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

Features: ● 23.8-inch (1920 x 1080) TFT LCD display ● Equipped with 12th generation Intel Core i3-1215UE/i5-1245UE/i7-1265UE/Celeron 7305E processors ● DDR5 SODIMM memory, 2 slots (sold separately) ● Projected capacitive touch panel ● M.2 2280 M-Key × 1 (NVMe compatible) ● Aluminum chassis design ● Front panel compliant with IP65 (dustproof and waterproof) ● Fanless design ● Built-in VESA mount / panel mount bracket ● Wide range power input compatible with 9-30V DC ● AC adapter sold separately ● Memory, storage, and OS not included

Features: ● 27-inch (1920 x 1080) TFT LCD display ● Equipped with 12th generation Intel Core i3-1215UE/i5-1245UE/i7-1265UE/Celeron 7305E processors ● Memory DDR5 SODIMM 2 slots (sold separately) ● Projected capacitive touch panel ● M.2 2280 M-Key × 1 (NVMe compatible) ● Aluminum chassis design ● Front panel compliant with IP65 (dustproof and waterproof) ● Fanless design ● Built-in VESA mount / panel mount bracket ● Wide power input range of 9-30V DC ● AC adapter sold separately ● Memory, storage, OS not included

Features: ● 15-inch TFT LCD display (1024 x 768) ● Equipped with Intel N50/97 ● Projected capacitive multi-touch support ● Aluminum chassis design ● Front panel compliant with IP65 (dustproof and waterproof) ● Fanless structure ● VESA mount / mount bracket compatible ● Supports wide power input of 9-30V DC * No memory, storage, or OS included

The pinhole inspection for packaging engineering is fully automated, eliminating packaging defects based on certain quality standards. The judgment results and operational status can be managed via a monitor screen. - Quantitative management of quality standards for the pinhole inspection process - Ensuring the quality of the product's shelf life - Establishing evaluation criteria for the manufacturing process, achieving quantitative quality assurance - Slim and space-saving design that can be connected to existing production lines - Quick changeover for product variety switching can be handled in a short time by exchanging chambers - Fully domestically produced, allowing for rapid maintenance and troubleshooting - Example target works: pillow packaging, packaged rice (packaged cooked rice), etc. *Please consult us regarding the use of this product for pharmaceuticals.

Fukuda Co., Ltd. has been pursuing leak detection for 60 years and is committed to advancing the future of leak testing. 【 Supporting Various Leak Tests: Air Leak Test / Gas Leak Test (Hydrogen Gas, Helium Gas) 】 We develop, manufacture, and sell leak testing equipment to inspect airtightness and sealing properties. We will propose the appropriate testers and devices for each inspection target. 【 Target Industries and Examples of Inspection Targets 】 - Automotive Industry: Engines, FC components, valves and piping, various parts - Electronic Components Industry: Smartphones, keyless switches, various small sensors - Pharmaceuticals / Food / Cosmetics Industry: Bottle containers, syringes, vials, eye drop containers, pillow packaging, PTP packaging We will propose the most suitable leak testers for each industry. 【 ISO Certification 】JIS Q 9001:2015 (ISO 9001:2015)