MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641081173 A) filed by Ramachandra College Of Engineering on July 01, 2026, for Deep Learning-Based Object Detection For Smart Surveillance.
Inventors include Ch Venkatesh; Dr. G Chamundeswari; K Rajendra; and K Kiran.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: A deep learning-based object detection system enhances smart surveillance and security management. Video and image data from cameras is continuously captm ed and processed in real time. Convolutional neural networks (CNNs) and other deep learning models detect and classify objects such as people, vehicles, and unattended items. The system identifies suspicious activities, intrusions, or anomalies automatically. Alerts and notifications are sent instantly to security personnel upon detection of predefined events. Integration with loT and cloud platforms enables centralized monitoring and scalable deployment. Historical data supports pattern analysis and predictive security insights. Object tracking across frames ensures accurate movement and behavior analysis. Privacy and data security measures protect sensitive surveillance information. Automated reporting and visualization dashboards provide actionable insights for operators. The system reduces manual monitoring effort and enhances situational awareness. Multi-camera integration allows wide-area coverage and real-time decision-making. Continuous model training improves detection accuracy over time. Energy-efficient processing enables 24/7 operation in large surveillance networks.
Disclaimer: Curated by HT Syndication.
