This project uses a USB webcam, MATLAB and ThingSpeak to create a cloud based people counter.
MyzharBot is a mobile robotic platform created to study algorithms for autonomous guide based on computer vision and AI
This guide provides detailed instructions for targeting the Xilinx Vitis-AI 2.5 flow for Avnet Vitis 2022.1 platforms.
Using a mixture of computer vision, embedded systems, and servo motors, you can move a servo using only the number of fingers up on a hand.
Siamese Neural Networks trained using Triplet Loss to classify known and unknown faces.
An automated robotic arm sorting colored objects using computer vision and real-time operating system.
Estimating plant growth parameters for high throughput phenotyping using regression and EdgeImpulse on low power Sony Spresense under 0.35A!
Intel MyriadX VPU meets OpenCV
Acute Lymphoblastic Leukemia Detection on the NVIDIA Jetson Nano.
PiTextReader allows someone with impaired vision to “read” text from envelopes, letters and other items using OCR & Text-to-Speech.
Improper strength training is dangerous, but personal trainers are expensive. FormCheck provides real-time feedback on your exercise form.
Learn How to Accelerated ML inference on Raspberry Pi with TensorFlow Lite and Arm NN Delegate 🚀
Use Nvidia GPU accelerated OpenVX to track a Tennis ball.
Jetson Nano control and vision with 4-Wheel Steering, ROS2 RealSense2, RPlidar, BNO055, Python3
LogicTronix.com have built the "Deep Learning Processor Unit (DPU) TRD for ZCU104." We have created the VIVADO project and PetaLinux.
How to use the most advanced Ai /CV techniques combined with Arduino to create a fully self driving vehicle capable of driving on real roads
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.
Hajimete! Let DL pushing madness begin!
A remote-driving intelligent robot car based on IoT oneM2M techniques
Hands-On with the Raspberry Pi
Build a machine vision app with Grove Vision AI V2 and SenseCraft. Run AI models locally for smart, low-power, cloud-free projects.
Build a voice-controlled AI assistant using an ESP32, Xiaozhi and MCP
This tutorial detailed on Quantization steps (including PTQ, Fast-finetuning & QAT) for Renset 50, 101 & 152 in Pytorch & Vitis AI 3.0.
