/422/485, 4x Isolated DI/DO, 1x CAN, 4* USB3.1. Fanless design with versatile mounting options allows deployment from -20 to 60 ℃, which is ideal for more harsh environments and heavier loads. Learn more.
06. Seeed Studio XIAO nRF52840 on Amazon Sidewalk
Seeed Studio is proud to be a part of the Amazon Sidewalk ecosystem partners, providing Sidewalk-enabled products and solutions that enable diverse IoT use-cases on the Sidewalk network. We have updated the contents regarding Sidewalk on Seeed Studio XIAO nRF52840, certificated by AWS official. Find out more.
🌈 V. Community Project Spotlight
01. Replacing Raspberry Pi Zero W Gate Opener With XIAO RP2040, by Majed Abouhatab
Majed Abouhatab, P.E. integrated a CC1101 Transceiver to work with the XIAO RP2040 and used the SmartRC-CC1101-Driver-Lib due to its minimal configuration requirements. Power is conveniently supplied through a USB cable, and the device was ingeniously trimmed to fit snugly within a Kinder Egg toy capsule. Explore more here.
02.Digitalizing the Wild with Blues, by Pradeep Thiruna
Leverage TinyML, IoT, and LoRa technologies to develop innovative solutions for real-time monitoring of wildlife encroachment into human habitats. This solution aims to promptly issue alerts to prevent potential conflicts between wildlife and humans. Explore the full project by Pradeep Thiruna here.
03. MicroMote: The ESP-Now Based Gesture Remote, by Mukesh Sankhla
Created by Mukesh Sakhlna, MicroMote is a Gesture Remote powered by ESP-Now technology, seamlessly incorporating a XIAO ESP32S3 and a Grove-Smart IR Gesture Sensor. This compact and innovative gadget, measuring a mere 4cm in size, is poised to revolutionize the way you interact with your smart electronic appliances, lamps, and more. More.
04. Cellular Automated Hydroponics System with Blues& Qubitro
An innovative hydroponics system based on IoT technology offers a soilless method for plant cultivation. It leverages internet-connected sensors and actuators to control the supply of water and nutrients. With the assistance of IoT devices, farmers can conveniently oversee and manage their hydroponic farms from a distance. Explore more.
That’s all for today, thank you all for reading through this September Monthly Wrap-up in your spare time. (It is indeed a fruitful month!) If you wanna share what projects you’re working on, shoot us a tweet @seeedstudio, let us know on LinkedIn and Discord, or publish your project on our Project Hub on Hackster.
#Notes
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 format, we’re publishing them on our blog, so as to keep 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.
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About Author
A ground-free technique of growing plants is provided by an inventive hydroponics system built on IoT technology. For the purpose of regulating the flow of water and nutrients, it makes use of internet-connected sensors and actuators.