Reduce the effort required for inspections! Simple setup and ready for immediate implementation! Compatible with various products. *Case studies available, and trial versions can also be provided.
The introduction of the appearance inspection system enables the identification of defects, but we have received many comments such as, "It's cumbersome to set up," "I'm tired of fine-tuning due to over-detection," and "I can't detect all types of defects at once." In response to such feedback, a new appearance inspection AI software called "Gemini eye SV," based on supervised learning, has been developed. You can set it according to inspection criteria such as, "If the judgment of this defect is ambiguous, it's okay to overlook it," or "I want to detect this defect more strictly," allowing for more efficient and powerful appearance inspections. It is widely available for those who want to easily try image inspection, as well as for those seriously considering deployment on actual production lines. *You can view case studies in the catalog. We also offer trial versions upon request. Please feel free to contact us.
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basic information
【Features】 ■ High speed and high precision ■ Easy to set up ■ Can be implemented immediately, with setup completed within a day 【Recommended for】 - Those who are tired of "over-detection" in existing systems - Those seeking a simple setup - Those looking for higher precision detection - Those searching for a system that can detect multiple defects simultaneously - Those who want to set confidence thresholds for defects more flexibly - Those who want to use it regardless of the product - Case studies of other companies' products - Those who want to refer to demo videos *Our company provides solutions not only for visual inspection but also for network construction, data analysis and utilization, and organizing and diagnosing issues related to paperless operations, digitization, and business efficiency. Please feel free to contact us for inquiries beyond visual inspection.
Price range
P5
Delivery Time
P1
Applications/Examples of results
【Product Features】 ■ High speed and high precision. Equipped with the latest AI algorithms. Processing speed is 5 times faster than conventional models! ■ Rich classification of defects! Capable of learning over 100 types of defects. ■ Setting is incredibly easy! Configuration is complete with just three parameters! ■ Displays with bounding boxes and confidence levels, allowing for a visual understanding of AI judgments. ■ AI learning is a breeze with a dedicated annotation tool! The work time per image is just 2 seconds. 【Examples of Achievements】 Implemented and considered in various industries. *For more details, please feel free to contact us.*
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The world of ICT has been continuously developing and evolving at a rapid pace. It has contributed to the creation of many values and has helped solve customer and societal issues, thereby contributing to the happiness of many people. The dramatic evolution of technology has greatly improved convenience and has facilitated many forms of human interaction that were previously impossible. However, over the past decade or so, I feel that significant changes have emerged in the world of ICT. While it brings happiness to people, it seems that the "side effects" that accompany it have become more pronounced than before. There has been an increase in crimes that exploit technology, an overflow of information, and it has become difficult to discern the truth. The development of social media has expanded the ways in which people communicate, but it has also brought various issues to the forefront, such as violations of human rights, privacy, and copyright. In the future, the field of ICT will continue to evolve rapidly, and its impact on society will also increase. Therefore, it is essential to engage in business while being aware of the negative aspects that such changes may create, and to consider how to mitigate these side effects while bringing happiness to people through ICT. I believe this is also a responsibility for those involved in ICT.
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