Britbuild-10-2026 Issue 22 | Page 32

Safety Shield

From warning to prevention: How AI is transforming construction site safety

‘ Every worker home safe every day’ continues to be construction’ s most important commitment, but the task of actually delivering on that promise remains a complex and continually evolving challenge.

Across busy sites, where people, plant and machinery are constantly on the move, risk never stands still – and those charged with delivering effective safety solutions know they face an ever-demanding task that requires innovation and adaptation.

The introduction of AI technology represented a major step forward when the very first Human Form Recognition( HFR) devices gave us audio and visual alerts to warn of people-plant interface( PPI) risks. What comes next, however, has even greater potential to be a game-changer for the industry and beyond.
By harnessing advances in AI and edge computing, site safety solutions are now moving beyond the relatively basic warningstyle alert systems, focusing instead on enhanced, real-time software capable of identifying patterns, predicting where risks may emerge and helping site teams prevent incidents before they occur.
Safety Shield Global has played a significant role in that transformation, with its R & D team working towards the company’ s central goal of eradicating worksite injuries and deaths worldwide.
HFR was launched 18 years ago after Safety Shield CEO and founder Jonathan Guest had spent more than a decade working alongside government officials, research institutes, transport authorities and construction companies to come up with a solution to prevent incidents of PPI.
Following the death of a close friend who was crushed by an excavator, Jonathan dedicated his career to the goal of eradicating worksite collision deaths.
Independent testing has recorded a human-form detection accuracy rate of 99.6 %, with false detections reported at 0.05 %. The very first HFR system on the market, Safety Shield has secured seven ISO certifications relating to its technology and operations.
However, advances in AI and computing are opening new doors of possibility for the Safety Shield developers as they seek to develop a range of products already installed on more than 20,000 machines worldwide.
The latest development on that journey is Nexus.
Launched earlier this year, Nexus represents the next stage in the development of HFR technology, focusing on the collection, interpretation and practical use of worksite incident data – often generated in such volumes that clients struggle to extract meaningful insights from it.
While Safety Shield’ s award-winning HFR software acts as a third eye for the plant operator by sending visual and audible alerts to the control cab when a human form enters an outer detection zone or the higherrisk inner zone, Nexus takes the process a stage further.
Using edge AI computing on NVIDIA hardware, it analyses incident data and provides contextual, scenario-based intelligence for the user.
Built specifically for high-risk environments, Nexus acts as the intelligence layer within the Safety Shield ecosystem, filtering the mass of live operational data so that frontline teams can focus only on the incidents that matter most and drive behavioural change.
Jonathan’ s goal is simple:“ It has been the same since we started down this path almost 20 years ago. We are determined to completely eradicate fatalities and injury from environments where heavy plant machinery continues to pose a danger to vulnerable workers.
“ We know there is still work to be done, and our teams of developers and engineers have been busy developing systems which will go a long way to making our sites even safer. If science doesn’ t sleep, then neither will we.
“ AI is now deeply integrated into everyday technology, and these major leaps in machine learning, computer vision, and edge processing have made it possible to deploy intelligent systems in real-world environments in real time – without relying on cloud infrastructure or large-scale computing power.
“ As a result, AI is no longer just predictive – it’ s responsive, adaptive, and increasingly accurate in dynamic conditions.”
The technology may be increasingly sophisticated, but its purpose remains reassuringly simple: to anticipate risk, influence behaviour and ensure every worker returns home safely every day.
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