No Whistles, No Fines, Just AI: Bengaluru Engineer’s Helmet Takes on Traffic Chaos!
On Bengaluru’s roads, chaos is almost routine. Red lights are jumped with casual confidence, wrong-side driving feels normalized, and helmetless riders zip past traffic police with alarming ease. For most commuters, frustration ends in honking, muttering, or social media rants. For 27-year-old software engineer Pankaj Tanwar, it became the starting point of an idea powered not by anger, but by artificial intelligence. Instead of confronting reckless drivers, Tanwar decided to let technology do the talking. His innovation: an AI-enabled helmet camera that detects traffic violations in real time and automatically reports them to the traffic police, complete with evidence. No shouting, no chasing, just data, proof, and accountability.From Daily Irritation to Digital ActionOriginally from Rajasthan, Tanwar moved to Bengaluru for work and now lives in Kadubeesanahalli, an area infamous for traffic congestion. Like countless others, he witnessed violations every single day. But unlike most, he reached a breaking point that led to action.“I kept seeing violations around me. Arguing with drivers was pointless,” he said. “So I looked for a technological solution.” That mindset reflects a deeper truth about India’s urban crisis. Enforcement gaps often exist not because rules don’t exist, but because monitoring is limited. Tanwar’s helmet was born from this exact gap: how to scale enforcement without deploying thousands of expensive CCTV cameras or overburdening traffic police.How the AI Helmet Actually WorksAt first glance, the setup looks deceptively simple. A Logitech webcam is mounted on Tanwar’s helmet, connected to a Raspberry Pi, a compact yet powerful computer. As he rides, the camera continuously captures video footage of the road. Behind the scenes, the system does something remarkable. Each video frame is analyzed in real time using AI models trained to detect four common traffic violations: riding without a helmet, jumping road dividers, running red lights, and driving on the wrong side. This is not raw automation firing blindly. Tanwar has built in a robust verification mechanism to prevent false reporting, a concern often raised with AI surveillance.Double Verification to Avoid False AccusationsTo ensure accuracy, detected violations are cross-checked using multiple AI models, including OpenAI’s GPT and Google’s Gemini. The system analyzes frames over a five-second window, assessing patterns rather than single moments. Only when the confidence score exceeds 96 percent does the system consider the violation valid. This layered verification dramatically reduces false positives and ensures that only clear, consistent violations are flagged. Once verified, the system automatically compiles evidence: still images, short video clips, the vehicle’s number plate, and GPS coordinates. This information is emailed directly to the traffic police, who can then issue a challan without any further involvement from Tanwar. In effect, the helmet acts as a silent, neutral traffic witness.Low Cost, High Impact InnovationOne of the most striking aspects of Tanwar’s project is its affordability. Built largely from spare parts, the prototype cost him under Rs 4,000. With mass production and optimization, he estimates the cost could fall to around Rs 2,000 per unit. Powered by a simple power bank, the device runs for six to seven hours, making it practical for daily commuting. More importantly, the system is not limited to two-wheelers. It can be adapted for cars, taxis, delivery vehicles, and trucks, opening the door to large-scale adoption.AI for Good: Turning Everyday Commuters into Agents of Road SafetyIn this innovation, artificial intelligence is used not as a tool for control or punishment, but as a force for public good and civic responsibility. By combining real-time video analysis, multi-model AI verification, and automated reporting, AI helps bridge the gap between traffic laws and their enforcement. It removes human bias, emotional confrontation, and selective monitoring, ensuring that only genuine, high-confidence violations are reported with solid evidence. Instead of relying on costly infrastructure or constant police presence, this AI-driven system empowers ordinary citizens to contribute to safer roads in a lawful, transparent way. Here, AI becomes a silent guardian promoting discipline, protecting lives, and proving that technology, when designed with intent and ethics, can directly improve everyday urban life.One Helmet, Many PossibilitiesPankaj Tanwar’s AI helmet is more than a viral experiment. It is proof that meaningful innovation does not always come from big labs or government tenders. Sometimes, it comes from a frustrated commuter who chooses to code instead of complain. On Bengaluru’s chaotic roads, one helmet is quietly reminding us that discipline does not always need authority sometimes, it just needs intelligence.