MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641049973 A) filed by Hindusthan College Of Engineering And Technology on April 20, 2026, for Smart Vehicular Safety Architecture Using Behavioral Ai And Zone-Aware Rf Communication.
Inventor includes Hindusthan College Of Engineering And Technology.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: !.ABSTRACT Road accidents are not always caused by brake failure or bad roads. A lot of the time, the problem is simpler and harder to fix -a driver who did not sleep enough, a headlight that was not bright enough, a speed limit stgn that was missed. These are the kinds of failures this project tries to address. The system built here is called the Context-Aware Intelligent Vehicle Safety Framework. It does not do one thing. It does four things at once, and those four things cover the situations where drivers are most likely to make the mistakes that end badly. The drowsiness detection part uses a webcam to watch the driver's eyes while the vehicle is moving. Once the eyelids begin dropping at irregular intervals or the eyes remain shut beyond a normal blink, an alert sequence kicks in - buzzer, seat vibration, and a spoken prompt reminding the driver to pull over or rest. Three separate channels are used because any single alert on its own can be tuned out by someone who is already half asleep. The headlight module removes the .need for the driver to. manually switch between low and high beam. A sensor reads the light level outside the vehicle and the system adjusts brightness and beam angle on its own. People rarely realise how much a misaligned or poorly timed headlight contributes to near-misses at night -this module takes that variable out of the driver's hands entirely. Handling speed in areas like school zones and hospitals is where the RF module comes in. Transmitters at zone entry points broadcast the applicable limit, and once the vehicle enters that range, the onboard receiver reads it and the engine is constrained accordingly- no input needed from whoever is driving. The system handles it. A warning reaches the driver early, well before the readings climb to a point where physical symptoms would start to show. What makes this a framework rather than just four separate features is that these modules are connected. They share data and respond to each other. The whole system runs on the vehicle hardware with no internet connection needed, which means it works in places where a network-dependent solution would not.
Disclaimer: Curated by HT Syndication.
