MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641008844 A) filed by G Sekar; Mr. K. Dinakaran; Mrs. N. Hemalatha; Mrs. R. Kowsalya; Mr. L. Sathish Kumar; Mr. S. Bhoopalan; Dr. B. Saritha; Mrs. M. Nivetha; and Mrs. S. Susikala, Kinathukadavu, Tamil Nadu, on Jan. 29, for 'intelligent helmet system for accident monitoring for two -wheeler riders.'

Inventor(s) include G Sekar; Mr. K. Dinakaran; Mrs. N. Hemalatha; Mrs. R. Kowsalya; Mr. L. Sathish Kumar; Mr. S. Bhoopalan; Dr. B. Saritha; Mrs. M. Nivetha; and Mrs. S. Susikala.

The application for the patent was published on Feb. 13, under issue no. 07/2026.

According to the abstract released by the Intellectual Property India: "The number of bike accidents is rising daily. Numerous people have suffered serious injuries and lost their lives as a result of bike accidents. Bike riders can reduce their risk of collisions by wearing helmets. The advantages of smart helmets include a decrease in the number of bike accidents. The primary cause of fatality in the majority of accidents is a lack of quick first aid and emergency medical assistance. One of the primary causes of this might be the ambulance's late arrival, with no one at the scene of the accident to provide information to the ambulance. The objective of this paper is to develop a smart helmet powered by Machine Learning (TinyML) that will ensure the safety of bikers. The helmet includes an ESP32 as a controller, Global System for Mobile communication (GSM) for sending SMS and making phone calls, Global Positioning System (GPS) for tracking, and acceleration sensors to detect accidents based on Machine Learning to detect the accident, the system calls the registered number with a message and the precise position, updated online to notify emergency rescue team such as ambulance, police as web server alert in order to save lives. Furthermore, if the user exceeds the average speed limit, the speed sensors will warn them. System checks rider wearing a helmet, riding more than two members and alcohol consumption, if any one of the above conditions occurs, bike will not start. From the result analysis, it has been found that the developed helmet can provide safety to the bikers by conveying accurate information on accident within minutes."

Disclaimer: Curated by HT Syndication.