Real-time PPE detection and tracking using YOLO v3 and deep_sort
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Updated
May 24, 2024 - Python
Real-time PPE detection and tracking using YOLO v3 and deep_sort
PPE_detection module for detecting workers and PPE.
Enhance workplace safety with real-time detection of Personal Protective Equipment using deep learning and the YOLO algorithm in the 'PPE Detection' project.
This is an earmuff detector that uses video streams from CCTV cameras in workplaces to detect whether or not a person in the video is wearing earmuffs.
An automatic surveillance system for PPE compliance detection using Streamlit
Detect Protective Equipment with AWS DeepLens and Amazon Rekognition.
To demonstrate an understanding of cloud applications and software development on AWS cloud platform. The tasks are to design and implement an application to analyze an image to detect Personal Protective Equipment (PPE) using AWS AI Services; AWS Rekognition.
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