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  4. Visual and image inspection equipment
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  6. Numerous inspection achievements in the food industry: Achieving high precision and stabilization in quality inspection with AI.

Numerous inspection achievements in the food industry: Achieving high precision and stabilization in quality inspection with AI.

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last updated:Dec 16, 2022

VRAIN Solution
VRAIN Solution
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"Foreign matter contamination," "processing defects," "printing verification" can be automated in food manufacturing inspections using AI!

In the food industry, quality inspection is crucial to deliver safe and secure products to customers. To achieve "high precision" and "stability" in quality inspection more than ever before, we have developed AI learning and verification software, **Phoenix Vision**, and AI visual inspection software, **Phoenix Eye**. **Examples of Inspections We Excel At:** ◆ Foreign object contamination ◆ Processing defects (such as burning) ◆ Packaging defects ◆ Printing errors ◆ Quantity inspection With our in-house development environment, we continuously incorporate the latest technologies and quickly bring products to market. We have numerous inspection achievements in the food industry, so if you are looking to review inspection processes or gather information about AI, please feel free to contact us. We will explain the benefits and examples of AI.

    Other appearance and image inspection equipment
イプロス_筐体.jpg

Numerous inspection achievements in the food industry: Achieving high precision and stabilization in quality inspection with AI.

イプロス_筐体.jpg
イプロス_筐体.jpg
  • Related Link - https://vrain.co.jp/phoenix-eye/

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basic information

Do you have any concerns like these regarding quality inspection? - "There are differences in inspection quality among inspectors during visual inspections." - "The accuracy of existing image inspection machines is poor." - "The inspection difficulty is high, and it can only be inspected visually." - "I want to eliminate dependence on individuals and improve productivity and efficiency." - "The settings for the image inspection machine are complicated, and we cannot set them up ourselves." - "It is difficult to handle a variety of small lots with conventional image inspection machines." - "I want to minimize human errors as much as possible." Purpose of introducing the AI visual inspection system [Phoenix] ◆ Automation of the inspection process ◆ Assurance of quality through improved inspection accuracy ◆ Yield improvement through accurate judgments ◆ Reduction of personnel for visual inspectors ◆ Capable of handling a variety of small lots ◆ Depending on the inspection items, it is possible to use a combination of AI and rule-based methods or switch between them. By utilizing AI in visual inspection, why not clear the challenges of visual inspections and conventional image inspection machines and aim for improved productivity? *To give you an idea of how to utilize AI for visual inspection, we are currently conducting free sample verifications. If you have any interest, please feel free to contact us.

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Purpose: Automation of the inspection process AI visual inspection is an image inspection method that utilizes deep learning technology. Specifically, it is a technique that automatically optimizes the parameters (weights) of a deep neural network so that the optimal result (NG) is output for the input image (defective area). In traditional inspection machines, system integrators would set the optimal rules (criteria) to build the model, but AI can automatically capture the characteristics of defective areas and construct the model. As a result, it can achieve a high recognition accuracy that surpasses human capabilities, even in cases where the surface conditions are complex and simple rules cannot be applied.

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VRAIN

VRAIN Solution

Other manufacturing

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Our company supports DX (Digital Transformation) in the manufacturing industry. Japanese manufacturing is facing significant challenges such as "intensified international competition" and "labor shortages," making the improvement of productivity through digital utilization increasingly necessary. However, the reality is that digital utilization is still not progressing on the ground. The reasons for this include various uncertainties such as: - "Not knowing when to utilize it" - "Not understanding the value of data utilization" - "Not knowing how to proceed" At VRAIN Solution, we aim to resolve the various uncertainties that companies face and realize their DX through consulting, AI algorithm provision, data analysis, AI application sales, system development, and a wide range of services utilizing the latest technologies. If you have any concerns or questions regarding DX, we would be happy to assist you.

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  • Other appearance and image inspection equipment
          

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