小优智能科技有限公司成立于2015年底,是一家专注于高精度3D机器视觉模组研发、生产及销售的高科技企业。
公司自主研发的3D机器视觉模组采用激光/DLP白光编码光栅结构光+双工业相机方案,还原物体三维信息,广泛应用于消费电子领域、工业领域和安防领域,具有精度高、速度快、成本低的优势。
Project background:
Part of the casting production of radiators in a certain enterprise: the casting machine produces cast
radiators, the finished radiators and the edge materials are poured onto the conveyor belt, the finished
radiators are picked up manually and put into the material frame, and the edge materials are transported
back to the casting machine with the movement of the conveyor belt. However, with the acceleration of
the production pace, workers are prone to fatigue and boredom when facing high-intensity and repetitive
labor, which leads to lower work efficiency. In addition to the poor working environment and rising labor
costs, these problems faced by manual labor also restrict the further development of the enterprise, and
intelligent and automated transformation and upgrading are effective ways to solve this problem.
Project requirements:
4 different specifications of radiators and edge materials are conveyed on the conveyor belt at the same
time. The camera collects the target point cloud data. The algorithm identifies the radiator from the point
cloud data and gives the calculated grasping position and posture to the robot to guide the robot to
perform dynamic grasping.
Technical analysis:
1. Traditional 2D vision cannot obtain the 3D position information of the radiator, and the 3D camera can
meet the requirements;
2. Select a laser scanning imaging 3D camera, and install the camera at an appropriate distance above
the conveyor belt to meet the field of view and accuracy requirements;
3. Combine two-dimensional recognition technology to distinguish radiators and edge materials.
Physical picture
Scanning imaging effect
Customer benefits:
1. Reduce labor costs;
2. Improve production efficiency;
3. Enjoy comprehensive after-sales service and technical support.