Overview
This project explored the use of artificial intelligence to improve health and safety compliance within a live warehouse environment.
Woods & Walker were engaged to design and deliver a proof-of-concept platform capable of analysing real-time video feeds from inside operational warehouses. The goal was to provide immediate, actionable feedback to staff, reducing unsafe behaviour and reinforcing existing safety policies.
The result was a fully functioning MVP that demonstrated how AI could be applied pragmatically within an industrial setting to support safer day-to-day operations.
The Challenge
Maintaining consistent health and safety compliance in busy warehouse environments is difficult.
Despite clear policies and training, unsafe behaviours can emerge over time—often driven by pressure, habit, or efficiency shortcuts. In this case, a key safety rule limited staff to moving a maximum of two trays at a time, yet historical incidents showed this was frequently exceeded.
Traditional enforcement methods relied on:
- Manual observation and reporting
- Retrospective review of CCTV footage
- Reactive intervention after incidents occurred
The challenge was to explore whether AI could be used to:
- Monitor behaviour in real time
- Identify safety violations automatically
- Provide immediate feedback to staff on the warehouse floor
- Do so without disrupting normal operations
The Solution
Real-Time Video Analysis Using AI
We designed and implemented an AI-powered system capable of analysing live video feeds from within the warehouse environment.
Using computer vision technologies, the system could identify scenarios where safety rules were being breached—such as staff moving more trays than permitted—without the need for manual monitoring.
This analysis happened in near real time, allowing issues to be detected as they occurred rather than after the fact.
Proof of Concept with Clear Technical Validation
The engagement was strategically scoped as a proof of concept to validate the feasibility of AI-powered safety monitoring before any larger investment.
Our focus was on:
- Demonstrating technical feasibility in a real warehouse environment
- Validating AI accuracy against actual operational scenarios
- Proving how AI-driven insights could integrate seamlessly into existing health and safety workflows
The PoC successfully demonstrated that the technology worked as intended. While the project didn’t progress to full-scale implementation, it provided definitive proof that AI could detect safety violations in complex, real-world warehouse conditions.
The Outcome
The project successfully delivered a working AI-powered safety monitoring system:
- Live detection of safety violations using real-time video analysis
- Reduced reliance on manual observation and retrospective reporting
- Clear validation of AI feasibility in an industrial, real-world setting
While the initiative did not progress beyond the PoC/MVP stage, it conclusively demonstrated how AI could be applied to improve health and safety compliance in complex operational environments.
Partnership
This project reflects Woods & Walker’s pragmatic approach to AI implementation.
We focus on applying emerging technologies to real business problems—rapidly validating ideas through working systems rather than theoretical models. By delivering a fully operational proof of concept, we enabled informed decision-making around future investment and scalability.
We work best as a technology partner, helping organisations explore, test, and implement advanced capabilities with clarity and confidence.