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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 |
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