real-time-detection
There are 1 repository under real-time-detection topic.
yihong1120 / Construction-Hazard-Detection
Enhances construction site safety using YOLO for object detection, identifying hazards like workers without helmets or safety vests, and proximity to machinery or vehicles. HDBSCAN clusters safety cone coordinates to create monitored zones. Post-processing algorithms improve detection accuracy.
Language:Python 328kaka-lin / object-detection
Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)
Language:Python 192Fengrui-Liu / StreamAD
Online anomaly detection for data streams/ Real-time anomaly detection for time series data.
Language:Python 128JeffWang0325 / Image-Identification-for-Self-Driving-Cars
🖍️ This project achieves some functions of image identification for Self-Driving Cars. First, use yolov5 for object detection. Second, image classification for traffic light and traffic sign. Furthermore, the GUI of this project makes it more user-friendly for users to realize the image identification for Self-Driving Cars.
Language:Python 50alanli1997 / rethinking-fpn
[ECCV 2024] PyTorch implementation of Rethinking Features-Fused-Pyramid-Neck for Object Detection
Language:Python 42- object-detection-using-webcam
codershiyar / object-detection-using-webcam
This project demonstrates real-time object detection using YOLOv8 and opencv with a webcam or Intel RealSense camera.
Language:Python 37 sayaleepote / CustomVisionMicrosoftToCoreMLDemoApp
This app recognises 3 hand signs - fist, high five and victory hand [ rock, paper, scissors basically :) ] with live feed camera. It uses a HandSigns.mlmodel which has been trained using Custom Vision from Microsoft.
Language:Swift 25mkchoi-0323 / modified_refinedet
Modified RefineDet
Language:Python 23- Language:C++ 23
cj-mills / pytorch-yolox-object-detection-tutorial-code
This repository contains the training code for my PyTorch YOLOX object detection tutorial.
Language:Jupyter Notebook 20Elysian01 / Exercise-And-Yoga-Tracker
Yoga-Tracker classifies various Yoga poses and not just static pictures but also real-time yoga poses performed in front of the camera.
Language:Jupyter Notebook 17abd-shoumik / Face-Mask-detector
It can detect face mask from images and real time videos.(VGG 16,OPENCV & KERAS)
Language:Python 13emineeminesahin / DroneDetectionWithYOLO
Real Time Drone Detection with YOLOv3, YOLOv3-tiny, YOLOv4, YOLOv4-tiny, YOLOv5x, YOLOv5s, YOLOv6-L, YOLOv6-S, YOLOv7-X, YOLOv7, YOLOv8l and YOLOv8s
sergio11 / safedrive_drowsiness_detection
🚗 Driver Drowsiness Detection with Deep Learning (PoC) 🧠 A personal experiment comparing CNN + MobileNetV2 and YOLOv11 for real-time drowsiness detection. Focused on evaluating accuracy and efficiency to explore AI’s potential in preventing fatigue-related accidents. 😴⚡ A hands-on dive into safety-driven computer vision.
Language:Jupyter Notebook 12aimaster-dev / pong-motion-control
This project is a hand-gesture-controlled Pong game using TensorFlow, OpenCV, and Pygame. It detects open hands via webcam in real time to control paddles, combining AI vision with interactive gameplay for a novel touchless experience.
Language:Python 11null-void-Q / real-time-violence-detection
real-time violence detection on video content
Language:Python 11donnie-jun / commercial-detection
Tensorflow object detection with PPN for embedded commercial detection
Language:Python 10ngzhili / SignPose
A Flask web application game that detects real time Dynamic Sign Language using LSTM Keypoint Detection Model.
Language:Python 9Tartistbz / Airsim_Yolov5_ODRT
这个仓库主要通过使用图像API将AirSim与YOLOv5连接，实现实时检测。 This repository primarily implements real-time detection by connecting AirSim with YOLOv5 using the image API.
Language:Python 9- Language:HTML 8
- Sign-Language-to-Speech
RhythmusByte / Sign-Language-to-Speech
Real-time ASL interpreter using OpenCV and TensorFlow/Keras for hand gesture recognition. Features custom hand tracking, image preprocessing, and gesture classification to translate American Sign Language into text and speech output. Built with accessibility in mind.
Language:Python 6 TRahulsingh / DeepfakeDetector
A state-of-the-art, open-source deepfake detection system built with PyTorch and EfficientNet-B0, featuring a user-friendly web interface for real-time image and video analysis.
Language:Python 5Arpanjot0Singh / Sign-language-computer-vision
A computer vision-based sign language recognition system using MediaPipe and neural networks to classify static and dynamic hand gestures for real-time applications.
Language:Jupyter Notebook 4awab-sial / Human-Action-Recognition
An AI-powered Human Action Recognition system that classifies 15 common human activities using deep learning and computer vision. Built with TensorFlow, Keras, and OpenCV, the system supports real-time predictions from live camera feeds or uploaded images/videos through a user-friendly PyQt interface.
Language:Python 4Nizarassad / Face-mask-detection
This project aims to develop a real-time face mask detection and classification system using computer vision techniques.
Language:Jupyter Notebook 4RezaGooner / Multi-Task-Iranian-Vehicle-Monitoring-System
Car recognition and license plate reading, along with recognition of the place where the license plate was issued, car color recognition and Iranian car names, accident detection and warning notification.
Language:Jupyter Notebook 4SametGundz / DriveSafe
Real-time driver drowsiness and distraction detection system. EU regulation C(2023)4523 compliant gaze zone detection.
Language:Python 4Real-Time Detection of Drones with YOLOv3 Deep Learning Algorithm
Language:C 3Kathirvelthangaraju / Driver-Drowsiness-Detection
In this repository you will find an efficient 'Real Time Driver Drowsiness Detection for an Intelligent Transportation System', that will work on various constraints like while wearing Eye Glasses, Mask etc.
Language:Python 3MohitPammu / Facial-Emotion-Detection
Real-time facial emotion detection using optimized CNN architecture achieving ~82% accuracy. Built with TensorFlow/Keras for production deployment with grayscale optimization and data augmentation techniques. Outperforms transfer learning models while maintaining edge-compatible efficiency.
Language:HTML 3- UPI-FRAUD-DETECTION-USING-MACHINE-LEARNING
Projects-Developer / UPI-FRAUD-DETECTION-USING-MACHINE-LEARNING
The Unified Payments Interface (UPI) has revolutionized the way people make payments in India. However, with the increasing adoption of UPI, there has been a rise in fraudulent transactions. To combat this, a UPI fraud detection system Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
VisionExpo / solar-panel-fault-detection
Solar Panel Fault Detection Using Deep Learning: A Computer Vision Approach This project presents an automated system for detecting and classifying faults in solar panels using state-of-the-art deep learning and computer vision techniques. Leveraging an EfficientNetB0-based architecture, the model accurately identifies six categories of faults: bi
Language:PureBasic 3AaravSachdeva / FaceRcognitionAttendanceSystem
Automated attendance system using face recognition, built with Python, OpenCV, and Tkinter. Captures, trains, and tracks attendance seamlessly with real-time updates and CSV integration.
Language:Python 2A real-time facial measurement tool that uses MediaPipe and linear regression to assist customers in selecting appropriately sized glasses when ordering online. It detects facial landmarks via webcam, estimates the distance from the camera, dynamically overlays glasses on the face, and displays measurements such as eye width and eye distance.
Language:Python 2Multi-Class-DDoS-Detection / Multi-Class-DDoS-Detection-using-LSTM-Autoencoder
This project focuses on developing and deploying a robust system for detecting and classifying Multi-Class Distributed Denial of Service (DDoS) attacks.
Language:Jupyter Notebook 2- Stray-Care
Pulkit1822 / Stray-Care
A comprehensive IoT-based solution to detect stray animals on roadways and alert drivers in real-time. Built with Flask backend, React frontend, and Raspberry Pi-powered hardware components including sensors and cameras. Features include real-time detection, GPS tracking, and an interactive dashboard for monitoring alerts.
Language:Python 2
