Through the adaptive AI intelligent vehicle type detection algorithm, a palletizing algorithm that suits the national conditions has been developed. From semi-trailers to tricycles, the tower-shaped structure of the vehicle body can be loaded immediately upon arrival, effectively ensuring the stability of the material stack shape under overload conditions.

Multi-scenario and all-round real-time monitoring of the loading progress, loading and unloading status, belt status, etc. on the lane. The digital twin model is abstractly defined to enable various parameters to be configurable, allowing for one-click configuration to adapt to different projects.

Empower intelligent equipment and enhance shipping capacity

· It can intelligently adapt to various vehicle models, maximizing the utilization rate of loading and unloading space in the stack type

· Multi-lane loading management to ensure maximum loading capacity

· Efficient and highly accurate loading of finished product orders, with information data interconnected with the enterprise's ERP and MES systems