TAMPLATE

When transporting or conveying materials using a forklift, AGV, or AMR, the robot may not be able to meet the precision requirements for loading and unloading if the workpiece is not customized. However, by using a 3D vision system, the incoming material deviation can be effectively corrected, allowing for accurate gripping and placing.

In automobile manufacturing, there are numerous sheet metal parts that are stamped and have a flat structure, making identification difficult due to their reflective characteristics. The use of a 3D vision system, through feature capture, can effectively solve this problem by accurately identifying and facilitating the loading and unloading of these parts.

3D vision system can be used to achieve rapid switching between different models and parts. This allows for routine completion of new models and materials within two hours of their introduction. The system is designed to cope with the current status quo of mixed-line production under the order-based production model.

3D vision system provides robots with the ability to see and think, replacing traditional labour to complete numerous repetitive tasks. This results in a significant reduction in investment and maintenance costs of fixtures and fittings in the workshop, while also improving production efficiency and product quality.