Found 84 repositories(showing 30)
ntduong31
Production-ready object detection system (Yolov8n) with async video output and comprehensive optimizations in Raspberry pi 5
xudoong
To deploy Transformer models in CV to mobile devices.
Siddharth-R1
Deep learning pipeline for industrial surface defect detection using TensorFlow MobileNetV2. Loads DAGM and MVTec datasets, classifies images as defective or not, and identifies errors for automated quality control and manufacturing inspection.
LINC-BIT
No description available
CahillMeyer
Jetson-based modular object detection starter kit using OpenCV and YOLOv5. Built for real-time embedded CV systems in robotics, industrial automation, and smart sensors.
XuKunyao
基于韦东山Imx6ull-pro开发板和OpenCV4.5.2和SeetaFace2
abypaulvarghese56
Capture RTSP streams from 4 different IP cameras in Raspberry PI 4 and perform a human detection using Intel NCS .
Bhavanapoli08
EdgeVision is a lightweight object detection system using YOLOv5 with C++ and OpenCV on Raspberry Pi. It enables real-time and still image detection using ONNX models, optimized for edge devices with minimal hardware requirements.
Hbib316
EdgeVision est une solution complète de surveillance intelligente basée sur ESP32-CAM, combinant la détection d'objets en temps réel avec Edge AI, la communication MQTT et le stockage cloud dans MongoDB. Ce système permet la détection, l'analyse et le suivi d'objets avec une interface web professionnelle.
ConsentiumIoT
No description available
arpsn123
A distributed IoT-based real-time computer vision system that uses a mobile device as a live camera node, streaming video over a network for YOLOv8-powered object detection, tracking, and analytics using OpenCV.
xianshi3
Machine Vision Application
No description available
EdgeVision leverages Raspberry Pi 4 and Camera Module V2 for a real-time object-counting system using Faster R-CNN ResNet-50. This project demonstrates advanced machine learning on edge devices with an interactive user interface for varied applications.
Mfoniso1
edgevision
aditya23bai11093-boop
No description available
7benny
No description available
jlelwtf
No description available
Sabircoder19
No description available
renorajan
EdgeVision-DocuSense-AI-Platform
ashiknazar
Running AI-powered vision on edge devices
Maman08
No description available
AliNikkhah2001
No description available
KURUBARENUKA
Edgevision is a real-time mobile computer-vision application built using Android (Kotlin), OpenCV in native C++ (via JNI and the Android NDK), and OpenGL ES 2.0 for GPU-accelerated rendering. The app captures live camera frames using the Android Camera2 API, sends the raw NV21 image data to a native C++ module, and processes each frame using OpenCV
yuga-i2
No description available
codiphile
Real-Time Edge Detection Viewer
RPavan14
Real-time Android edge-detection app using Camera2, OpenCV C++ (NDK), JNI, and OpenGL ES 2.0. Captures camera frames, processes them natively with Canny/Grayscale, and renders results as GL textures. Includes modular native pipeline and a TypeScript web viewer for displaying sample processed frames with FPS and resolution overlays.
pavankumar-21
AI-powered real-time object detection on ESP32 with Edge Impulse ML models & OLED display
Jeel13
EdgeVision demonstrates a distributed face recognition system leveraging AWS edge and cloud services. It detects faces on an IoT edge device using AWS IoT Greengrass and recognizes identities in the cloud via AWS Lambda, with communication between components using MQTT and Amazon SQS.
amirZareie
No description available