Make visual inspection easier! No knowledge of AI or image processing required. An AI image judgment (automated quality inspection) system that can determine good or bad in real-time on the manufacturing floor.
Y's-Eye is an AI image judgment service that supports the stabilization and automation of inspection quality. It can also be integrated with elimination mechanisms to further achieve automation for the exclusion of defective products. It is utilized in various quality inspections required by the HACCP system. By accumulating data, it also contributes to traceability.
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basic information
AI standardizes image judgment that cannot be defined by numerical values and makes real-time assessments. Since no specialized knowledge of AI or image processing is required, it allows for the automation of visual inspection processes without hassle, improving inspection efficiency and standardizing quality. It is also possible to combine it with mechanisms for eliminating defective products to further advance automation. 【Features】 ● The AI (deep learning) image analysis technology can be applied to ambiguous judgments that were difficult to handle with conventional image inspection devices. ● High-speed image recognition processing is achieved through the use of edge terminals and GPUs. ● It is equipped with a function for additional learning from human insights. Repeated learning improves detection accuracy. ● Further automation is possible by collaborating with elimination mechanisms such as robots. 【Demonstration】 A demo unit is installed at our headquarters. If you wish to visit, please feel free to contact us.
Price range
P6
Delivery Time
※It varies depending on the content of the requirements specification.
Applications/Examples of results
【Application Examples】 ■Industry: Confectionery Manufacturer For checking defects such as overbaking and chipping of sweets. ■Industry: Food Manufacturer For detecting foreign objects mixed in raw materials that cannot be found by metal detectors. ■Industry: Prepared Food Manufacturer For detecting missed items or incorrect placement of side dishes in bento boxes.
Detailed information
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【AI Judgment Model】 - Can determine abnormalities and defects using only normal images. - Reduces the effort of data classification by automatically extracting items with low similarity. - Shortens the time required for image collection with automatic sample image generation technology. 【Exclusion Mechanism】 - It is also possible to select and support the introduction of robots according to the target objects.
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Company information
iCube Digital Co., Ltd. is a "digital system integrator" that supports factory automation and optimization in the manufacturing industry by utilizing IoT and AI analysis for factory equipment. We combine competitive mechatronics products and automation technologies in the factory edge domain, such as servos, inverters, and robots owned by Yaskawa Electric, with IoT/AI products, technologies, and know-how in the upper network domain held by YE DIGITAL to provide optimal solutions to our customers.
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