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5 Construction Site Hazards AI Vision Catches Before They Become Incidents

The Xorth Team
·
May 28, 2026
·
5
min read
5 Construction Site Hazards AI Vision Catches Before They Become Incidents

Why traditional CCTV isn't enough

Most construction sites already have cameras. Few have anyone watching them. Footage gets reviewed after an incident, not before — which means cameras serve as evidence after the fact, not protection in the moment.

AI vision changes the math. The same cameras, paired with computer vision models trained on construction-specific hazards, become a 24/7 safety system that flags risks as they emerge.

1. Missing PPE before entry

Hard hats, high-vis vests, safety glasses, gloves. Manual checks at site entry are inconsistent and add friction. Xorth detects missing PPE the moment a worker approaches a hazard zone and triggers an alert — before they're exposed.

2. Fall risks near edges and elevations

Falls remain the leading cause of construction fatalities. Xorth continuously monitors elevated work zones, flagging workers near unprotected edges, unsafe ladder use, and missing fall-arrest gear.

3. Heavy equipment swing zones

Pedestrians entering the swing radius of a crane, excavator, or backhoe is one of the most common precursors to a serious incident. AI vision detects the simultaneous presence of equipment in motion and workers in the danger zone — and alerts both within seconds.

4. After-hours intrusion

Unattended sites lose tens of thousands per year in equipment and material theft. Xorth distinguishes between a trespasser climbing a fence and an animal triggering motion sensors — sending only real alerts to security.

5. Fire and smoke

Construction sites have welding, fuel storage, and combustibles in close proximity. AI detects the earliest visible signs of fire or smoke and triggers immediate alerts long before smoke detectors react.

The shift from forensic to preventive

The biggest change isn't the technology — it's the operating model. Sites with AI vision shift from reviewing what happened to preventing what's about to happen. Same cameras. Same operations. Dramatically different outcomes.

Want to see Xorth on your sites? Reach out for a demo — we can typically connect your existing CCTV without new hardware.

Product, safety and AI research notes from the team building Xorth.

Xorth connects to the cameras you already own. See real-time detection running on your own feeds.

Book a demo
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Frequently Asked Questions

How Xorth connects, what it detects, and where your video is processed.
General
How does Xorth work with our existing cameras?
Expand answer
Xorth connects to your existing IP CCTV over RTSP through your NVR or VMS, and to any ONVIF-conformant camera; analogue estates connect through an encoder. There is no camera replacement and no new cabling. In practice this covers all major camera brands — Hikvision, Dahua, CP Plus, Hanwha, Axis and Bosch among them. As a rule of thumb a model needs a 2 MP or better stream, enough light for the zone, and a view in which the subject fills enough of the frame to be resolved — but we confirm that per camera position during the survey rather than promising it in general. Angle, distance and lighting decide which models a position can support, and we tell you which ones it cannot.
How long does deployment take?
Expand answer
First cameras are typically live within about a week of network access. A fully tuned site — zones drawn, detection thresholds set, false positives reviewed with your safety team — usually takes two to four weeks depending on camera count. Tuning is not optional: an alert stream nobody trusts gets ignored, and an ignored alert stream is worse than no system at all.
Where is our video processed and stored?
Expand answer
Wherever your policy requires. Inference can run on a GPU server inside your own network, in a private cloud tenancy you control, or on Xorth-hosted infrastructure — the mode is fixed in your order form, not changed later. In on-premise and private-cloud deployments the video stays inside your environment and only events, metadata and short evidence clips reach the dashboard. Where you choose Xorth-hosted, that infrastructure runs in Mumbai, India, with the region confirmed in your order form. A full audit trail is maintained in every mode. Under the Digital Personal Data Protection Act, 2023 you remain the Data Fiduciary; Xorth acts as a Data Processor on your documented instructions.
What can Xorth actually detect?
Expand answer
Twenty-four detection models across three domains. Safety covers PPE, work at height and fall arrest, falls and prolonged immobility, crane and lifting proximity, exclusion-zone breach, hot work, fire and smoke, and material stacking. Security covers perimeter and after-hours intrusion, restricted-area access, loitering, ANPR, enrolled-person recognition and material and plant protection. Operations covers zone activity, headcount and entity count, covered-load verification, waste handling, crowding and visitor logging. Ask us for the full model list — which of them a site runs is a configuration decision, not a licensing one.
Can Xorth integrate with our existing security and EHS systems?
Expand answer
Yes. Xorth is an additional layer over your existing operation, not a replacement for it. Events are delivered by email, SMS, in-app, open REST API and signed webhooks, so they can be pushed into your incident register, EHS management system, access-control platform or ticketing tool. Deeper connectors are scoped with your systems integrator.
What happens when something is detected?
Expand answer
The assigned responder receives an alert carrying the camera, the zone, a timestamped evidence clip and the model's confidence score. Every alert is retained with its review state, so you can show who saw it, when, and what corrective action was raised. Detection is probabilistic and always requires human judgement — Xorth surfaces the event and holds the record; your team decides what it means.