Example of use: Detection of defective products on the production line using anomaly detection AI.
Select only the products that require human inspection and automate the process! It's okay to inspect only a few percent of the total inspection count!
Visual inspection of defective products on production lines by humans involves a high workload and leads to inconsistencies in inspection quality. Therefore, we first use AI to identify products with a high likelihood of defects. Only those selected products are then visually re-inspected by humans, ensuring consistent quality while reducing manpower. Our anomaly detection service, 'TDSE Eye', implements advanced algorithms to streamline visual inspections for maintenance tasks and product quality verification. 【Case Overview】 ■Challenges - Time and labor costs are high - The work is dependent on individuals, leading to inconsistencies in inspection quality ■Benefits - AI inspection selects only the products that require human inspection, reducing manpower - AI ensures consistent inspection quality *For more details, please refer to the PDF document or feel free to contact us.
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【Features of TDSE Eye】 ■ Easy access to AI from individual applications ■ Quickly build complex models in a cloud environment ■ Always high-performance anomaly detection AI ■ Can be implemented and operated without specialized knowledge ■ Offline execution of AI inference at the edge ■ Extensive track record in the field of image AI *For more details, please refer to the PDF document or feel free to contact us.
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【Similar Use Cases】 ■Detection of Hazardous Materials in Factories: Using AI to detect and remove tools and equipment placed in normally unacceptable locations through surveillance camera images. *For more details, please refer to the PDF document or feel free to contact us.
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We provide comprehensive support for our customers' DX promotion and data utilization. Our support includes analysis by data scientists and engineers from academic backgrounds, assistance with product utilization, and the establishment of data science organizations within our customers' companies, tailored to meet their needs. Please feel free to contact us if you have any requests.
