Safety incidents are rarely caused by missing cameras. They are caused by nobody watching them. ADHOOPU adds industrial safety AI and smart security analytics to the cameras you already have — PPE compliance, fire and smoke, intrusion, behaviour risk — with alarms delivered while the incident is still preventable.
SMART SECURITY VIDEO ANALYTICS · INDUSTRIAL SAFETY AI · AI SURVEILLANCE FOR FACTORY · AI VIDEO ANALYTICS FOR INDUSTRIAL PARK · HAZARDOUS CHEMICAL SAFETY MONITORING · PUBLIC SAFETY AI VIDEO ANALYTICS · SMART CITY SECURITY ANALYTICS · AI VIDEO ANALYTICS FOR EXISTING CCTV
Industrial sites and large campuses carry a specific risk profile: hazardous processes, contractor labour, vehicle movement, and large perimeter boundaries — all covered by cameras that produce recordings nobody reviews until after an incident. Meanwhile safety regulations require demonstrable supervision, and insurance and audit processes demand evidence that controls were in place.
Helmets, reflective vests, workwear and safety belts are required in defined zones — but supervision is periodic and manual. Non-compliance is usually discovered after an incident, not before it.
Traditional point detectors have limited coverage in large open industrial spaces. Video-based flame and smoke detection extends coverage without additional sensor infrastructure.
Fenced perimeters, storage yards and remote assets cannot be patrolled continuously. Intrusion, wall climbing and loitering go unobserved, particularly at night.
Sleeping on duty, smoking in prohibited zones, phone use in operating areas — all common incident precursors, all invisible to a conventional CCTV system.
Legacy motion detection triggers on insects, rain, light changes and animals. Operators learn to ignore alarms, which defeats the purpose of having them.
Proving that supervision controls existed and operated requires structured records, not a drive full of unindexed video.
The upgrade is additive. Existing cameras stay in place; an analytics layer reads their streams and produces events, alarms and structured records.
QG-615AI16 edge AI box at each site analyses up to 16 camera streams locally. Only events travel the network — critical where sites are remote, bandwidth-constrained or without reliable connectivity.
Servidor de cómputo IA (96 / 128 / 352 channels) centralises analytics for large plants, multi-site groups and industrial parks, with optional large-model re-checking to suppress false alarms.
The Plataforma de inteligencia de video IA manages devices, algorithms and alarms, produces statistical reporting for compliance, and integrates with existing VMS and safety systems.
The algorithm set is the same library used across all ADHOOPU AI deployments — 50+ algorithms with more than 10 running concurrently per camera.
Alarms arrive while the incident is still preventable — a worker without a helmet, smoke in a storage area, an intruder at the fence.
Structured alarm records, trend reporting and retained event video provide evidence that supervision controls were in place and operating.
The cameras, NVR and cabling stay. Only the intelligence layer is added, so the project fits within an operating budget rather than a capital replacement.
Automated detection covers perimeter and compliance zones continuously, allowing security resources to be directed at events rather than screens.
16 channels of local AI analytics per box, ideal for single plants, gas stations, construction sites and remote assets. Fanless and low-power for cabinet installation.
96 / 128 / 352 channel centralised analysis for large plants, industrial parks and multi-site groups, with large-model re-checking to control false alarms.
Where new camera positions are required, ADHOOPU AI PTZ and bullet cameras extend coverage into gaps the existing estate cannot see.
The analytics layer is designed to feed the systems that already exist on site rather than creating a new silo.
Alarms and structured metadata delivered over HTTP, MQTT, WebSocket or REST API. Re-encoded AI video streams can be published alongside original video.
Event outputs can drive access control, alarm sounders, gate interlocks or building management systems through the same API layer.
Edge boxes at each site report to a central platform, giving a single alarm console and consistent algorithm configuration across the group.
Tell us your site type, camera count and the safety behaviours you need to monitor. We reply within 24 hours with a recommended architecture and channel count. Full technical documentation is released to qualified partners after an introductory call.
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