Intellectual Property India Publishes Patent Application for Sensor Driven Intelligent Throttle Cut Off System For Accident Prevention In Smart Vehicles

MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641073907 A) filed by Binu K Mathew; Abhinav V. Pillai; Jiya Joy; Namita Francis; Er. Aparna Thampi; Er. Elizabeth Rajan; and Saintgits College Of Engineering on June 15, 2026, for Sensor Driven Intelligent Throttle Cut Off System For Accident Prevention In Smart Vehicles.

Inventors include Abhinav V. Pillai; Jiya Joy; Namita Francis; Er. Aparna Thampi; and Er. Elizabeth Rajan.

The application for the patent was published on June 26, 2026, under issue no. 26/2026.

Abstract: This system presents a Gear-Based Emergency Throttle Cut-Off System designed to improve vehicle safety by preventing unintended acceleration under critical conditions. Accidents often occur due to sudden throttle input caused by driver panic or misjudgment, especially in low-speed environments such as traffic and parking areas. The proposed system addresses this issue by integrating obstacle detection, gear-based acceleration monitoring, and an emergency manual cut-off mechanism. An ultrasonic sensor continuously measures the distance to obstacles, and when the distance falls below a safe limit, the system automatically reduces or cuts off the throttle to prevent collisions. The system also includes a manual emergency push button that allows the driver to instantly disable the throttle during critical situations. It monitors acceleration across different gears and detects abnormal RPM spikes, temporarily cutting off the throttle when unsafe conditions are identified. The entire system is implemented using an ESP32 microcontroller, ensuring fast and reliable real-time response. Additionally, a built-in web server enables real-time monitoring and data logging. Parameters such as speed, gear position, obstacle distance, and cut-off status are displayed and recorded. The system stores up to 50 data entries and automatically overwrites older records, allowing continuous performance analysis and supporting future improvements.

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