Vision-Guided Bearing Assembly System
- Yet Another Successfully Delivery after FAT with 5000 cycles – Vision-Based Bearing Assembly Automation Project
We’re excited to share the successful completion for our Vision-Guided Bearing Assembly System, developed to ensure 100% correct bearing orientation during assembly.
Customer Challenge:
In the existing manual process, angular contact bearings had to be assembled in a specific orientation. Incorrect direction during assembly caused improper thrust load absorption and, in some cases, roller ejection during operation. Because of transition fits, the bearings could be assembled manually without any machine support — typically done by operators through hand or hammer touch fitting. This made the process fully manual and operator-dependent, allowing the bearing to be assembled in either direction without any visible dimensional cue, which often led to orientation errors and rework. 💡
Our Innovative Solution:
Our automation team developed a vision-based assembly verification system integrated with the bearing press setup. The system uses high-precision SICK vision sensors and Siemens PLC for real-time image processing and interlocking logic, ensuring the bearing orientation is verified before pressing. If the orientation is incorrect, interlocks prevent further operation, ensuring only correctly oriented bearings are assembled.
Key Highlights:
Fully automatic system with model selection and orientation validation Real-time image processing and interlocking logic using SICK Vision Sensors with Siemens PLC Autonomous workflow: assembly allowed only if bearing orientation matches stored reference Operator cannot proceed or remove product until correct orientation is verified.
Process cycle time:
~10 seconds including loading and unloading Eliminates manual judgment and reduces dependence on skilled labor
Customer Benefits:
Zero-defect assembly process Improved product quality and reliability Reduced rework and assembly time Consistent results irrespective of operator skill


