'Brilliant' Bengaluru techie uses AI helmet to record traffic violators, send proof to police

The Bengaluru-based software developer has, meanwhile, clarified that he built the system purely for fun, adding that he enjoys creating 'weird, fun weekend projects'. (Image credit: Pankaj Tanwar/X)

• Pankaj Tanwar’s device uses a dashcam integrated into the helmet and a locally running AI model that classifies rule-breaking behaviour. Once detected, the system autonomously generates an email with evidence attached.

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A Bengaluru-based software developer has gone viral for creating an AI‑enabled helmet that records traffic violations in real time and automatically forwards proof to the police, in what social media users have described as a “peak Bengaluru innovation”. The developer, Pankaj Tanwar, shared the experiment on X, saying he was frustrated with reckless driving on city roads.

In his post, Tanwar wrote that he was tired of "stupid people on road" so he “hacked” his helmet into a traffic‑police-style device that runs an AI agent while he rides.

The system identifies violations, captures the number plate, and sends photographic proof with time, date, and location directly to traffic police email IDs. A demonstration showed a helmetless scooter rider being instantly flagged and reported.

Tanwar’s device uses a dashcam integrated into the helmet and a locally running AI model that classifies rule-breaking behaviour. Once detected, the system autonomously generates an email with evidence attached — with no manual intervention.

i was tired of stupid people on road so i hacked my helmet into a traffic police device

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while i ride, ai agent runs in near real time, flags violations, and proof with location & no plate goes straight to police. blr people - so now ride safe… or regret it. pic.twitter.com/lWaRO01Jaq — Pankaj (@the2ndfloorguy) January 3, 2026

Social media users praise idea, debates privacy

The post amassed over eight lakh views, with users split between praise and concerns about surveillance. Several commenters admired the engineering, with one calling it “some cool peak Bengaluru tech". Tanwar's post also received a reaction from actor Kunal Kapoor. "Brilliant! Want one, even though i drive," he commented.

Meanwhile, others expressed hesitation about the implications of civilians deploying automated monitoring tools.

Suggestions also poured in for scaling the idea: connecting dashcams to the cloud, offering incentives such as a 10 percent share of challan amounts for citizen‑submitted evidence, and integrating the tool with platforms like mParivahan for faster challan generation. Some offered technical advice involving SDR modules and Raspberry Pi expansions.

Entrepreneurs, investors offer support

Beyond praise, several developers, founders, and investors reached out to Tanwar, offering help to scale the innovation into a hardware product and deploy it across large camera networks. Messages included: “If you want to build this out as a product, hit me up” and “DM me if you want to deploy this across hundreds of thousands of cameras.”

Tanwar, meanwhile, clarified that he built the system purely for fun, adding that he enjoys creating “weird, fun weekend projects”, ranging from Raspberry Pi hardware hacks to full‑stack apps and AI/ML experiments.