Skylark Labs deployed ANPR-based traffic and security systems at a major IT park, automating vehicle tracking, parking management, and access control at scale using Sentinel AI Cameras and the Kepler platform.
A high-density IT campus with thousands of daily vehicle entries faced compounding traffic and security issues. Unmanaged junction flows caused daily bottlenecks and frequent rule violations. Peak-hour vehicle and pedestrian volumes overwhelmed manual monitoring capacity.
Manual ticketing slowed entry queues and left available parking spaces underutilized. Limited surveillance left blind spots that enabled theft and unauthorized entry. These challenges are common across modern smart campus environments that lack integrated AI-driven management.
"ANPR gives campus operators a single automated layer for traffic, parking, and access control -- replacing three separate manual workflows."
Camera arrays at every gate and junction read license plates in real time, feeding a central platform that manages flow, parking, and security simultaneously. Adaptive signal control and real-time incident detection smooth junction throughput through the Kepler platform.
Plate-based entry and exit eliminate manual ticketing and guide drivers to open spaces. Allowlist and blocklist enforcement at every gate flags unauthorized vehicles instantly. The Synapse AI Box processes video streams at the edge, enabling sub-second plate recognition even in challenging conditions.
Unified access control replaces three separate manual workflows with a single automated layer. Traffic management, parking allocation, and security screening all operate from the same plate-recognition backbone -- delivering campus-wide visibility from a single transportation management platform.
Junction delays dropped 70% with automated flow control. Manual parking interventions fell 60% while space occupancy rates improved. Theft incidents dropped 50% with continuous plate-level tracking, and automated toll and parking billing increased campus revenue by 30%.
The system is now being extended to additional campus facilities, demonstrating the scalability of AI-powered transportation management across urban environments.
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