Manufacturing & Logistics
Industrial risk prevention through computer vision
A near-miss on a loading dock is almost never a surprise. The conditions had been in place for weeks — pace, headcount, lighting, end-of-shift fatigue — with nothing connecting them.
The stake
Event detection alone produces alerts; it does not tell you why one workstation generates three times more than the next. ASLAN ties the event to the human and organisational conditions that preceded it.
The models run on the cameras already installed — and on low-cost webcams where there are none. No hardware refresh is needed to start.
On the ground
Where ASLAN operates, and what it measures
Operational contexts
- Production lines
- Warehouses & distribution centres
- Loading docks
- Maintenance operations
- High-risk workstations
What we measure
- Human–machine proximity and zone breach
- PPE compliance
- End-of-shift fatigue and vigilance
- Actual pace and constrained postures
What ASLAN enables
- Combine environmental and human signals to detect emerging operational risks.
- Identify how workload, task design and organisation affect operator performance.
- Optimise shifts, workflows and working conditions using real operational data.
Other sectors
