A hot topic in the food industry! Supporting the improvement of inspection quality and solving issues such as labor shortages!
The AI image judgment service "MMEye" is equipped with our AI "Paradigm," which systematizes our technology and know-how, enabling real-time AI image judgment in manufacturing sites. Thanks to AI image processing analysis technology, it can be applied to ambiguous judgments that were difficult to achieve with conventional image inspection devices. ■ What MMEye can do - Anomaly detection By learning images of normal products, it enables high-precision anomaly inspection. - Object detection It can immediately extract registered targets from images and calculate their areas. - Classification It classifies various types of objects into their respective categories.
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basic information
■Feature 1: Real-time AI visual inspection utilizing edge devices ● By using edge devices, image judgment is performed in real-time on-site. ● Without relying on human eyes, complex patterns are automatically judged with human-like accuracy using AI technology (deep learning) and proprietary preprocessing techniques. ● Even without specialized AI knowledge, optimization can be easily executed from the GUI. ● Proficient in collaboration with robots and discharge mechanisms. ■Feature 2: The more you use it, the smarter it gets! Our proprietary technology ● Abnormalities and defects can be judged using only normal images. ● By automatically extracting items with low similarity, the effort of data classification is reduced. ● The automatic generation technology for sample images shortens the time required for image collection. <Also Recommended!> ■Meeting diverse customer needs! MMEye, which is verified in-house, not in the cloud ● "MMEye Box" provides an AI engine for creating discrimination models on-premises. ● AI engine updates are a service! You can use the latest, high-precision AI while in a closed environment within your organization.
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■Case Studies ●Automation of insect classification and identification captured by insect traps ●Appearance inspection of snacks using AI ■Application Examples: AI image recognition technology applicable in various fields ●Foreign matter contamination ●Topping inspection ●Count verification ●Food inspection, etc...
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Company information
Since its founding in 1978 as "Yaskawa Information Systems," the company has primarily supported management through the implementation and operation of core systems for manufacturing customers, as well as assisting in manufacturing sites with line control and product integration, accumulating extensive know-how in the manufacturing industry. Additionally, the company has been actively engaged in business as an IoT vendor since the early days of IoT development. By leveraging the technologies cultivated in the manufacturing sector and expanding into social IoT, we support our customers' transformation.
![[Data] Case Studies of IoT and AI Implementation in Manufacturing Industry: Streamlining Visual Inspections](https://image.mono.ipros.com/public/product/image/cf4/2000563637/IPROS58094160420736470591.png?w=280&h=280)
