Gear Wear

The detection of gear is often accompanied by a certain height of teeth and irregular gears. When measuring this type of gear with traditional optical inspection methods, it will encounter the following problems that cannot be solved: 


  1. Typical imaging has various distance shortcomings, resulting in poor measurement accuracy. 
  2. Gear teeth are irregular. Typical Vision algorithms cannot handle the measurement of irregular objects.
  3. Low edge sharpness which leads to poor accuracy. 
  4. Shadows in imaging.

Our Solution
Detecting irregular gear wear conditions at a certain height.


Bi-telecentric lens



VisionBank software with optimization algorithms 


Qualitatively optimizing both algorithm and hardware

  • The algorithm optimization of our platform firstly finds a straight line at the top of each tooth, and uses this as a benchmark to generate parallel lines downward at a fixed interval.
  • Each parallel line will generate two parallel lines with the tooth. Intersection point, calculate the distance between these two intersection points to measure whether the gear is worn or not (Figure 2).
  • This avoids the problem of not being able to locate the reference, even if the gear changes irregularly.

Hardware optimization:

Bi-telecentric optical system



Large depth of field, constant magnification, high parallelism, low distortion and high CTF, etc.


Collected images have no shadows. Detected high edge sharpness, and no minor problems remotely. 


In addition, the entire software platform has a simple operation interface, only required to set the fixed interval to start using. The measurement accuracy is up to 0.02mm.

Thanks for reading!

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