Automated fault detection
Replace manual quality checks with reliable image analysis with DENKnet
Flawless surfaces can be crucial for functionality and aesthetics. With the help of our image analysis AI, all surfaces can be inspected (wood, glass, metal, plastic, leather, and more). Our AI detects even the smallest irregularities or deviations on surfaces, such as scratches, dents, bubbles, impurities, corrosion, cracks, unevenness, or color deviations, including coatings.
Depending on the task, realizable through the following technologies:
Possible industries: Furniture manufacturing, photovoltaics, metal industry, automotive industry, toy industry, medical technology, textile industry
Read customer storyThe image analysis AI precisely inspects each object for defects or deviations. Whether it’s microcracks, material defects, missing components, or shape deviations – the AI detects deviations faster and more reliably than the human eye. Custom quality levels (categories) can be defined so that items are classified accordingly: B-grade, scrap, etc. All defects that the human eye could detect are assessable with image evaluation AI: wafer inspections, solder joint checks, label inspections, and more.
Depending on the task, realizable through the following technologies:
Possible industries: Semiconductor industry, mechanical engineering, electronics manufacturing, automotive and aerospace industries, textile industry, food industry, horticulture, pharmaceuticals, etc.
Discuss your use caseWhether in assembly, packaging, or shipping – the AI reliably checks whether all components of a product are present and correctly located. This ensures that no objects are missing – whether in assembly or filling processes. AI-assisted inspections ensure the functionality and safety of your products and guarantee correct stocking quantities. Even in manufacturing processes for small objects like circuit boards, reliable inspections can be performed using image analysis AI.
Depending on the task, realisable through the following technologies:
Possible industries: Automotive industry, food industry, logistics and packaging industry, pharmaceutical industry, horticulture, etc.
Discuss your use caseCondition inspection with AI image analysis is a central tool for checking products or conditions for defects, wear, or other deviations from the standard. It can involve "simple" distinctions between OK/not-OK (iO/niO) or complex, multi-stage categories. The user defines the criteria and categories. In the field of quality control, condition inspections can be applied to seal seams, wear points, coatings, or labels and tags. With image analysis AI, quality standards can be maintained, and effective monitoring can be carried out.
Depending on the task, realisable through the following technologies:
Possible industries: Food industry, logistics, wood industry, pharmaceutical industry, metalworking, automotive production, waste management
Discuss your use caseOur AI is perfectly suited for fast and automatic classification of products or components according to specific characteristics. It distinguishes between different materials, shapes, or colors and sorts products accordingly. You define your specific features and have classifications carried out automatically and efficiently.
Depending on the task, realisable through the following technologies:
Possible industries: Food industry, logistics, wood industry, pharmaceutical industry, metalworking, automotive production, waste management
Discuss your use caseThe AI counts objects precisely and is ideal for applications where large quantities need to be recorded, such as in logistics or production processes. This way, you can always keep track of your inventory or pack correctly according to defined quantities.
Depending on the task, realisable through the following technologies:
Possible industries: Food industry, logistics, toy industry, pharmaceutical industry, metal industry, retail, healthcare
Discuss your use case