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.

YOLOv8-Dog-Couch-RealTimeDetection is a specialized computer vision system built on the YOLOv8 model. It's designed to detect in real-time when a dog climbs onto a couch and subsequently triggers an alert. Ideal for pet owners seeking to train their pets or maintain their furniture. Open for adaptation to other object detection scenarios.

基于AI的智能大数据预警系统

The Vehicle Crash Detector Project is a Real-time Vehicle Crash Detection and Alert System based CCTV footage and TensorFlow. Swiftly alerts hospitals, police, and RTO. Contributing to Safer Roads and Saving Lives.

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.

vehicleDistanceMonitor is a Python based Project that uses YOLOv4-tiny object detection model to detect vehicles on the road and alert the driver if they are too close. The system can be used in real time videos from camera. For simulation purpose pre-recorded videos are used. It is designed to be used in self-driving cars or other applications

This repository contains the source code for a Flask server designed to receive alerts from TradingView and forward them to a specified Telegram chat. The server is capable of handling both JSON and plain text data, making it flexible for various types of alerts.

Creating a driver drowsiness detection project using the Haar -Cascade algorithm can be a valuable contribution to the open-source community

Docker‑Compose üzerinde Apache Airflow + Spark ETL hattı: OpenWeather - PostgreSQL.

Version-0 >> A Python-based network monitoring tool that logs traffic, detects spikes or high usage, stores data in MySQL, and sends email alerts when thresholds are exceeded.

A real-time driver fatigue detection system using computer vision. This project monitors eye movements to detect drowsiness and alerts the driver with a visual and audible warning when fatigue is detected. Built with OpenCV, dlib, and Python, it's designed for enhancing driver safety.

Code for the 2023 Big Data Technologies course project work.

𝐷𝑟𝑖𝑣𝑒𝑟𝐴𝑙𝑒𝑟𝑡𝑆𝑦𝑠𝑡𝑒𝑚 𝑖𝑠 𝑎𝑛 𝑎𝑑𝑣𝑎𝑛𝑐𝑒𝑑 𝑠𝑎𝑓𝑒𝑡𝑦 𝑠𝑜𝑙𝑢𝑡𝑖𝑜𝑛 𝑑𝑒𝑠𝑖𝑔𝑛𝑒𝑑 𝑡𝑜 𝑚𝑜𝑛𝑖𝑡𝑜𝑟 𝑑𝑟𝑖𝑣𝑒𝑟 𝑏𝑒ℎ𝑎𝑣𝑖𝑜𝑟 𝑎𝑛𝑑 𝑑𝑒𝑡𝑒𝑐𝑡 𝑠𝑖𝑔𝑛𝑠 𝑜𝑓 𝑑𝑟𝑜𝑤𝑠𝑖𝑛𝑒𝑠𝑠 𝑜𝑟 𝑑𝑖𝑠𝑡𝑟𝑎𝑐𝑡𝑖𝑜𝑛. 𝐼𝑡 𝑢𝑠𝑒𝑠 𝐶𝑉 𝑎𝑛𝑑 𝐴𝐼 𝑎𝑙𝑔𝑜𝑟𝑖𝑡ℎ𝑚𝑠 𝑡𝑜 𝑝𝑟𝑜𝑣𝑖𝑑𝑒 𝑡𝑖𝑚𝑒𝑙𝑦 𝑎𝑙𝑒𝑟𝑡𝑠