AI Powered Edge Computing Cameras

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This contractor has deployed AI-powered edge computing cameras across the entire 80km worksite to monitor access points where public rights of way intersect with construction zones.

Traditionally, these locations required 24/7 manned security, with two personnel per site due to lone working restrictions. The new system uses AI models to process live video feeds and detect anomalies such as unauthorised pedestrian or vehicle access, group congregation, and out-of-hours activity.

Alerts are automatically sent to roaming security teams, enabling rapid response and reducing the need for constant manual oversight.

This replaces static, labour-intensive monitoring with intelligent, automated surveillance that provides real-time alerts and contextual data. The system has reduced EKFB’s site security labour costs by over £50 million and improved safety by minimising direct public interaction.

It also enables scalable deployment across multiple use cases, such as monitoring plant stores and validating supplier waiting time claims, using trained AI models to classify normal and abnormal activity.

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About this entry

Published 4 March 2026
Views 3

Categories
Controlled access, Positioning of equipment, lighting and CCTV, Preventing unauthorised access,

Size of site
Very Large,

Level of Best Practice
Best practice,

About the author

Jack Endean
Partnerships and Innovations Manager

Entries by this author 1005

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