SolVisionCase Study
Bearing Defect Detection Using AI
Customer
The customer is a manufacturer specializing in bearing components, requiring efficient, large-scale inspection to ensure high product quality.
Case
Bearing Functions and Features
A bearing, or bearing assembly, supports rotating shafts by maintaining axis alignment and reducing friction during movement. Bearings are critical components used in diverse applications such as automotive engines, industrial production equipment, and consumer appliances.
Challenge
Detecting Bearing Defects with Traditional Methods
Detecting defects in bearing threads presents two primary challenges. First, thread inspection involves evaluating the bearing’s interior from multiple angles to identify defects like excessive pitch, over-cutting, or broken grooves. The fine nature of the threads makes these defects difficult to detect with the naked eye. The second challenge is identifying foreign objects within the bearing, where uneven black spots caused by friction—potentially due to dust or lint contamination—can also be hard to detect visually using traditional inspection methods.
Solution
Advanced Defect Detection with SolVision
SolVision’s visual inspection tool effectively identifies various defects in bearing threads by training an AI model with just a few sample images. The AI vision system categorizes defects during inspection and continuously enhances its detection capabilities through deep learning. Consequently, SolVision reduces inspection time and significantly improves the quality control process with the speed and precision of AI.
Bearing Defect Detection
Thread Inspection
Normal
Excessive Pitch
Over-Cutting
Broken Grooves
Foreign Object Inspection
