Achieve "high-precision inspection" with "easy operation." AI appearance inspection system [Phoenix] solves quality inspection challenges.
In the production field, quality inspection is an important process. It has been found that companies face various challenges such as "improving inspection quality" and "labor saving" in this quality inspection. To address the challenges of quality inspection faced by the manufacturing industry, we have developed AI learning and verification software, **Phoenix Vision**, and AI visual inspection software, **Phoenix Eye**. **Main Features** - Easy to use without any knowledge of AI due to its simple operation design. - Equipped with multiple AI algorithms, allowing for optimal learning suited for inspections. - Includes rule-based capabilities for hybrid inspections. - Can be integrated with existing peripheral equipment. - Real-time inspection. With a development environment established in-house, we continuously incorporate the latest technologies and quickly commercialize products, which allows us to utilize the latest AI algorithms. So far, we have implemented our solutions in various manufacturing companies, including top industry leaders in Japan, primarily in the automotive and food industries. If you are reviewing your inspection processes or gathering information about AI, please feel free to contact us. We will explain the benefits of AI and provide case studies.
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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 performed through visual inspection." - "I want to eliminate dependency on individuals and improve productivity and efficiency." - "The settings of the image inspection machine are complicated, and we cannot configure it ourselves." - "Handling a variety of small lots is difficult with conventional image inspection machines." - "I want to minimize human error as much as possible." Purpose of introducing the AI Appearance Inspection System [Phoenix] ◆ Automation of the inspection process ◆ Assurance of quality through improved inspection accuracy ◆ Improvement of yield through accurate judgments ◆ Reduction of personnel for visual inspectors ◆ Capability to handle a variety of small lots ◆ Possibility to use a combination of AI and rule-based methods or switch between them depending on inspection items By utilizing AI in appearance 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 in appearance inspection, we are currently conducting free sample evaluations. If you have any interest, please feel free to contact us.
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Applications/Examples of results
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 to produce the optimal result (NG) for input images (defective areas). In traditional inspection systems, system integrators would set the optimal rules (standards) to build models, but AI can automatically capture the characteristics of defective areas and construct models. As a result, it can achieve a high level of recognition accuracy that exceeds human capabilities, even in cases where the surface conditions are complex and simple rules cannot be applied. "Three" Benefits ◆ High robustness in inspections It can inspect complex surface conditions such as metals and fibers, as well as food with shape variations, without any issues. ◆ Reduces the risk of defective products being released and prevents large-scale losses Achieves high-precision inspections with the same inspection standards. ◆ Automation of inspections based on the standards of skilled inspectors Stable inspections are possible, leading to the standardization of inspection criteria and a reduction in adjustment workload.
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Inspection Case 1: Carpet Tear Inspection In conventional visual inspection systems, it was difficult to inspect products with gradations, as shown in the image, leading to numerous false detections. With [Phoenix], by training the latest AI equipped in the system to learn the characteristics of tears, it can detect only the defective areas without reacting to the patterned parts.
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Inspection Case 2: Bone Residue Inspection of Sausages It is possible to detect foreign objects and bones mixed inside sausages with high precision. By combining preprocessing technology with the latest AI algorithms, [Phoenix] has achieved high-precision detection of small bones and foreign objects.
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Inspection Case 3: Scratch Inspection on Steel Plates In cases where the inspection target has a complex surface, such as metal, traditional visual inspection systems tend to react to the variations in brightness of good parts, leading to unstable inspections. With [Phoenix], by training the AI only on the defects we want to detect, we can accurately identify only the defective items even in inspection targets with complex surfaces.
Company information
Our company supports DX (Digital Transformation) in the manufacturing industry. Japanese manufacturing is facing significant challenges such as "intensifying international competition" and "labor shortages," and there is a strong demand for productivity improvement through digital utilization. However, the reality is that digital utilization is still not progressing on the ground. The reasons for this include: - "Not knowing when to utilize it" - "Not understanding the value of data utilization" - "Not knowing how to proceed" We believe that there are various "unknowns" contributing to this situation. At VRAIN Solution, we aim to resolve the various "unknowns" that companies face and realize their DX through consulting, AI algorithm provision, data analysis, AI application sales, system development, and other services utilizing the latest technology. If you have any concerns or questions regarding DX, we would be happy to assist you.