The Vision-Guided Deracking solution utilizes machine vision technology to scan and locate parts or material containers through sensors. It guides the robot to adjust its trajectory, enabling automated picking of components such as battery case upper and lower covers at the beginning of the line and automated stacking at the end of the line. This solution achieves multi-scenario automation in material handling and loading/unloading.

Application Scenarios

• Parts handling scenarios for EMS, FDS, etc.

• Parts handling for fixtures with lower battery trays, upper battery trays, etc.

• Parts handling for racks with disorganized parts, such as crossbeams and reinforcement parts.

Advantages

• Supports automated material racking and deracking across multiple battery shop scenarios, improving production efficiency.

• Reduces dependency on high-precision fixtures and lowers overall maintenance costs in the battery shop.

• Minimizes manual intervention, optimizes workforce allocation, and creates a safer and more comfortable working environment.