Commercially robust computer vision, edge processing, ANPR, and GIS integration architecture built for enterprise mobility environments.
High-reliability edge and cloud processing framework designed to integrate with existing infrastructure.
Deep-learning vision models for vehicle counting, classification, spatial tracking, and event detection from RTSP/IP streams.
Supports standard ONVIF and RTSP video camera protocols to utilize existing municipal and facility camera investments.
Automated license plate recognition tuned for multi-lane vehicle capture and fast plate database querying.
Flexible deployment modes: edge processing nodes at gate barriers/junctions or central on-premise command servers.
RESTful APIs and webhooks for connecting with payment gateways, VMS platforms, barrier controllers, and municipal portals.
Geographic map visualization rendering camera pinpoints, parking lot occupancy layers, and live alert heatmaps.
Low-latency web-based command UI displaying camera streams, parking slot statuses, and traffic metrics.
Rule-based event trigger engine generating instant notifications for overstays, congestion, and violations.
Exportable PDF & CSV audit logs, revenue summaries, parking turnover trends, and traffic volume reports.
