September 19, 2025 – PathPulse AI is set to launch Pulse Scout, a platform that answers a simple question: What if citizens earned money from traffic safety instead of just paying fines? Consider the scale - governments in the US alone generate $430 billion annually from traffic-related costs, with citizen funding infrastructure through taxes and bearing 100% cost of violations when they occur.
PathPulse AI’s approach changes this dynamic entirely. Communities are set to use smartphone-based monitoring networks, turning mobile phones into distributed CCTV cameras, that will share revenue instead of just collecting fines.
“In any major city, you’ll spot smart traffic cameras perched on poles, promising safer streets. What you won't see is how little they actually cover, despite the smart traffic camera market being estimated to reach $127.77 billion by 2032,” said Umair Mukadam, CEO & Co-Founder of PathPulse AI.
Take Europe as an example. With 68,991 enforcement cameras across the continent, you'd expect comprehensive coverage. Yet these costly devices monitor barely 3% of the road network while detecting only 4-5 data types: number plate recognition, traffic management, parking, and speed enforcement.
The result?
120,000 people still die annually in road crashes.
2.4 million people suffer injuries current systems can't prevent.
Road traffic crashes cost the world over $2.2 trillion yearly.
“The current system is creating challenges for everyone,” Mukadam further explained. “Citizens fund these systems through taxes while also paying for violations. Meanwhile, governments are stuck with sky-high infrastructure costs that don’t actually make our streets safer. It feels less like protection and more like just another way to collect money. That's why we built PathPulse, to flip this whole thing around and make safety something communities profit from, not just pay for."
PathPulse AI’s Pulse Scout to transform traffic monitoring
PathPulse AI’s announcement of Pulse Scout marks a significant shift in traffic enforcement. With smartphones in everyone's pockets, the platform would enable residents to document violations in real-time using devices they already own, instead of waiting for officials to install multi-million dollar camera systems.
The Pulse Scout app would transform regular citizens into active safety monitors through a completely automated process. Users would simply download the app, point their phone camera toward the road, and Pulse Scout would handle everything else without manual effort. Instead of being passive targets for fines, people would earn revenue shares from detected violations.
This scope extends far beyond traditional enforcement. While conventional systems detect only 4-5 data types, Pulse Scout would capture 60+ data points, including illegal lane changes, littering detection, emissions violations, overspeeding, dangerous potholes, and broken traffic lights. When accidents happen, multiple users could provide emergency responders with precise location data in real-time that fixed cameras cannot match.
The numbers
Traditional camera networks struggle to monitor 3% of roads while detecting only 4-5 violation types, despite massive investments. Community-based systems can achieve 60-80% coverage with 60+ violation types using just 15% of the driving population.
Current enforcement systems monitor ~2 billion drivers worldwide, generating around $30 billion annually from their limited detection capabilities. With 15% adoption rate, crowdsourced systems like that by PathPulse AI could potentially generate $100-$144 billion globally.
The key difference lies in how revenue flows work. Traditional systems operate on a centralized model where all fines go to city budgets while residents cover infrastructure costs and penalties. Community-powered networks share revenue with the very people helping make streets safer, keeping them engaged long-term.
Technology meets community investment
This revenue-sharing model works because the underlying technology is different. Traditional government systems require millions upfront for camera installation, maintenance costs, and limited coverage expansion. PathPulse AI’s community networks use existing smartphones, eliminating government costs while delivering better monitoring.
The platform’s accessibility makes it viable, working even on budget devices as affordable as $75, running for extended periods without heating issues through its advanced AI optimization. The system requires no external GPUs or processing hardware, while GPS timestamping provides precise location data. The blockchain technology ensures the evidence can't be tampered with, making it legally reliable for enforcement purposes.
By eliminating these traditional infrastructure barriers, the financial dynamic completely flips. Instead of communities funding government systems that only take from them, people now monitor their streets and earn money doing it. Meanwhile, cities save millions on infrastructure costs while achieving better safety results.
This model works because everyone wins when interests align. Safety improvements directly benefit the people creating them, so participation stays high and results keep improving. The future of traffic enforcement isn't about bigger government budgets; it's about smarter community economics that reward participation rather than punish violations.
About PathPulse AI
PathPulse AI transforms every vehicle into a live data node using just a smartphone - creating a real-time, decentralized intelligence network for smarter cities.
Twitter (X) | Telegram | Medium | Instagram | Website
Media contact:
Ritika Khar