MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641122873 A) filed by Jayaraju Gaddala on October 14, 2026, for Explainable Ai System For Automated Traffic Violation Detection Using Raspberry Pi 5.
Inventors include Dr. Bhagya Lakshmi Nandipati; Dr. Sunitha Kandepu; Dr. G. Joel Sunny Deol; Dr. Annareddy Maheswara Reddy; Ramya Asalatha Busi; Mr. Ahamad Sharif Shaik; Dr. G. Jaya Raju; and Andluru Aparna.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: ABSTRACT OF THE INVENTION EXPLAINABLE AI SYSTEM FOR AUTOMATED TRAFFIC VIOLATION DETECTION USING RASPBERRY PI 5 An explainable traffic violation detection system (100) runs on a Raspberry Pi 5 processing unit (106) installed near a traffic camera (102). Frames received through a camera interface (104) are preprocessed by a preprocessing module (108) and passed to an object detection module (110), which outputs the class, bounding box and confidence value of vehicles, road users, traffic signals and road markings. A violation analysis unit (112) compares object positions, signal states and movement across successive frames with configured traffic rules (122) and assigns a violation category and confidence value when a rule condition is met. An explainability unit (114) generates an overlay showing the image evidence for each result, including the vehicle bounding box, stop line and signal state. A display interface (116) presents the frame with the category, confidence value, timestamp and overlay, and a local storage unit (118) keeps event records for later review. Figure
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