3D视觉拆码垛工作站应用了赛那德深度学习算法平台，使用赛那德独有的分割算法，结合3D点云姿态估计、动态追踪算法、条码纠正识别算法以及机械臂运动控制技术等，可以实现机械臂自动拆卸货。能够有效替代人工，为各行业实现无人工厂提供可能。

工作站内安置装载吸盘的机械臂，该机械臂最大负载为120KG，可以对箱体包裹进行动态拆垛码垛，抓取成功率大于 99.5%，工作范围为半径2.4M，效率：700件/小时

SENAD High-efficiency 3D Vision Deep Learning Robot Arm utilizes the SENAD deep learning algorithm platform. Using SENAD unique segmentation algorithm, combined with 3D point cloud pose estimation, dynamic tracking algorithm, barcode correction recognition algorithm, and robotic arm motion control technology, it can achieve automatic disassembly and unloading of the robotic arm. It can effectively replace manual labor and provide the possibility for various industries to achieve unmanned factories.

The workstation is equipped with a robotic arm for loading suction cups. The maximum load of this robotic arm is 120KG, which can dynamically remove and stack box packages. The success rate of grasping is greater than 99.5%, with a working range of 2.4m radius and an efficiency of 700 pieces/hour.

The workstation is equipped with a robotic arm for loading suction cups. The maximum load of this robotic arm is 120KG, which can dynamically remove and stack box packages. The success rate of grasping is greater than 99.5%, with a working range of 2.4m radius and an efficiency of 700 pieces/hour.