A construction site changes every week — the safety rules should not depend on somebody walking the fence line. ADHOOPU applies construction site AI video analytics to the cameras already on site: helmet detection, PPE compliance, exclusion zones, fire and smoke, and after-hours intrusion, with alarms delivered while the incident is still preventable.
CONSTRUCTION SITE AI VIDEO ANALYTICS · HELMET DETECTION AI · PPE DETECTION AI · FIRE AND SMOKE DETECTION AI · INTRUSION DETECTION AI · FALL DETECTION AI · INDUSTRIAL SAFETY AI · ON-PREMISE AI VIDEO ANALYTICS
A construction site changes every week. Zones move, subcontractors rotate, and the safety rules that applied to yesterday's layout no longer match today's. Supervision by walking the site cannot keep up with that rate of change.
Helmets, high-visibility vests and harnesses are mandatory, but each subcontractor enforces them differently. Without continuous monitoring, compliance depends on who is watching that day.
Crane lifting areas, excavation edges and plant operating zones are redefined as the build progresses. Fences are moved; the risk boundary does not move with them.
Timber, insulation, gas bottles and waste accumulate in areas that are supervised least. Smoke usually appears long before flame is visible to a patrol.
Plant, cable and copper are most exposed when the site is empty. Perimeter intrusion after hours is rarely detected in time to prevent loss.
Proving that a risk was identified and controlled requires structured records, not a hard drive of unindexed video retrieved weeks later.
Most sites already have cameras for progress photos and basic security. They record incidents; they do not prevent them.
The upgrade is additive. Existing cameras and the site recorder stay in place; an analytics layer reads their streams and turns them into events. Nothing is replaced and nothing is re-cabled.
The QG-615AI16 edge AI box analyses up to 16 camera streams on site. Only events cross the network, so a limited site uplink is enough to keep the head office informed.
Where several sites or phases must be supervised together, an AI compute server centralises analytics across 96, 128 or 352 channels and compares behaviour between projects.
The AI video intelligence platform manages devices, algorithms and alarms, and produces the statistical reporting that safety audits and principal contractors ask for.
The algorithm library is the same one used across all ADHOOPU industrial deployments — 100+ algorithms with more than 10 running concurrently on a single camera. The categories below are the ones construction and infrastructure projects use most.
An alarm arrives while a person is still in the exclusion zone, not in the incident report written afterwards. That is the difference between a near miss and a lost-time injury.
Structured alarm records and retained event video demonstrate that supervision controls were in place and operating — the evidence principal contractors and insurers ask for after a claim.
Sites rarely buy AI cameras as a first purchase. The analytics layer works with what is already installed, so the project fits an operating budget instead of a capital one.
One box covers a single site today. When a second phase opens, another box or a central server adds capacity without re-engineering the first site.
16 channels of local analytics per box, fanless and low-power. Suits a single site, a gate area or a high-risk zone where only events should leave the site.
96 / 128 / 352 channel centralised analysis for group head offices supervising several projects, with optional large-model re-checking.
Where a new position is genuinely required — a gate, a crane base, a material store — ADHOOPU AI PTZ and bullet cameras extend coverage into the gaps.
The analytics layer feeds the systems already used on site rather than creating another silo.
Alarms and metadata are delivered over HTTP, MQTT, WebSocket or REST API, so the recording platform already on site remains the system of record.
Event outputs can drive alarm sounders, gate interlocks, access control or a safety dashboard through the same API layer.
Edge boxes at each site report to one platform, giving a single alarm console and consistent algorithm configuration across every project.
Tell us the site type, the camera count you already have and the 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.
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