Solution for deploying advanced AI models on embedded systems, Using our Synapedge ONNX-to-C compiler.
Using Vitis for FPGA acceleration, this post in the series for the KV260 covers the final step of creating & testing the Vitis Platform.
An android camera-based augmented reality app that automatically solve and fill sudoku puzzles using vision.
Design a vision based line following robot using CH32V307 Dev board and a Husky Lens
Learn how to create a prototype of a roadside litter detection device that maps trash in cities using Blues Wireless and Edge Impulse.
Create a Face Detection Script for Vitis-AI 1.4 Kria
Yarn count and grams per square meter determination using a magnified image of fabric and PYNQ computer vision and BNN overlays.
Deploy an object detection model on DPU to build a system which can show detected commodities in VCU decoded video or images from camera.
Building the "Squirial Sentinel" with Arduino’s New Dual-Brain Power
You can quickly start with Raspberry PI AI camera powered by Sony's IMX500 Intelligent Sensor and try pre-trained sample AI models.
A cute little companion bot for media excursions! With a smart, consent-based camera, high-quality microphone, and cute wiggly ears.
This project outlines the latest updates to the Kria KV260 PetaLinux project when using the 2021.2 BSP since 2021.2 was originally released.
This tutorial is on how to create DPU (3.0) TRD for Ultra96 board, how to setup the DNNDK and test with Resnet50 & Yolo application on it.
Covers basics on loading and running Computer Vision AI Model (Mobilenet SSD v2) on Raspberry Pi AI Camera, with visualization.
Water level measurement using artificial vision with Raspberry Pi.
Automating Fruit Harvesting and Sorting: A Fascinating Educational Case Study with 2 Robotic Arms
Detect hard hats using the Edge Impulse Linux SDK on MaaXBoard Mini.
Discover how to set up and run YOLOv12 on Jetson Nano 4GB for real-time object detection. Efficient, powerful AI at the edge!
I intend to address the problem of squirrels invading my bird feeders using a surveillance system designed with the KRIA™ KR260. Kit
This project helps you to detect and count moving cars, all in 'real time'
Learn to create custom vision and audio TinyML models on Seeed Studio Grove Vision V2 using Edge Impulse, from data collection to deployment
TensorFlow 2 implementation of DenseNet and the SARS-COV-2 Ct-Scan Dataset by our collaborators, Plamenlancaster/LIRA.
An autonomous car using a Raspberry Pi with camera vision and real-time encoder feedback to stay in its lane.
Human falls is a major reason for deaths in elderly people. It can be prevented by an automatic fall detection, and alert system.
