

ZeroOne designs next-generation AI-powered traffic cameras engineered for urban environments, highways, and large-scale intelligent transportation systems (ITS).
Unlike traditional surveillance systems, our cameras don’t just capture video — they understand it.
Powered by embedded Edge AI, every device operates as a fully independent processing unit, eliminating the need for centralized servers while delivering real-time insights directly at the source.
Our cameras process data on-device with ultra-low latency, enabling:
License Plate Recognition (ANPR) in real-time
Vehicle classification (type, make, color)
High-speed vehicle tracking across multiple lanes
Event detection for traffic violations and analytics
All data is generated, processed, and delivered directly from the camera — reducing bandwidth, infrastructure cost, and system complexity.
Modern edge-based ANPR systems can achieve over 98% accuracy and sub-second recognition speeds even in high-speed traffic environments, making them ideal for city-scale deployments.
We believe a camera should be a platform — not a black box.
That’s why ZeroOne provides a comprehensive and well-documented API ecosystem:
Whether you’re building a traffic management system, enforcement platform, or data analytics pipeline — ZeroOne cameras integrate seamlessly into your architecture.

ZeroOne cameras are optimized for:
With support for high-speed recognition (200+ km/h), multi-lane coverage, and all-weather performance, our systems are built to operate reliably in real-world traffic conditions.

Our systems transform raw video into structured, searchable, and actionable data.
This enables faster decisions, smarter infrastructure, and more efficient traffic management.
No external processing. No complex infrastructure.
Just deploy, connect, and start collecting intelligence.
ZeroOne — redefining how cities see, understand, and manage mobility.
