MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641069998 A) filed by Hindusthan College Of Engineering And Technology on June 04, 2026, for Hybrid Deep Learning And Iot Framework For Intelligent Road Safety Systems.
Inventors include Dr. T. Dharanika; C. Mahesh; M. Mohammed Rasheed; R. Palani; and S. Haja Mohiadeen Wasif.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: This patent presents an integrated road accident detection and emergency alert system ·engineered around an ESP32-CAM microcontroller, multiple safety sensors, and loT cloud communication infrastructure. The design employs a four-layer architecture that moves from raw environmental sensing through intelligent verification to confirmed emergency dispatch. At the foundation, a sensor layer combining an accelerometer, a vibration sensor, and an alcohol detector continuously monitors the vehicle's motion dynamics, collision impact forces, and the driver's sobriety status. The ESP32-CAM microcontroller evaluates sensor readings against calibrated thresholds and raises preliminary triggers when abnormal conditions are identified. When a potential collision is recognised, the onboard camera captures a real-time photograph of the scene for visual verification and evidentiary documentation. A confirmation-based false alarm prevention mechanism provides the driver with a brief window to cancel the alert-if the driver presses a safety button within ten seconds, the system stands down and returns to monitoring. If no response is received within the confirmation period, the system classifies the event as a genuine accident and dispatches emergency notifications through multiple channels simultaneously: SMS messages carrying GPS coordinates are sent to police, hospitals, and family members, while a live status update is pushed to a ThingS peak JoT cloud dashboard for centralised monitoring. In controlled testing, the system demonstrated reliable collision detection with acceleration thresholds above 3.5g, alcohol detection response times under 2 seconds, SMS delivery within 3-5 seconds of confirmation, and cloud synchronisation within 1-2 seconds-all constructed from commercially available off-the-shelf components at a hardware cost of approximately lNR 4,380 per unit, making widespread deployment across vehicle fleets financially viable.
Disclaimer: Curated by HT Syndication.
