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Designing an AI-Powered Safety System for Industrial Protection
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| dc.contributor.author | Raid Diaeddine, Boukhrissa | |
| dc.date.accessioned | 2025-05-27T08:09:26Z | |
| dc.date.available | 2025-05-27T08:09:26Z | |
| dc.date.issued | 2024-10-25 | |
| dc.identifier.issn | issn | |
| dc.identifier.uri | http://depot.umc.edu.dz/handle/123456789/14650 | |
| 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.language.iso | en | fr_FR |
| dc.publisher | Université Frères Mentouri - Constantine 1 | fr_FR |
| dc.title | Designing an AI-Powered Safety System for Industrial Protection | fr_FR |
| dc.type | Presentation | fr_FR |
