This repository contains multiple samples demonstrating how to use YOLO models with the ZED camera, utilizing the highly optimized TensorRT library, as well as a Python sample that uses PyTorch and ...

This is the 19th week of my "100-Week Challenge." Last week, I took on human detection using MediaPipe, but this week I finally dove into "YOLO (You Only Look Once)," a representative model for object ...

Build practical Edge AI applications with Raspberry Pi, from basic concepts to object detection and robotics, using the AI HAT+ and Camera Module 3. Edge AI is bringing data processing directly onto ...

Real-time object detection and classification. Paper: version 1, version 2. Live stream object detection can be seen by running the yolo_sample.py file. All input images from default folder sample_img ...

Cleaning PV (photovoltaic) panels is essential for a PV station, as dirt or dust reduces the effective irradiation of solar energy and weakens the efficiency of converting solar energy into free ...

Abstract: Detecting and avoiding potholes is a very challenging task in India due to the poor quality of construction materials used in road privilege systems. Identifying and repairing potholes as ...

This device integrates real-time face detection with a 5-point facial landmarking system to identify known and unknown faces. It serves multiple applications, from a face recognition-based doorbell to ...

Abstract: Traditional security camera systems (CCTV cameras) only record video without automatic analysis, necessitating continuous human monitoring. This approach is ...

OpenMV has launched a new Kickstarter campaign introducing the OpenMV N6 and AE3, two low-power AI-enabled cameras designed to bring machine vision to a wider range of applications. Known for its ...