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AI-based Visual
Quality Inspection
Automated and digitized
visual inspections for your products
Good
Error
AI-based Visual
Quality Inspection
Automated and digitized
visual inspections for your products
Good
Error
AI-based Visual
Quality Inspection
Automated and digitized
visual inspections for your products
Good
Error

Trusted by the Industry

Application Areas

Use in Manual Manufacturing Processes

Assembly Verification

We equip existing assembly, packaging, and inspection workstations with intelligent camera systems and displays. These systems provide precise guidance to workers while simultaneously checking their work results directly within the production process.

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Use in Automated Manufacturing Processes

We seamlessly integrate advanced camera systems and sensors into machines and conveyor systems. This enables automated inspection of product quality as well as comprehensive collection and analysis of production data.

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What Our Customers Say

I can only recommend working with the team of ANTICIPATE. The solution offers great value in reducing manual errors. In addition, we were able to connect the system with our existing systems, such as pick-to-light and order management, without much effort.

Lukas Merkel

Lukas Merkel

INOYAD Technologies

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Working with ANTICIPATE was characterized by a culture that puts the main focus on results and win-win outcomes at the center of all technical efforts at all times and across the board. I was impressed by the fast responsiveness and technical expertise in the collaboration.

Gennaro Cavallucci Logo

Gennaro Cavallucci

Intel Corporation

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Manual visual check

Manual visual inspection causes high quality costs

High error rates

Human testing is subject to fatigue, subjective judgment and variable attention - leading to inconsistent quality and high risks of complaints and rework.

Low test speed

Manual inspection processes limit the cycle time and cannot scale with increasing production volumes - they create bottlenecks and impair efficiency along the line.

No documentation

The automated capture of structured data is crucial for continuous process improvement and the development of a digital basis for further applications.
Classic image processing

Classic inspection systems fail in the event of product deviations

Complex user interface

Classic image processing systems are maintenance-intensive and require specialized expertise - every rule adjustment or new inspection task requires time-consuming programming and expert input, resulting in high running costs.

High pseudo scrap & slippage

Classic image processing systems are sensitive to production-related variances - even slight deviations or reflections often lead to pseudo rejects or slippage, causing unnecessary rework and additional costs.

Lack of scalability

Conventional inspection systems are limited to clearly defined features and quickly reach their limits with variable product geometry or complex defect patterns - AI-based systems, on the other hand, reliably detect surface defects, for example, even across different variants.

Contact

Kevin Denker

Kevin Denker

CEO, ANTICIPATE GmbH

Whether you have questions about features, pricing, trials or anything else, I am happy to hop on a call with you. Just send me an email or schedule time with me.

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