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Appearance inspection service using deep learning

In the AI era, appearance inspection is supported with a one-stop service from consulting in pre-verification to system construction!

The "Appearance Inspection Service Using Deep Learning" is highly flexible, accommodating various patterns such as specifications, shapes, structures, surface shapes, and finishes. Compared to visual inspection and conventional image inspection, it enables automated inspection without variability, eliminating reliance on individual operators. It allows for model construction with minimal data and development in a short period. Furthermore, it offers high flexibility with additional learning and model updates. For those looking to implement an automated inspection system or struggling with the personalization and accuracy of appearance inspections, our company will support you from preliminary verification to system construction. 【Features】 ■ Capable of handling diverse and challenging situations ■ Can start with minimal data ■ Automation of feature extraction ■ Instant judgment, efficiency, and high precision ■ Additional learning and model updates available ■ Relatively low barriers to implementation *For more details, please refer to the PDF materials or feel free to contact us.

Appearance inspection service using deep learning

basic information

【Specifications】 ■ AI learning model development ■ Judgment software ■ Inspection hardware (camera, lighting, dedicated PC) * ■ Integration with existing equipment * * Regarding hardware and equipment integration, we can also propose products from partner companies after consulting with the customer. * For more details, please refer to the PDF document or feel free to contact us.

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Applications/Examples of results

【Purpose】 ■ Various visual inspections ■ Alternative to visual inspections ■ Realization of full inspection guarantee *For more details, please refer to the PDF document or feel free to contact us.

Possibilities and Applications of Appearance Inspection Using Deep Learning

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