AI Video Analytics for Worksite Safety and Security

Most businesses already have cameras, but footage is usually only watched after something has gone wrong. AI video analytics — also called computer vision — changes that. AI models analyse video in real time and alert the right people the moment a specific risk or event is detected.

How AI video analytics works

1. Cameras capture video on vehicles, trailers, gates or worksites — ideally with wide or 360° coverage.
2. AI models analyse the footage to recognise particular objects, people and situations.
3. Events trigger alerts to managers, along with a short clip so they can verify what happened.
4. Data builds over time, showing patterns and hotspots so you can fix root causes.

Because alerts focus on defined events, nobody needs to watch hours of footage.

Use cases across industries

Worker safety and PPE

Detect when workers aren't wearing required personal protective equipment, or when people enter dangerous areas such as drop zones beneath lifting operations. Fast alerts help supervisors intervene before an injury occurs. The Health and Safety Executive (HSE) sets out employers' duties to manage these risks.

Fire and smoke

Early visual detection of fire or smoke in yards, depots and vehicles can complement traditional alarms, especially in large outdoor areas.

Cargo security

Detect open trailer doors, unauthorised access, cargo movement or tampering — with alerts in time to act, and video evidence for investigations and insurance.

Proof of service

Capture visual proof of successful deliveries, completed collections or worker attendance on site, reducing disputes with customers.

Environmental compliance

Spot hazards such as oil spills during loading and unloading, or hazardous items mixed into waste collections, helping avoid fines and environmental harm.

Passenger transport

Count passengers boarding and leaving to improve route planning, and alert staff to unsafe behaviour or theft.

Airside and yard operations

Detect approaching vehicles or aircraft near people and equipment to help prevent collisions.

Choosing the right solution

• Accuracy — ask how models are trained and validated, and how false alerts are handled.
• Coverage — 360° HD cameras reduce blind spots and the number of devices needed.
• Connectivity and storage — built-in connectivity and onboard storage avoid separate recorders.
• Ruggedness — outdoor and vehicle cameras need protection against dust, water and vibration.
• Custom models — your operation may need events specific to your industry.
• Integrations — alerts should reach the people and systems that act on them.

Privacy and the law in the UK

Video of employees and the public is personal data under UK GDPR. Before deploying AI analytics:

1. carry out a Data Protection Impact Assessment;
2. be clear and specific about why you're monitoring and what's detected;
3. tell staff and visitors with clear signage and policies;
4. avoid recording areas where people expect privacy;
5. set short, defined retention periods and restrict access;
6. be cautious with facial recognition, which carries extra legal requirements.

The ICO's guidance on video surveillance is a good starting point. (This isn't legal advice.)

Start small, then scale

Pick one or two high-impact events — for example PPE in a high-risk area or trailer door alerts — measure the results, then expand to more use cases.

Explore AI Vision

MK WebGuru's AI Vision uses 360° HD cameras and AI models to detect safety, security and operational events in real time, and we can build custom models for your operation. It's part of our integrated AI platform with driver safety and fleet tools. Book a demo to discuss your use case.