Fast Real-time Object Detection with High-Res Output https://x.com/_akhaliq/status/1840213012818329826 https://x.com/githubprojects/status/1891370506537910724 https://www.threads.net/@githubprojects/post/DGKdoE4zdUX

🚗🚦 Introducing our Smart Adaptive Traffic Management System! 📷🧠 Using YOLO v8 object detection & CCTV cameras, we analyze real-time traffic. By tracking vehicles 🚙 & pedestrians 🚶, we enhance signal timings for better flow, safety, & reduced congestion. Drive smarter with us! 🌐🏞️

Real-time monitoring, object tracking, and line-crossing detection for CCTV camera streams.

Yolo TensorFlow OpenCV CCTV monitoring and alerting system based on object detection

Construction of a lumbar weapon detection system through CCTV cameras with the help of artificial intelligence neural network (YOLO_v5), which has been trained by the private dataset of Pashtaw.

This project introduces an automated system designed to identify motorcyclists who are not wearing helmets and to extract motorcycle number plates from CCTV video recordings. The system utilizes the YOLO V5 algorithm for classifying and detecting objects, while EasyOCR is employed to extract the numerical content from the number plates.

Detects firearms in real-time from CCTV videos, highlighting them within bounding boxes for immediate attention

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This project can provide Face detection and Motion detection using Haar Cascade Algorithm ,which can provide greater security in field of burglar alarming system. Also given the current scenario of COVID-19 pandemic , it is at utmost necessity to maintain social distance from people to reduce the spread of COVID-19 , hence this project also provide Social Distance Violation Detection using YOLO coco Object Detection to measure distance between pixels in a given frame, which can be easily implemented in a CCTV system and place it in Domestic and Workplace Environment to monitor and ensure that proper social distancing is maintained.

This is a yolo and yolo tiny evaluation (calculating precision-recall graph and mAP) on a simple road cctv footage dataset.

Object Detection - CCTV , DL(Yolo v3 & SRGAN & 3D Face Reconstruction)

A real-time AI-powered intrusion and theft detection system using YOLOv5 and OpenCV. Features ROI-based tracking, centroid-ID assignment, alarm activation, image logging, and automated email/SMS alerts with annotated MP4 video export for smart surveillance applications.

A ghetto CCTV system built around YOLO (or maybe some other NN probably)

It is an AI based weapon and intruder detection system using cctv camera on live footage built in Django and Yolo model.

AI-powered CCTV Monitoring System with real-time video streaming, object detection using YOLO, WebSocket alerts, and scalable backend using Django and Media-MTX.

RailNetra is an AI-powered mobile app transforming Indian Railways through real-time crowd analysis, crime detection, cleanliness monitoring, and work tracking. Built with Flutter, Firebase, and Python, it leverages deep learning (YOLO, LSTM, TensorFlow) to deliver intelligent surveillance and operational efficiency via a smart CCTV network.

This project implements a real-time anomaly detection system using unsupervised machine learning models and AI-driven solutions. It integrates components such as data ingestion from Kafka, model training, anomaly detection, real-time alerting, object detection in CCTV footage using YOLO, and deployment to AWS Lambda or Google Cloud.

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An AI-powered CCTV surveillance system for real-time detection of PPE compliance, including helmet and mask violations, using YOLO and computer vision.

YOLO-based CCTV object detection for accidents, cars, flood, large cars, persons, and more. Includes Colab and local inference scripts, pretrained weights, and evaluation results. Check model and weights for your specific use case.

Yolo based Safety Equipment Detection System on Entrance CCTV

Synthetic CCTV images for weapon detection. Realistic images from security surveillance cameras, generated via Simuletic. YOLO annotations for 'person' and 'weapon'. Intended for CV training.

Object Detection (Run, Walk, Squat, Sit, Security) With YOLO 8 Version

CCTV RTSP Watchman with YOLO

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This project provides a real-time object detection system using YOLO (You Only Look Once) models and BetterCam for efficient video stream capture. It supports any YOLO version, allowing flexibility for various detection needs.

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Smart CCTV system with YOLOv8 for person detection, ArcFace embeddings for face recognition, and SQLite database logging. Real-time computer vision + deep learning pipeline for intelligent surveillance.

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