Bring some Cyberpunk to life and some Keanu to your ears. Arasaka would be proud.
This project tutorial will show you how to implement a Fiber Optic Cable fault detection system with machine learning, Blues & Qubitro.
CCTVs just watch, this one thinks! Using AI to identify human activities that may pose security threats to vehicles!
The dogs are considered a valuable partner of human beings in times of danger, loneliness, and happiness.
This project compares inferencing MobileNet and EfficientNet-Lite on the Coral dev board vs MaaXBoard and Raspberry Pi.
A project that utilizes Raspberry Pi and Pico to recognize objects, perform preprocessing on them, and notify the user as an alarm on Telegr
This tutorial shows the different ways how to perform an inference in AIfES®.
A demo on how to implement object detection and tracking found objects. Edge Impulse Linux Python SDK is used for the object detection
Edge Impulse image classification on the new Raspberry Pi 5 🤔🔎🎅
Empowering Students for a Sustainable Future through Real-time Water Monitoring and Wastage Prevention with TinyML and IoT
Automates sitrep or 'situational report' for your city using computer vision.
With ROS 2 integration, the YOLO-Pro model from Edge Impulse powers real-time hand tracking on the Rubik Pi 3, accelerated by Qualcomm AI.
An industrial automation system for block sorting, utilizing Computer Vision and Finite State Machines, implemented with Edge Impulse.
Build a machine learning application which comprehends human gestures based on the 3D acceleration measured by an accelerometer sensor.
A TinyML model using Edge Impulse and wio terminal to predict the faulty lithium ion cell in BMS pack
This article will how to run a Voice AI Agent on ESP32. All the code here is open sourced
Use Bolt IoT Platform and LM35 temperature sensor to make your own anomaly detection device at a very low cost.
Begin personalizing your TinyML magic wand by training the model with data you collect.
Explore Intel's OpenVINO platform by seeing how to set it up and run an example project.
This project shows how to do a basic machine learning on Arduino with CASP.
Learn to putt like your favorite pro golfer with machine learning.
WAiT is a project that track the movement of wild animal at the application area, identify the animal class and report it on the webserver.
If you need to build your own version of Yocto for MaaXBoard, here is the complete guide.
Deploying a CNN based Satellite image classification approach on Sony's Spresense with the recent announcement of Spresense going to space.
