The first specialized model for inspection targets of the AI image judgment solution "Y's-Eye," which supports the stabilization and labor-saving of inspection quality.
What is the inspection-target specialized model "Y's-Eye Hamburger"? It is the first model of the AI image inspection solution "Y's-Eye," which combines AI image inspection with an exclusion mechanism to support the stabilization of inspection quality and labor-saving. This model specializes in inspecting hamburger patties and has been packaged to enable a smoother implementation in a shorter time than before. By consolidating the technology of the Yaskawa Group and achieving automation of the inspection process through the collaboration of AI and robots, it is expected to contribute to improving yield rates, addressing labor shortages, and reducing food waste by analyzing defect trends from inspection result data. This solution is attracting attention in the food manufacturing industry, where the criteria for shape and passing products are not uniform, and reliance on manual inspection has been necessary.
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basic information
■Features of the inspection-target specialized model "Y's-Eye Hamburger" 1: Inspection accuracy equivalent to the human eye Thanks to AI (deep learning) image analysis technology, criteria that cannot be uniformly determined by rule-based methods are modeled by AI. This is optimal for objects with significant individual differences, such as food. Not only does it eliminate variations in quality, but it also serves as a record for traceability. 2: Hygiene considerations with food-grade robots We adopted the Yaskawa Electric HC10DTFP, designed for installation on existing lines, utilizing a collaborative robot. It's compact and operates without barriers! Additionally, it is designed to withstand washing and is resistant to detergents. The hand is a Bernoulli-type hand, eliminating concerns about nozzle clogging. This is a combination focused on hygiene. 3: Reducing food waste through data utilization It's not just about automating inspection and elimination. By visualizing results, we can identify trends in defects and contribute to yield improvement. Utilizing data helps create a system that prevents defects while also reducing the defects themselves.
Price range
P7
Delivery Time
Applications/Examples of results
This is a model specialized in the visual inspection of frozen hamburgers. A video showcasing its operation with the actual machine is available on our website. Please take a look.
Detailed information
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This is the inspection result screen for appearance inspection using AI.
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This is an image diagram of when it was implemented in LINE.
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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 will provide optimal solutions to our customers by integrating 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 owned by YE DIGITAL.
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