• • • ENERGY EFFICIENCY• • •
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,” confirmed Dipjyoti. 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.
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 memorized, 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 in Traunreut 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.
What’s more, the INSPEKTO S70 can be trained
quickly, adapt to environmental changes, and inspect multiple products and models
electricalengineeringmagazine.co.uk ELECTRICAL ENGINEERING • JULY/AUGUST 2022 31
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