Metrology
explains Dipjyoti Deb, venture partner at BSH Startup Kitchen. “BSH had experimented with automated inspection solutions in the past, but each proved unsatisfactory and costly." BSH’s challenge was to increase the
accuracy and efficiency of batch inspection processes, in a way that was simple and did not require the design and installation of a complex, customised project. BSH project engineers Markus Maier and
Stefan Schauberger were responsible for reducing the detection time of component defects at one of BSH’s oven manufacturing plants in Traunreut, Germany. They approached BSH Startup Kitchen with this problem, and a partnership with Inspekto was formed.
The soluTion
Inspekto is the inventor of AMV, a new approach to industrial QA that mimics the entire human vision process while retaining the reliability and repeatability of industrial machine vision. Just as the human brain adapts our
single optical system - our eyes - to each scenario, AMV adapt a single electro-optical system to fit a wide range of use-cases. As a results, AMV systems are not tailor- made, case-specific solutions, but off-the-shelf products that come pre-trained for a wide variety of use cases, so that users can easily install and deploy them independently and in a very short time.
The user does not need to specify the
parameters for image capturing, like the distance between the camera and the sample item, lighting, focus value, shutter speed and exposure time - all of this will be automatically calculated and dynamically adjusted by the AMV system using its artificial intelligence (AI) engines. Users only need to present the system with 20 to 30 good sample items, so that it can learn the characteristics of the items to be inspected and flag any deviation from the memorised standards. The user-friendliness and immediacy of
AMV systems are the result of Autonomous Machine Vision Artificial Intelligence (AMV-AI), a proprietary technology that combines three AI modules to mimic the human cognitive vision process end-to-end. The first AI engine is in charge of dynamically adapting the electro-optics system to capture an optimal image of the part to be inspected, the second recognizes the item, and the third inspects it for defects. At all stages, the AI modules effectively mimic the human brain’s ability to acquire and process images, compare new images to ones that have been previously memorised, and spot differences. Convinced by the user-friendliness and the
accuracy of the technology, BSH implemented in its Traunreut plant the INSPEKTO S70, the only AMV system currently on the market.
The resulTs
Thanks to Inspekto’s technology, the BSH plant was able to implement the user-friendly, immediately deployable solution they were looking for, without having to commission a lengthy, cost- prohibitive and inflexible bespoke project. Furthermore, the INSPEKTO S70 can be
trained quickly, adapt to environmental changes, and inspect multiple products and models simultaneously - all as an offline solution without any cloud deployment challenges. “The result was so impressive that, while the
solution was initially planned for only three use cases, it is now successfully tested and validated for six additional applications in different production lines,” confirms Deb. Crucially, the partnership with Inspekto allowed
BSH to uphold its commitment to sustainability. The INSPEKTO S70 can be deployed at any point along the production line, not just at the end, helping the company spot defects early on. This means that precious resources are not wasted completing a product that is already damaged. It also means that the plant can pinpoint areas where defects happen more frequently and take action to improve the production process. With the systems in place at the beginning of
the assembly line, the Traunreut plant dramatically cut down material waste, helping the company save money while minimising its environmental footprint.
Inspekto
www.inspekto.com
58
August 2022 Instrumentation Monthly
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