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Designing an AI-Powered Safety System for Industrial Protection

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dc.contributor.author Boukhrissa, Raid Diaeddine
dc.date.accessioned 2025-03-19T10:51:30Z
dc.date.available 2025-03-19T10:51:30Z
dc.date.issued 2024
dc.identifier.uri http://depot.umc.edu.dz/handle/123456789/14580
dc.description.abstract This study investigates the application of artificial intelligence (AI) in improving industrial safety through computer vision for motion detection, integrated with a Programmable Logic Controller (PLC) system for real-time responses. The primary aim is to design a system that captures and analyzes live video using computer vision algorithms programmed in Python, which subsequently sends safety alerts to the PLC based on the analysis results. By integrating AI-based image analysis with industrial communication protocols, such as Modbus or Ethernet, this system offers a secure and responsive safety solution tailored to industrial environments. fr_FR
dc.title Designing an AI-Powered Safety System for Industrial Protection fr_FR
dc.type Presentation fr_FR


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