MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202631032105 A) filed by Narula Institute Of Technology, Kolkata, West Bengal, on March 17, for 'a discrete-time ai-driven system for automated traffic compliance and enforcement utilizing holling type-iv functional response and yolov3 detection grid.'
Inventor(s) include Dr. Puja Supakar; Debopriya Dey; Dr. Shilpi Pal; and Arkaprava Jana.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "A discrete-time mathematical modeling framework is provided for analyzing traffic growth and enforcement interactions under physiological constraints. The invention integrates logistic growth dynamics with a zig-zag CCTV grid to implement an Allee-type monitoring mechanism at low densities. Nonlinear suppression is achieved through a YOLOv3-driven AI engine, employing a Holling Type-IV functional response to model enforcement saturation and exhaustion. Controlled harvesting mechanisms, representing automated fines, facilitate the removal of non-compliant vehicles similarly to legal immunotherapy. The system allows for the quantitative evaluation of violation extinction thresholds and the optimization of traffic management strategies through a modified Leslie-Gower formulation."
Disclaimer: Curated by HT Syndication.
