Rate the Article: Yolo Technical Architecture for Real Time Monitoring, IJSR, Call for Papers, Online Journal
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 3 | Views: 218 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper | Computer Science and Information Technology | India | Volume 13 Issue 11, November 2024 | Rating: 4.8 / 10


Yolo Technical Architecture for Real Time Monitoring

Mudasir Ashraf


Abstract: In modern engineering, using real-time monitoring systems is crucial for improving technical performance and maintaining project integrity. The Yolo Technical Architecture uses new algorithms and advanced sensor networks to collect and analyze data right away. With this setup, engineers can find problems and address them early, which boosts operational efficiency. Moreover, the system can be adjusted for many uses, from big industrial operations to smaller projects, showing its wide-ranging applicability in engineering. As industries move toward data-based approaches, building strong architectures for real-time monitoring is very important. Yolo's focus on user-friendly design and instant feedback systems gives stakeholders quick access to key information. This helps in making better decisions, which in turn enhances safety standards and resource management in engineering tasks. In summary, the Yolo Technical Architecture marks an important step forward in monitoring technology by combining engineering principles with advanced data analytics. Its use has the potential to change how engineers manage complex systems, pushing toward a future where predictive insights help reduce risks and improve performance. Therefore, examining this architecture adds value to academic discussions and has real-world benefits for various sectors needing real-time operational management.


Keywords: Yolo, Architecture, Computer vision, Artificial Intelligence, Deep Learning


Edition: Volume 13 Issue 11, November 2024,


Pages: 218 - 224



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