Using our unique Sparse modeling AI, we provide an intuitive UI that allows you to perform visual inspection, regardless of your background in three easy steps.
1. Upload images for inspection
2. Learning & diagnosis take place in the cloud
3. Results & feedback are produced
Sparse Modeling based AI is especially adept for visual inspection use cases due to it’s flexible nature and the ability to work within a wide range machine specifications, data loads, and network bandwidths.
Upload images for inspection
Learning & diagnosis take place in the cloud
Results & feedback are produced
|Product Type||Cloud (local hosting is also available)|
Select the type of inspection service. For this example, we will select the ‘wood chip’ test.
Upload a normal image to be used as training data.
Select an algorithm and adjust the model’s parameters.
Upload the image you wish to inspect.
Select the ‘failed’ sections to analyze the errors.
Detecting defects in a wide range of materials, including wood, metal, and fiber, using only normal “good” product samples.
Examples: Detection of flaws, dents, defects, and breakage
Detecting defects related to missing components or misassembly.
Examples: Detection of missing parts, misalignment of seals, and other part defects
Detecting defects related to deviations from the specified object pattern in addition to inspecting object uniformity.
Examples: Soldering inspection & identification of circuit board breakage points
Counting number of parts