/ Smart Cities · Transport /
100% Plate Recognition Accuracy — Zero Human Assistance
100%
ANPR Accuracy
0%
Human Assistance Required
24/7
Uninterrupted Operation
/ the problem /
What wasn't working
Traditional parking and traffic management systems depend on human operators for day-to-day function:
- Barrier operation — guards or attendants required at entry/exit points
- Plate logging — manual entry of vehicle numbers is slow and error-prone
- Traffic routing — human decision-making creates bottlenecks at peak hours
- 24/7 coverage — night and weekend staffing is expensive or inconsistent
- Incident response — slow human reaction to violations, overstays, or unauthorized vehicles
/ the solution /
What Tensorbot built
Tensorbot built a computer vision system with ANPR (Automatic Number Plate Recognition) at the core — and a full traffic and parking management layer on top.
ANPR Core
- Camera-based plate recognition at entry and exit points — detected and verified within milliseconds
- High accuracy in variable lighting, weather, and vehicle speed conditions
- Multi-angle capture for difficult approach angles
Automated Access Control
- Barrier lift/lower triggered automatically on confirmed plate recognition — no attendant required
- Allowlisted vehicles, subscription holders, and restricted plates managed via the admin panel
Traffic Management Layer
- Real-time traffic flow monitoring at key decision points
- Lane occupancy detection and dynamic routing signals
- Peak-hour pattern analysis — data for operational planning
Management Dashboard
- Live camera feeds and plate logs in a single interface
- Overstay and unauthorized entry alerts
- Reporting: daily vehicle counts, peak times, utilization rates, violation logs
/ stack /
Technologies used
Computer VisionANPREdge AIAccess Control Automation
/ results /
What changed
100%
ANPR Accuracy
0%
Human Assistance Required
24/7
Uninterrupted Operation
- Full entry/exit sequence automated — no attendants at barriers
- Reliable enforcement around the clock, including overnight dead spots
- Operational data (counts, peaks, utilization) available for the first time
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