Examples
Standard Software using HALCON
| Category | Automotive components |
|---|---|
| Workpiece | Bushing |
| Inspection details | Visual inspection |
| Application | Deep Learning + Rule-Based |
Before
It is a captured image of the Bushing parts.
It is a defect that is difficult to detect by conventional image processing because the color is black overall, the contrast is low, and the shape of the defect is different each time.
It is a defect that is difficult to detect by conventional image processing because the color is black overall, the contrast is low, and the shape of the defect is different each time.
After
By using deep learning, it is not necessary to make detailed settings, and it is possible to detect defective parts simply by registering an OK captured image.
[Main characteristics]
Inspection is possible by combining Rule-based image processing and Deep Learning.
With this software, you can easily realize processing such as image filter, alignment, image cropping processing by Rule-based image processing,
and then defect inspection by Deep Learning.
Furthermore, it is also possible to measure the area based on the rules for the inspection results of Deep Learning.
Suitable for the following inspections.
・ Defect detection
・ Product Classification
Inspection is possible by combining Rule-based image processing and Deep Learning.
With this software, you can easily realize processing such as image filter, alignment, image cropping processing by Rule-based image processing,
and then defect inspection by Deep Learning.
Furthermore, it is also possible to measure the area based on the rules for the inspection results of Deep Learning.
Suitable for the following inspections.
・ Defect detection
・ Product Classification