Control LED brightness using hand/fist detection using ML on an ESP32-CAM
This project combines machine learning and robotics to enable a robotic arm to recognize and pick up a wooden block, demonstrating the poten
Take smart home projects to the next level with novel lighting control techniques.
Using Vitis for FPGA acceleration, this second part covers how to add the accelerated kernel to the embedded Linux image in PetaLinux.
We will install HuskyLens to a Devastator tank mobile robot, then HuskyLens will control the robot to perform line tracking.
This is a “magic wand” which can be waved to cast a variety of spells. It takes sensor data as input and outputs a simple classification.
Track and create custom objects, like switches, across a room with a camera, so that one can open up new interaction models in IoT space!
Learn How to Accelerated ML inference on Raspberry Pi with TensorFlow Lite and Arm NN Delegate 🚀
Detect running faucet using low powered i. MXRT1010 development board and Edge Impulse Studio.
It is an lightweight intelligent solution designed to monitor and identify abnormal vibration patterns in real-time.
Convert any text into the Simlish language from the game, The Sims; with the power of ChatGPT!
Learn how to build a supervised anomaly detection project with Edge Impulse that syncs inferences with the cloud using the Blues Notecard.
Turn minefields into playgrounds. Our AI robot autonomously detects landmines, clearing a path for a safer future.
LogicTronix.com have built the "Deep Learning Processor Unit (DPU) TRD for ZCU104." We have created the VIVADO project and PetaLinux.
We have created your future home in this project you will see a virtual assistant augmented reality and machine learning together.
Ability to detect vision-based compliance to protect human safety.
Inference at the edge is the new hype. But what about training at the edge ? This project aims at exploring that with FPGA acceleration.
An exploration of the mediapipe models, and how they are still relevant today.
Learn how to deploy a chatbot using a large language model (LLM) on the Mixtile Blade 3 (RK3588) NPU
This project describes how to create a custom Vitis platform for ZCU104 and run the SR app from Vitis-AI prebuilt model zoo on the platform.
Installing yolov8 on a Jetson Nano board and testing using a custom dataset trained model.
Track faces and receive notifications in real-time using a Raspberry Pi 4, Intel Neural Compute Stick, and AWS.
Hajimete! Let DL pushing madness begin!
Hands-On with the Raspberry Pi
