Roxy AI has been upgraded to version 1.11. Achieving even higher accuracy!

Additional inspection of defects that are difficult to detect with rule-based methods using Roxy AI.

KEYENCE products are utilized in every conceivable field. By simply adding Roxy AI, the possibilities for inspection expand. The combination of KEYENCE products and Roxy AI leverages the strengths of both. ■ Upgrading existing inspection systems - Add AI inspection to inspection systems composed of CV-X and XG-X without coding. * Compatible with CV and XG series as well. - By using AI to re-inspect areas detected through image inspection, it is also possible to reduce false positives. ■ Utilizing KEYENCE's rich lighting and image processing capabilities for AI inspection - LumiTrax can instantly capture various images, such as specular and diffuse reflection images. It is possible to simultaneously learn and inspect multiple images taken with LumiTrax. - Supports multi-spectral images using infrared and ultraviolet colors. ■ Flexibly accommodating high-speed inspections and complex systems - Achieve high-speed inspections by combining with the VJ series cameras for machine vision. - Seamlessly integrate with KEYENCE's KV series PLC without coding. ■ Suitable for inspecting small, difficult-to-capture irregularities - Compatible with the LJ series, which measures height information using lasers.

• PLC

Roxy AI, which can be mastered even by non-engineers. See how it differs from other appearance inspection AIs.

Unless it is an extremely simple test, a perfect AI cannot be created in just one learning session, so it is very important to improve accuracy. Many AI inspection products create AI using one of the following methods: - Utilizing AI know-how to repeatedly tune parameters to improve accuracy - A simple one-click process for anyone. If the accuracy is poor, data is endlessly collected Just as studying from incorrect or ambiguous textbooks does not improve grades, the quality of learning data is critically important for improving AI accuracy. At Roxy AI, we enhance accuracy by organizing the learning data. Roxy AI has many unique features, such as: - Automatic extraction of potentially inappropriate data (during/after learning) - Highly efficient annotation that is error-proof for anyone - One-click deletion/replacement of inappropriate data - One-click augmentation of missing data - Extraction of inconsistencies between learning data and test data There are many other innovations as well. Please download the PDF to see the details.

• Other inspection equipment and devices

High speed and high precision are a given! The appearance inspection software 'Roxy AI' that can be expertly used on-site.

Roxy AI is an AI inspection product that can be effectively utilized on-site. Roxy AI is not a "multifunctional" product, but rather aims to be "simple and high-performance." By limiting its functions and leveraging unique technologies that are optimal for those functions, it achieves high precision and speed. Additionally, by narrowing down its features, it has become a product that anyone can easily use. ■ Create high-precision AI inspections on-site Roxy AI organizes data (images of the inspection targets) to train the AI. The person who understands the data best can create the best AI. ■ No AI expertise required With overwhelmingly simple one-click annotation, visualization of learning progress, and a step-by-step AI creation process that reliably improves accuracy, it is packed with unique features that anyone can easily use. ■ Applicable for a wide range of uses It achieves high precision not only in defect inspections but also in detecting foreign substances and residues. It is suitable for various industries, including not just manufacturing but also food products and lumber.

• Other inspection equipment and devices

As shown in the sample video, Roxy AI is highly accurate. Here, we introduce the concept of Roxy AI, which enables high-precision inspections.

- A simple AI focused on necessary functions It can only detect defects, identify types of defects, and detect unknown defects. It cannot measure the size of defects, nor does it have functions like OCR. High accuracy is achieved with a proprietary AI optimized for simple tasks. - Learning features of both normal and defective products By learning both normal and defective products together, it accurately understands the boundaries. Learning only with normal products is appealing to customers who do not have defective products. However, to make a decision on implementation, isn't it necessary to collect a certain number of defective products? If so, I would like to improve accuracy by making a bit more effort to collect defective products. This is Roxy's thinking. - A thorough process to eliminate inappropriate training data If there are errors in the training data, the AI will learn those errors as well. By detecting and organizing inappropriate data in various ways, we prevent the creation of a distorted AI. - Annotation that eliminates mistakes regardless of who does it Annotation involves simply clicking near the defect. Even if there is a slight deviation, it does not affect accuracy. No special technique is required. All that is needed is the experience of the inspector to accurately determine whether it is a defect or not.

• Visual Inspection Equipment

Not just cost reduction! Various benefits of automated inspection.

Transitioning from visual inspection to automated inspection offers many benefits beyond cost reduction. ■ Labor Savings - Freeing valuable personnel from simple tasks and shifting them to higher value-added work - Improving the 'crowded' environment of inspection areas - Preparing for the impending labor shortage in the near future ■ Stabilization of Inspection Quality - Eliminating variations among inspectors to stabilize inspection quality - Eradicating human errors that inevitably occur - Reducing excessive detections that tend to occur as inspectors gain experience ■ Increased Operation Without Relying on Human Labor, Horizontal Expansion - Achieving 24/7 operation - Realizing horizontal and overseas expansion by AI-izing the experience of skilled inspectors ■ Improvement of Manufacturing Processes Without Relying on Memory - Accumulating inspection evidence that serves as a reference during problem occurrences The benefits mentioned here are not limited to Roxy AI, but with Roxy AI's high speed, high precision, ease of learning, and easy system integration, these benefits can be maximized.

• Visual Inspection Equipment

High speed and high precision are a given! Introducing the AI inspection product "RoxyAI" that can be effectively utilized on-site!

Roxy AI not only detects defects but also excels in foreign object contamination inspection and residue testing. It can inspect complex and diverse products and detect ambiguous defects, thereby expanding its range of applications. ■ Defect Detection - AI automatically learns judgment methods that cannot be standardized by humans. - No problem even if there are multiple types of defects such as dents, scratches, and line marks. - Any material can be inspected as long as it can be photographed, including metal, resin, and glass. - Capable of detecting not only learned defects but also unknown defects. ■ Foreign Object Contamination Detection - High-precision inspection of complex and diverse products that are difficult to assess with rule-based methods. - Detection of metal fragments, hair, insects, etc., that may be mixed in food and agricultural products. - Inspection to ensure that no similar-shaped foreign products are mixed in. ■ Residue Detection - No problem even with a lot of oil, dust, or water droplets. - Reduces the risk of defect outflow using the function to detect unknown defects. - Checks the normality of production equipment such as conveyors and verifies the cleanliness of dishes. Here are some examples of what can be achieved! Please feel free to contact us for more details.

• Visual Inspection Equipment

Please give the unique concept AI appearance inspection product "Roxy AI," which creates high-quality AI by organizing data, a try.

If you fit the following criteria, we encourage you to try the trial version of Roxy AI: - You want to stop visual inspections and automate the testing process. - You want to add sensory inspections to rule-based testing. - You feel limited by learning from normal products. - You have not had favorable results with other companies' AI inspection products. The trial period is one month. During the trial period, you can use all features. Additionally, the environment and AI models created during the trial version can continue to be used after purchasing a formal license. If you have a PC equipped with an NVIDIA GPU, you can start testing right away. (Please download the PDF to check the recommended specifications, etc.) If you do not have a PC with a GPU, JTG Corporation offers rental (for a fee) of PCs with Roxy AI pre-installed, so please feel free to contact us.

• Other inspection equipment and devices

Just select and arrange the parts. Even complex inspection sequences can be easily set up.

Are you choosing AI inspection software based solely on product price? Are you overlooking the "custom development for system integration" that is necessary during implementation? Roxy AI is equipped with a rich set of interfaces, allowing for no-code connections with many devices. Since "custom development for system integration" is not required, you can reduce the total cost of implementation. ■ Abundant input interfaces - Connects to cameras via GigE Vision, USB, and FTP - Integrates with various applications through files, APIs (C#/Python), and sockets ■ Control interfaces enabling flexible configurations - Supports EtherNet/IP and SLMP, allowing for immediate connection to PLCs - Also compatible with DIO and sockets, making integration with robots easy ■ No-code configuration - Set up complex inspection sequences easily with a simple GUI - Easily deploy AI models from the learning environment to the inspection environment ■ Further expandability - Source code for features outside the core inspection functionality is publicly available, allowing for customization - You can create add-ons to incorporate your own preprocessing and rule-based inspections * Programming is required for add-on development.

• Articulated Robot

Are you making progress on measures for the "2024 Problem"? With stricter management of drivers' working hours, reducing "waiting time" has become an urgent issue in the logistics field. To address this challenge, our company, Hotron, proposes the "Vehicle Detection Ultrasonic Sensor 'HM-UX2'," which instantly grasps the availability of loading bays. The 'HM-UX2' contributes to the resolution of waiting times by accurately understanding the availability situation, reducing unnecessary waiting and queueing, and shortening waiting times to alleviate the burden on drivers! By replacing the "eyes" of your loading bay management with this high-precision sensor, why not start addressing the "2024 Problem"? Take a look at the product features: "Can it accurately detect availability?" "Can we really use it in our company?" "I just want to know the cost, even if it's an estimate." If you have any questions or requests, please feel free to consult with us.

Tokyo, August 7, 2025 - (JCN Newswire) - Anthropic, an AI research and development company that develops the cutting-edge AI model Claude, announced today the appointment of Hidetoshi Tojo as the Representative Executive Officer and President of its Japanese subsidiary. Tojo has extensive experience driving growth for technology companies in Japan, most recently serving as the President and Executive Officer of Snowflake's Japanese subsidiary, where he was involved from the launch of the business and achieved significant growth. He has also contributed to the advancement of data utilization in major Japanese companies by closely collaborating with various system integrators. Additionally, he has experience leading teams at Google Cloud Japan and Microsoft, both at their U.S. headquarters and Japanese subsidiaries. For more details, please refer to: https://acnnewswire.com/press-release/japanese/101731/

We sincerely apologize for the inconvenience, but Asano Co., Ltd. will be closed for summer vacation during the following period. We appreciate your understanding. Closure Period: August 13, 2025 (Wednesday) to August 17, 2025 (Sunday) Reopening: August 18, 2025 (Monday) <Inquiries> We will respond sequentially starting from August 18, 2025 (Monday). Asano Co., Ltd. is a manufacturer that supports the development of mobility parts, including automobiles, motorcycles, bicycles, aircraft, and space rockets. We conduct in-house integrated production of sheet metal, plastic, and composite products. We offer proposals for hybrid molding and multi-material bonding, among others. ■ Inquiries ■ Asano Co., Ltd. Headquarters and Gunma Factory 2718-1 Sanwa-cho, Isesaki City, Gunma Prefecture, 372-0011 TEL: 0270-75-1700 FAX: 0270-75-1600 MAIL: salesg@asano-japan.com Official YouTube Channel: https://www.youtube.com/@asano-japan

Newly released: Contact Angle Meter Entry Mini Kit Model, Amazon Exclusive Model JISR3257 compliant, includes θ/2 method and contact angle analysis software. Windows PC sold separately. Complete product priced at ¥399,300 (tax included). At the same time, we have started selling individual components for the contact angle meter kit as an Amazon exclusive model: "θ/2 Method Contact Angle Analysis Software" Kit 1, "Stage + Backlight + Housing" Kit 2, and "Dedicated USB Camera" Kit 3. The contact angle meter can be integrated into the device, allowing for the combination of "θ/2 Method Contact Angle Analysis Software" Kit 1 and "Dedicated USB Camera" Kit 3 for applications. Only the necessary elements such as software and camera can be combined. These models are exclusive to Amazon and will be sold and shipped by Amazon.co.jp.

Our company, NICS Corporation (Headquarters: 1-11-1 Uno, Tamano City, Okayama Prefecture, President: Shinichiro Yamane), had an employee featured in the special article "New Star ★ Running" in the local economy section of the Sanyo Shimbun dated August 7.