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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.
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Free membership registrationIn the production field, quality inspection is an important process, and until now, visual inspection (inspection by human eyes) has been the mainstream method. While visual inspection can achieve high precision, it also faces many issues such as the occurrence of human error, management of inspectors' health, and a decrease in the number of inspectors due to declining birth rates. Additionally, there is a method of image inspection based on rules, but since there are inspections that it excels at and others it struggles with, there is a possibility that the accuracy may not improve even if it is implemented for certain inspections. To address the concerns of companies struggling with such inspection processes, we have developed an AI-powered visual inspection system called 【Phoenix】. By building a system that automatically inspects using AI, it is possible to achieve inspection accuracy that rivals even that of skilled inspectors. For more details, please download the materials. 【Phoenix】 has been implemented in various manufacturing companies, including top industry leaders in Japan, primarily in the automotive and food industries. If you are interested in reviewing your inspection processes or automating inspections using AI, please feel free to contact us. We will provide a thorough explanation, including case studies.
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Free membership registrationAre you having trouble with your current quality inspections? Visual inspections and rule-based inspections can be challenging, but utilizing the latest AI algorithms may provide a solution. Our AI visual inspection software, [Phoenix Vision/Eye], offers free validation tests. You can test how high the inspection accuracy can be when using AI, tailored to the challenges you face. Additionally, if the inspection accuracy is good during the test, we can also propose the optimal equipment setup (cameras, lighting, etc.) for implementation, if needed. By providing a one-stop solution, we hope to assist you in enhancing inspection accuracy and reducing labor costs while keeping expenses and delivery times down. Please feel free to reach out to us.
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Free membership registrationConventional abnormal noise inspections were conducted by inspectors based on sounds generated from the inspection targets to distinguish between good and defective products. Vibration inspections similarly relied on human senses. While human senses are very refined, they vary from person to person. Even experienced inspectors can have differences in their fine sensory perceptions, leading to discrepancies in inspection results and, consequently, variations in inspection quality. To eliminate variations in inspection quality, standardize quality, and further improve inspection accuracy, VRAIN Solution has developed AI learning and verification software, **Phoenix Vision**, and AI abnormal noise and vibration inspection software, **Phoenix Analyzer**. The main applications include: - Vibration inspection of components - Abnormal noise and vibration inspection of finished products such as electrical appliances and automobiles - Monitoring of factories and equipment (machinery) - Inspection of structures We anticipate implementing vibration inspections of components, abnormal noise and vibration inspections of finished products, and monitoring of factories and equipment (machinery) across various industries and products. If you are facing challenges with abnormal noise or vibration inspections or are interested in automating inspections using AI, please feel free to contact us. We will provide a thorough explanation, including examples of usage.
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Free membership registrationIn the production site, quality inspection is an important process. It has been found that companies face various challenges regarding "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 simple operation design. - Equipped with multiple AI algorithms, allowing for optimal learning suited to inspections. - Includes rule-based systems, enabling hybrid inspections. - Compatible with existing peripheral equipment. - Real-time inspection. Since we have a development environment in-house, we continuously incorporate the latest technologies and quickly commercialize products, equipping them with the latest AI algorithms. So far, we have implemented our solutions in various manufacturing companies, including leading companies in Japan's automotive and food industries. If you are looking into reviewing 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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