Despite the extremely curved surface characteristics, Inovako’s Lumitec was a great fit for the quality inspection of Toyota logo group.
No rule-based approach than AI based DeepMaster could be such successful to detect the defects on the noisy surface of textured sealings.
A typical presence control application, running on DeepMaster, was developed for our client from France, a Tier-1 plastic injection supplier.
Bread quality audit is another great example of AI usage. The challenge has been overcome via proper data and DeepMaster.
Detection the fat sections on meat texture and produce a fat-rate grade output was the challenge and it has been achieved by DeepMaster.
A deep learning model identifying each element on a tray and sending the related outputs, again was running on DeepMaster.
DeepMaster was used to detect production defects (such as porosity, lack of material) on the x-ray images of casting parts.
Defects like cracks, excessive flashing, lack of fill, porosity, spatter and arc strike were the detection challenges achieved by DeepMaster.
Detection of holes on denim fabric and defect size calculation were the challenges and have been achieved by DeepMaster.