Vision & Imaging Blog
Overcoming Laser Calibration Challenges in 3D Machine Vision
3D machine vision has been around since the 70s. Although it wasn’t commercially viable until much later, it has nonetheless been an innovative factor in the industrial sector and demand for 3D imaging is expected to grow in 2017.
One of the most common types of 3D machine vision involves laser triangulation. This is because laser triangulation is capable of producing very accurate 3D models.
There are various ways this type of system can be configured, but all experience the same challenges in fine-tuning calibration for optimum accuracy.
Common Problems in 3D Laser Triangulation Imaging Systems
It’s important to be vigilant and watch for issues in calibration, as any error in accuracy compromises data and image integrity.
There are some common calibration barriers in 3D laser triangulation systems. For example, the smallest of vibrations, in the camera-laser setup or in the surrounding environment, can create a large amount of noise in images.
Laser line curvature must be accounted for, especially in high-magnification applications. Also, any lost frames will create an error in resolution on the x-axis. Any issues in focus will create large deviations in the laser stripe.
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3D machine vision systems have incredible potential – as long as the accuracy of the images they produce can be relied on.
Fixing Problems in 3D Laser Triangulation Imaging Systems
Bearing in mind some of the best practices in 3D imaging, you can fix calibration and accuracy issues, and, ideally, avoid them in the first place.
- Placing the camera farther away from the object improves focusing range
- Higher focal lengths will lead to less image distortion
- Smaller FOVs won’t necessarily translate into better resolution
- Recording causes of errors in accuracy is good practice– some applications will prove to be more prone to certain types of errors
- Laser emitters and calibration configurations have their trade-offs, studying them thoroughly and choosing the best types for your application can help avoid any issues
Accuracy in 3D imaging is vitally important. Addressing common problems in calibration will ensure data and image integrity.
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