One analytics layer for city-wide CCTV: crowd and flow monitoring at squares and transit hubs, vehicle and incident detection on corridors, and district-level event management in a single platform.
Density monitoring for squares, stations and events with threshold alerts for overcrowding.
Corridor-level vehicle detection, counting and stopped-vehicle alerts for traffic rooms.
Intrusion, loitering, abandoned-object style alerts and fire & smoke detection citywide from one rule set.
A central AI server aggregates events from district edge boxes with event history search across the city.
Events exposed via HTTP/MQTT/API to city command platforms, GIS and dashboards.
All video and analytics stay on municipal infrastructure — no cloud dependency.
Start with edge AI boxes on selected intersections and squares, then add rackmount AI servers per district — the platform cascades sites into one event search and management view.
It runs alongside existing city VMS platforms via ONVIF/RTSP ingestion and exposes events through standard APIs, so no VMS replacement is needed.
ADHOOPU smart city video analytics combines crowd detection, people counting, vehicle detection and citywide incident alerts on existing cameras — aggregated into one multi-site management platform, fully on-premise.
Professional AV manufacturer — Integrated AV Platforms, Distributed AV over IP, and AI Edge Computing & Video Analytics. OEM/ODM for system integrators, distributors and AV brands worldwide.
19 years of AV engineering · Shenzhen, China · 3-year warranty