This is a project with the aim to ensure safety compliance at construction-sites with the help of Computer Vision and DL technology.
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Updated
Jul 22, 2021 - Python
This is a project with the aim to ensure safety compliance at construction-sites with the help of Computer Vision and DL technology.
PPE masks detection and tracking😷
PPE Defragmentation Website for WSHA
PPE_detection module for detecting workers and PPE.
Real-time PPE safety equipment detection system using YOLO and computer vision for workplace safety monitoring
Detect Protective Equipment with AWS DeepLens and Amazon Rekognition.
Real-time PPE compliance detection. YOLOv11 fine-tuned on 10k+ annotated images, served via a Streamlit dashboard for image, video and live webcam inference.
Real-time PPE detection for construction sites using YOLOv8
AI-powered PPE compliance and restricted zone monitoring for construction sites. YOLOv8 object detection + DeepSORT tracking with automatic violation logging and snapshots.
An interactive simulator for U.S. Treasury yield curve deformations with PCA and bond impact analysis.
Code samples and step by step guide for detecting events using Amazon Rekognition PPE detection and send them to S/4HANA EHS using Events-to-Business Actions Architecture on SAP BTP.
End-to-end computer vision system for construction site PPE detection — identifies safety gear, flags violations, and ships a live Streamlit demo.
Event-level PPE compliance from video: YOLO, person tracking, temporal confirmation, incident log.
📈 Build and analyze arbitrage-free volatility surfaces with robust calibration and visualization tools for options pricing.
AI-powered PPE detection system with face recognition and Arduino-controlled access using stepper motor and LEDs.
Streamlit UI for YOLOv8 PPE safety detection with red-flag dashboard and cached outputs.
Raspberry Pi 기반 PPE(Helmet/Vest) 탐지 & 현장/Web/App 알림 시스템 (YOLOv8)
基于 YOLOv8 的安全帽佩戴合规检测系统:通过人员—安全帽空间关联判断个体是否佩戴,支持图片/视频/摄像头实时推理、违规统计告警与结果保存,并附数据集分析与人员级合规评估。
AI-powered PPE compliance for industrial sites: real-time YOLO26 detection, Gemma 4 vision inspection, and OSHA-grounded answers from a self-improving knowledge base. Bold hi-vis UI, served on Modal (vLLM GPU, scale-to-zero) with self-hosted Supabase + pgvector.
Hard hat detection on workers — fine-tuned YOLO11 + Streamlit demo for PPE safety compliance
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