From visual inspection to automatic quality control, high-precision detection of coating defects using learning image processing.
The AXVI500 automatically inspects the coating condition using a proprietary image processing algorithm. It detects defects such as bubbles, foreign objects, and splatter, while continuously accumulating inspection data through ongoing learning, achieving high-precision quality control and automation of the inspection process without relying on visual inspection. Equipped with a proprietary image processing algorithm Automatic detection of coating defects Fine detection of bubbles, foreign objects, and splatter using a line scan camera Improved inspection accuracy through continuous learning Complete automation of visual inspection Integration with NG stockers Automatic conveyor width adjustment feature
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basic information
【Specifications (Partial)】 ■Dimensions L×W×H: 1090×840×1610mm (excluding signal tower) ■Weight: 355kg ■Camera Working Area: 370×400×100mm ■Conveyor: Electric variable type (variable width 50–500mm) *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
Company information
ONE OF A KIND SOLUTIONS - The "liquid application solutions" we provide are all unique. From mobile devices to digital appliances, life sciences, eco-energy, and the latest automobiles, the cutting-edge manufacturing scene has become more diverse than ever, and the application processes required at individual sites are changing daily. We propose products and systems tailored to the specific needs of individual customers, transcending industries and fields. By applying our accumulated technology, we challenge new endeavors in unknown application areas and bring them to fruition. This is our mission as a specialized manufacturer of dispensing technology, continuing to address various challenges faced by our customers based on years of experience and achievements.






![[Production Example] Electronic Component Image Inspection System](https://image.mono.ipros.com/public/product/image/487/2000600246/IPROS34137666307572717626.png?w=280&h=280)


