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"CLAVI" is a cloud-based visual inspection system that utilizes AI technology to contribute to business efficiency, productivity improvement, and labor-saving in the field. It is designed to be affordable for small and medium-sized enterprises, with an initial investment of 200,000 yen and a monthly cloud service fee of 20,000 yen. It can be implemented on smartphones, tablets, and other devices equipped with cameras, allowing for simple operations to perform quantity inspections and identification tasks. 【Applicable Scenarios】 ◎ Counting parts, inventory tasks, and stock verification ◎ Identification tasks for scratches, dents, and other issues. It can also be used for checking non-standard shapes and missing items. *All displayed prices are exclusive of tax.
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Free membership registrationThe demand for appearance inspection using AI is increasing. However, it is generally large corporations that are utilizing it, and the penetration rate among small and medium-sized enterprises (SMEs) is low. One reason for this is that many SMEs consider the cost-effectiveness to be poor when thinking about replacing quantity inspection and identification tasks with AI instead of human workers. Additionally, the implementation cost of a typical AI appearance inspection system is around 10 million yen, which is quite high. As a result, there are cases where it is passed over due to a lack of cost-effectiveness. In this context, our company has succeeded in developing products at a low price that are easy for SMEs to implement. **Three Reasons Why CLAVI is Appreciated by SMEs:** - Achieving low prices that are easy for SMEs to adopt - Compact design that does not cause installation location issues - Simple operation that can be handled by on-site staff The materials provide a detailed explanation. There are also records of proven results, so please download and read them. *All displayed prices are exclusive of tax.*
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Free membership registrationAt Ryo-wa Co., Ltd., we offer free AI appearance inspection performance evaluations. Would you like to assess the capabilities of AI appearance inspection that have achieved what rule-based systems could not? Simply prepare dozens of good and defective product images along with test images and request the evaluation. You will be amazed by the results. Please feel free to contact us when you need our services. 【For customers like these】 ■ Previously attempted to automate appearance inspection with rule-based systems but failed ■ Camera inspections often result in over-detection, making it difficult to reduce personnel ■ Creating algorithms and setting thresholds when new product types are added has been challenging and could not be accomplished *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationImprovement of Quality and Production Volume SuaKIT's finely tuned deep learning model achieves inspection results with very high accuracy. The internal analytical processing of this deep learning algorithm enhances upstream quality, reducing overkill (excessive defect detection) and underkill (missed defects), thereby optimizing quality and yield. Cost Reduction By implementing an automated system, the frequency of unreliable manual inspections can be reduced. The ability to perform inspection tasks around the clock optimizes throughput and improves takt time to meet customer demand. SuaKIT's high detection rate also eliminates the need for additional expensive inspection hardware. Ensuring Reliable Verification Results SuaKIT's highly consistent inspections guarantee the same results across lines, shifts, and factories. The software archives images and documented results that can be verified and validated offline. This valuable data helps quality engineers optimize applications and understand abnormal results.
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Free membership registration"SuaKIT" is an image processing software that performs inspection and classification of complex materials and key components used in industries such as mobile phones, semiconductors, electronics, and automotive. It reduces the rates of overkill and underkill through high-precision inspection results and decreases the need for unstable manual inspections by automated systems. 【Features】 ■ Pixel labeling (classification) ■ Network options (segmentation) ■ Visual debugger (classification) ■ Continuous learning (single x classification) ■ Analysis of uncertain data *For more details, please refer to the PDF materials or feel free to contact us.
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Free membership registrationRyowa Co., Ltd. aims to achieve "easier," "any project," and "the last bastion of image processing" in visual inspection. Additionally, we are conducting "AI Visual Inspection Demo Webinars" tailored to your preferred schedule. Without joint participation from other companies, up to 100 participants from a single company can join. Although it is not yet publicly available, we plan to reveal some of the latest features in this webinar. *The tool will be either TEAM or Google Meet. 【Agenda】 1. Company Introduction 2. Differences between Existing Image Processing and AI Image Processing 3. Introduction of Deep Learning Products 4. Explanation of Judgment Method Tools 5. Deep Learning VS Existing Image Processing 6. Case Studies 7. Types of Licenses 8. Differences from Other Companies' Deep Learning 9. Introduction of Upcoming New Products 10. Q&A AI image processing will overcome projects that you had given up on in visual inspection! If you are interested in the webinar, please refer to the PDF materials and feel free to contact us.
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Free membership registrationThe AI appearance inspection execution system "R-Vision AI" is an image processing system that uses machine learning to analyze good product samples and extract differences as defective products. Until now, most appearance inspections have focused on emphasizing defective products to actively detect them, but this approach has led to the problem of over-detection, making threshold settings complicated. The R-Vision AI system was developed as a solution to this issue. It achieves an appearance inspection system that is closer to the human eye. AI can also solve challenges in tasks that have been difficult for image processing, such as sorting fruits and inspecting metal parts with hairline scratches. A significant feature is that it requires fewer images for machine learning compared to other AI systems. Typically, it can determine product quality with just about 30 images of good products for deep learning. Another feature is that the user interface is sophisticated and extremely user-friendly, allowing operators with basic skills to implement it effectively. AI image processing can overcome cases that were previously given up on in appearance inspections! *For more details, please refer to the PDF materials or feel free to contact us.
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Free membership registrationThe AI appearance inspection execution system "R-Vision AI" is an image processing system that uses machine learning to analyze good product samples and extract differences as defective products. Until now, many appearance inspections have focused on emphasizing defective products to actively detect them, which led to the problem of over-detection and complicated threshold settings. The R-Vision AI system was created as a solution to this issue. It achieves an appearance inspection system that is closer to the human eye. AI can also solve challenges in tasks that have been difficult for image processing, such as sorting fruits and inspecting metal parts with hairline scratches. A significant feature is that it requires fewer images for machine learning compared to other AI systems. Typically, it can determine the quality with just about 30 images of good products for deep learning. Another feature is that the user interface is refined and extremely user-friendly, allowing operators with basic skills to implement it. AI image processing can overcome cases that were previously given up on in appearance inspections! *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationThe AI appearance inspection execution system "R-Vision AI" is an image processing system that learns from good product samples and extracts differences as defective products. Until now, most appearance inspections have focused on emphasizing defective products and actively detecting them, which led to the problem of over-detection and complicated threshold settings. The R-Vision AI system was created as a solution to this issue, achieving an appearance inspection system that is closer to the human eye. It also resolves challenges in tasks that image processing has struggled with, such as sorting fruits and inspecting metal parts with hairline scratches. A significant feature is that it requires fewer images for machine learning compared to other AI systems; typically, only about 30 good product images are needed for deep learning to determine quality. Another feature is that the user interface is sophisticated and extremely user-friendly, allowing operators with basic skills to implement it. AI image processing can overcome cases that were previously given up on in appearance inspections! We are currently accepting free sample evaluations. *For more details, please contact us.
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Free membership registrationThe "RVAI-E1060" is an AI execution system specialized for image processing deep learning, capable of connecting up to four GigE cameras as standard. It has an excellent interface, allowing deep learning to be performed without the need for specialized engineers. This easy, high-performance, and high-speed execution system makes previously abandoned projects possible. 【Features】 ■ Equipped with GTX-1060 ■ Can connect up to four GigE cameras ■ Specialized for image processing deep learning ■ No specialized engineers required ■ Easy, high-performance, high-speed *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationThis document explains Ryowa's initiatives in image processing, including the repair of hydraulic equipment, comprehensive maintenance of hydraulic systems, hydraulic piping construction, design and manufacturing of hydraulic units, and AI visual inspection devices and AI image processing. It includes an overview of the features of Ryowa's front image processing control and explanations about AI image processing. [Contents] - Ryowa's initiatives in image processing - What is R-Vision? - Features of Ryowa's front image processing control - Next-generation image processing is AI - What is AI image processing? and more *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationThe "RVAI-L1080" is a dedicated AI teaching system specialized for image processing deep learning, capable of connecting up to four GigE cameras as standard. It features an excellent interface that allows deep learning to be conducted without the need for specialized engineers. This high-spec version makes previously abandoned projects possible, offering simplicity, high performance, and speed. 【Features】 ■ Equipped with GTX-1080 ■ Capable of connecting four GigE cameras ■ Specialized for image processing deep learning ■ No specialized engineers required ■ Simple, high performance, fast *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationOur company offers appearance inspection equipment that achieves cost reduction in inspections and quality improvement. We thoroughly listen to the needs of each customer and pay close attention to the operational environment, materials of the workpieces, and changes over time, making adjustments as much as possible through repeated iterations. Additionally, we employ AI image processing in our appearance inspections, enabling inspections that were previously deemed impossible. 【Features】 ■ Improved yield ■ Reduced inspection costs ■ Prevention of defective products ■ Elimination of complaints ■ Quality assurance ■ AI image processing *For more details, please download the PDF or feel free to contact us.
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