⛑️⚒️ Custom object detection for PPE Detection of Construction Site Workers. This repo contains notebook for PPE Detection using YoloV8.
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Updated
Aug 18, 2024
⛑️⚒️ Custom object detection for PPE Detection of Construction Site Workers. This repo contains notebook for PPE Detection using YoloV8.
Prototype for Baby Action Detection and Classification
Official repository for the paper "ALERT: A Comprehensive Benchmark for Assessing Large Language Models’ Safety through Red Teaming"
A simple, small in size and portable keylogger for Windows XP/Vista/7/8/10/11 that doesn't require .NET Framework.
It's a cutting-edge object detection model, to enhance safety measures by identifying and classifying objects related to personal protective equipment
🚧 🚔 ⚠ Toolbox to compute Criticality Measures for Automated Vehicles
The Safety Explorer Suite is a central location for custom charts related to safety monitoring
Line Chart highlighting abnormal lab measures, vital signs and other measures related to safety in clinical trials.
Minor Project - Abusive Comment Recognition and Deletion in Live Chat
[2024 TNNLS] Source code of an online active learning strategy (DSA-AI)
This project focuses on enhancing construction site safety through real-time detection of safety gear such as helmets and vests worn by workers, as well as detecting the presence of a person.
An AI solution that uses advanced computer vision and sound detection algorithms to detect potential dangers from real-time video and audio streams.
This tutorial can be used to detect the distance from the web-cam to the human face using OpenCV and a TensorFlow trained model for face detection.
DitroniX LMIC Linear Motor Actuator IoT Controller ESP8266 L6205 Solar Tracker Safety Lockout
A comprehensive SSM library providing surrogate safety measures in self-driving safety analyze.
ASCOM Alpaca compatible safety monitor
This repository is part of EU-funded Research Project (XANDAR)
This Python script provides a sophisticated botnet detection system that leverages signature-based detection, machine learning algorithms, behavioral analysis, and traffic profiling to identify potential botnet activity in real-time. It also includes advanced alerting capabilities and integration with IP reputation services and SIEM for DETECTION!
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