MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048328 A) filed by Christeeno Telfin; Ms. Jasmine Jolly; Jeff Joseph; Ann Rose; Ananya Biju; and Alent Antony, Irinjalakuda, Kerala, on April 16, for 'guardian wing: collaborative fleet intelligence system.'
Inventor(s) include Christeeno Telfin; Ms. Jasmine Jolly; Jeff Joseph; Ann Rose; Ananya Biju; and Alent Antony.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The Guardian Wing system represents a proactive and intelligent innovation in the field of urban safety and infrastructure diagnostics. The system leverages a decentralized mobile sensor network integrated into delivery or service fleet operations to continuously monitor traffic environments and identify systemic roadway hazards. By utilizing mobile sensing platforms instead of fixed surveillance infrastructure, Guardian Wing enables large-scale urban monitoring while reducing deployment costs and operational limitations associated with traditional traffic monitoring systems. Edge-based artificial intelligence processing ensures real-time functionality even in complex road environments characterized by high traffic density and irregular driving behavior. The Guardian Wing system incorporates helmet-mounted camera modules and GPS sensors to perform continuous roadway observation and spatial data collection. The captured visual data is processed using edge-based computer vision models for object detection and traffic pattern analysis, while optical character recognition techniques assist in vehicle identification when anomalies are detected. These models are optimized to run on lightweight edge computing platforms such as the Raspberry Pi, enabling efficient processing with minimal latency. To address strict data privacy requirements, the system utilizes a transient memory "Hash-and-Delete" pipeline that converts license plate identifiers into irreversible cryptographic hashes before removing raw visual data from memory. The resulting anonymized intelligence is aggregated to generate a Relative Risk Index (RRI), identifying statistically significant high-risk zones within urban road networks. The Guardian Wing system provides a scalable and cost-efficient alternative to conventional monitoring systems while demonstrating the practical application of artificial intelligence, edge computing, and IoT technologies in improving roadway safety and infrastructure planning."
Disclaimer: Curated by HT Syndication.
