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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.
Distributed application includes features like short-term forecasts, long-term weather patterns, and real-time alerts for severe weather conditions. the app use Kafka for handling live data streams. Moreover, Python pipeline is employed to process the weather information and store it in a Mongodb database
Professional uptime monitoring system for websites and services with custom status pages🚀 | 🚀 سیستم مانیتورینگ حرفه ای آپتایم برای وبسایت و سرویسها صفحات وضعیت سفارشی، هشدارهای آنی و گزارشهای دقیق
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.
A real-time notification system that monitors the Florida Highway Patrol incident database statewide. It sends alerts with location, remarks, and report time, logs all CAD calls, and provides follow-up updates showing previous incident details. The system standardizes location data and generates Google Maps links. Not affiliated with FHP.
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.
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
app which monitores the api endpoints for you , if the service goes down then notifies you and also provides analytics for DNS ,TCP ,TLS Handshake Times and etc.
Alert Text Detector is an NLP-based model that detects alert messages from social media posts. It is built using BERTweet Base and trained on a dataset of 23,000 tweets (alert & non-alert). The model flags emergency-related messages and classifies tweets based on textual content.