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MNE_OQC (Defect Detection Challenge)

Our main project goal was to create an AI system that can classify product images that may originate from various industries. This system can differentiate between 2 cases: a defective and non-defective product, and as well provide a location of the defective region(s). Contributed AI model outperforms state-of-the-art algorithms in both precision and latency. Model inputs are zoomed images of products. A significant amount of our resources was invested in the business potential of our product.

Categories

Business Category
Manufacturing

What is the challenge that is being addressed?

Defects in manufactured products can cause losses and errors in the entire production process and manual inspection is tedious, labor-intensive, and often error-prone. In order to ensure zero defects, vision-based automated quality inspection is cutting-edge technology for manufacturing companies and AI is the enabler for developing such functions.

 

What is the AI solution the project plans to implement?

We offer a system that can classify product images that may originate from various industries. Our smart system can differentiate between 2 cases: a defective and non-defective product, and as well provide a location of the defective region(s). Contributed AI model outperforms state-of-the-art algorithms in both precision and latency. After evaluating its generalization capabilities, we can say that the developed model can start dealing with a completely new use case, by training on as few as 50 annotated images.

 

How will BonsAPPs support you in implementing this solution?

We see Bonseyes marketplace as a distributed platform for all the AI stakeholders that will help us monetize our IP while solving real-world industry challenges. As an R&D team, we think that we are an ideal match with the Bonseyes ecosystem as we can offer scientific and development services. Currently, we are working on a defect detection AI App but with the experience gained during that challenge, we are highly confident that we could strive in any other AI challenge defined by the community. Throughout the 5-month support program, we received technical and business support coordinated by technical and business mentors, which was of great importance and immeasurable help.

 

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