3ASC25H214 PIXEL Series - Flagship high precision monocular 3D imaging module

PIXEL is the industry's first high-performance 3D imaging module based on electromagnetic MEMS monocular solution. The product is positioned as a flagship 3D imaging module with high precision, high environmental adaptability and high tolerance, aiming to solve the problems of poor imaging effect of metal reflective objects, complex workpieces and small-size workpieces in application scenarios such as bin picking, and easy to be interfered by ambient light; Suitable for large field of view, high-precision assembly scenarios in the automotive industry, as well as the loading and unloading of complex devices.

1. Product innovation
1) Excellent imaging effect
2) Ultra-high point cloud integrity
3) Excellent depth perception
4) Ultra-wide depth of field and field of view
5) Strong resistance to ambient light interference
6) High reliability, high stability design

PIXEL series performance parameter table
1. Which market pain points should the product focus on solving
In application scenarios such as bin picking, metal reflective objects, complex workpieces, and small-size workpieces have poor imaging effect and are susceptible to ambient light interference.
2. Product target market description
The performance of PIXEL series is comparable to that of international first-line products, and the national production supply chain has great potential as a domestic alternative. Suitable for large field of view, high-precision assembly scenarios in the automotive industry, as well as the loading and unloading of complex devices.
4. Application Cases
1) A large domestic automobile manufacturer uses 3D vision to guide gear loading and unloading, identifies and locates the gear flowing from the cleaning mechanism and judges the type, guides the robot to grasp the feeding process, and achieves cost reduction and efficiency in the production process with good customer feedback.
2) A large foreign-funded automobile stamping parts manufacturing factory uses 3D vision to guide the stamping parts to hit the nuts, and integrates 3D vision to identify the incoming stamping parts that are disordered on the material table, guide the robot to grasp, combine 2D vision for secondary positioning, align the screw holes on the workpiece with the riveting machine to place them, and complete the automatic nut welding workflow.
3) A well-known welding manufacturing factory applied 3D visual recognition to guide the round hole welding of steel plates. By combining 3D visual recognition of the round hole position and posture of steel plates with post-processing trajectory planning algorithm, the welding robot was guided to complete the porous welding work.