Roxy AI has been upgraded to v1.12.0. Achieving even higher precision!

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

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

The "Mechanical Stitching Method" by Nichinichisui Road Machinery Co., Ltd. is a new technique that allows for the repair of metal cracks without the application of heat. By using special bolts and reinforcement plates, cracks are physically removed, and repairs are made without causing any thermal impact on the base material. Repairs can be carried out even in environments where open flames cannot be used. Since no heat is applied, the disassembly of equipment is minimized. ◎ For more details, please contact us. ◎ If a detailed technical explanation is needed, please contact us.

The "Mechanical Stitching Method" by Nichinichisui Road Machinery Co., Ltd. is a new technique that allows for the repair of metal cracks without the application of heat. By using special bolts and reinforcement plates, cracks are physically removed, and repairs are made without affecting the base material with heat. Repairs can be carried out in environments where open flames cannot be used. Since no heat is applied, the disassembly of equipment is minimized. ◎ For more details, please contact us. ◎ If a detailed technical explanation is needed, please contact us.

● The production time for cast prototypes can be shortened! Since model making is not required, the production time for prototypes, which previously took about a month, can be significantly reduced. ● Model costs can be reduced! By directly producing sand molds from 3D data, there is no need for model production costs. If changes to the model are necessary, they can be addressed by modifying the 3D data. ● Similar products with different shapes and dimensions can be prototyped simultaneously! Different products, such as similar shapes or varying dimensions, can be molded at the same time in one molding process. This allows for the verification of multiple types in a short period.

Last month, we held a spring safety conference hosted by our company. We have compiled the details and atmosphere of the day into a PDF. We would appreciate it if you could take a moment to read it.

In recent years, as the importance of data integrity (DI) compliance in GMP environments has increased, there has been a growing call to deepen understanding of 21 CFR Part 11. This content introduces an on-demand presentation that organizes the background of Part 11, its relationship with DI, and its positioning in CSA guidance, while explaining the basic concepts of electronic records and electronic signatures. ■Content - Background and basic concepts of Part 11 - Relationship with data integrity (DI) - Positioning in CSA guidance - Basic requirements for electronic records/electronic signatures *This content is based on information as of March 17, 2026. *The information provided is intended for general informational purposes and does not guarantee specific compliance or suitability.