ForkVision
Rack impacts can go unnoticed for dangerously long periods of time increasing the risk of racks collapsing, leading to operational downtime, escalating maintenance costs and in more severe cases loss of lives. Forkvision addresses this problem through the deployment of a state-of-the-art computer vision algorithm based solution, strategically monitoring the health of racking through operational Forklifts, feeding data into an analytics dashboard and notifying the management team of detected damage in a timely manner.
- Magnetic mounting to forklifts
- Industrial enclosure
- Continuous Model optimisation through ‘Active-Learning’.
- Model trained on Real dataset containing thousands of racking legs.
- Environment-specific Model adaption, providing a highly custom solution for every Warehouse.
- Analytics dashboard detailing damage types, clusters and more.
- Rechargeable device
- On-board buzzer for on-ground real time alerts aimed at notifying the driver of damage.