Announcement of the First "Mojitori" Seminar

Achieving reduced human error risk and improved traceability through digitization from paper-based management.

♦Background At ISS Yamazaki Machinery, we are engaged in the task of cutting rod-shaped steel materials to lengths suitable for forging in our factory. In the process of cutting steel materials, we used to manually check information such as material type, diameter, and charge number (manufacturing number) visually, and manage it on paper cutting instruction sheets. Following incidents of non-conformance due to misidentification of steel material information on-site, we have been advancing business reforms aimed at supplementing visual checks and improving traceability. ♦Challenges - Misconceptions and misidentifications due to visual checks - Difficulty in investigating causes when foreign materials are mixed or non-conformances occur ♦Solution - Implemented a non-visual check function using kintone × Mojitori ♦Effects of Implementation - Supplemented visual check omissions through photo capture and automatic input - Strengthened evidence through photographic records and improved traceability - Expanded to other departments and factories, currently utilized in various operations

• Document and Data Management

Automatically read step counts from images and reduce transcription work.

♦Background Our company has implemented a program that allows employees to earn rewards based on their average steps per month to promote health. Each month, participants in the program copy the step count screen from their personal healthcare apps, convert it into an image, and register it as evidence in the kintone app. However, since the person in charge visually assesses the results from images of step count screens that differ in format across various apps, it has required about four hours of labor each month. ♦Challenges - The step count screens that serve as evidence vary by individual. - There is a risk of oversight in verification since the person in charge checks visually. - The monthly burden on the person in charge is significant. ♦Solution - Introduced Mojitori. - Reviewed the app's structure to make it easier to apply. ♦Effects of Implementation - Since it can read different screens, we were able to improve operations without significantly changing the current process. - Automatic input has helped prevent human errors. - Reduced labor by 50 hours annually.

• Document and Data Management

Easily manage inventory and equipment inspections with AI-OCR! Read text from images and PDFs and save it directly to kintone.

☆New☆ Update Information 2024.12 Support for reading multiple lines has been added. 2024.10 [Major Update] PDF reading capability has been added. 2024.8 Search character specification is now possible with adjacent reading and bottom reading. 2024.6 Added "Bottom Reading" function that can read below specified characters. 2024.4 Mojitori can now be used without a camera. "Mojitori" is a kintone plugin that can extract characters arranged in a specific format from photos and PDFs. It improves work efficiency by reducing transcription tasks and preventing input errors. 【It shines in these situations!】 ■ Equipment management: Alignment with management numbers ■ Inventory management: Item input for stocktaking ■ Checking of product labels ■ Input of values during inspections ■ Business card information registration ■ Identity document registration For more details, please download the catalog below and contact us.

• Document and Data Management

The Abrasive Technology Association is a society that comprehensively addresses technologies related to precision processing, including abrasive technology, tool technology, processing technology, processing machinery, measurement technology, and micro/nano processing technology. We will be giving a presentation titled "Enhancing Business Productivity through Tool Information Management" at the 2nd Research and Study Meeting of the Kansai Regional Chapter. We will also introduce the initiatives of Matsue Yamamoto Metal Co., Ltd., a WinTool user, at this event. If you are available on July 16, 2026, please consider participating.

A must-see for those considering the introduction of 3D printers! If you want to hear about practical examples, please take a look. ------ In recent years, 3D printers have been increasingly utilized in various fields such as prototype development, jig manufacturing, and small-lot production. However, many may have questions such as, "How does the printing process work?", "How can we utilize it in our company?", and "Which model should we choose?" This seminar will clearly introduce the basics of 3D printers as well as actual case studies. It is recommended not only for those who are considering the introduction of 3D printers but also for those who are already using them and want to expand their applications. ----- ◆ Recommended for: - Those considering the introduction of a 3D printer - Those who want to know the basic mechanisms of 3D printers - Those looking to improve efficiency in prototyping or jig manufacturing - Those who want to reference case studies from other companies - Those searching for a suitable 3D printer for their company Even if you cannot watch it in real-time, you can view the recorded session for one week after the event. We sincerely look forward to your participation! *This seminar will be held in an online format using Zoom.

The particle visualization technology developed under our brand "ViEST" has a very high level of detection sensitivity, capable of visualizing the suspended or adhered states of micro and nano-sized particles in real time. We are engaged in the sale of visualization systems and contract services for evaluation (investigating particles and airflow in production processes, inside and outside manufacturing equipment, evaluating the performance of cleaning products, proposing yield improvement measures, etc.) both domestically and internationally. In manufacturing environments, invisible fine foreign substances, dust generation, particle adhesion due to static electricity, and airflow disturbances can cause quality defects and reduced yield. Our company clarifies these contamination factors through visualization technology and provides consistent support from identifying the source of the problem to considering and confirming improvement measures. Do you have any of the following concerns? - Unable to identify the cause of foreign matter contamination - Want to check airflow and cleanliness in clean rooms - Want to understand dust generation from manufacturing equipment and transport systems - Want to reduce particle adhesion to films and substrates - Want to improve contamination that leads to reduced yield

[Lecturers] KPMG Consulting Co., Ltd. Executive Officer, Partner Kazushige Ikeda KPMG Consulting Co., Ltd. Technology Consulting Senior Consultant Kakeru Ota [Key Lecture Content] In recent years, AI has evolved beyond information processing in digital spaces, such as text generation and image recognition, to become Physical AI that perceives, judges, and acts in the real world by connecting with sensors, robots, vehicles, industrial equipment, and more. Physical AI is increasingly important across a wide range of fields, including manufacturing, as it addresses industrial challenges such as labor shortages, skill transfer, replacement of hazardous work, and productivity improvement. Additionally, foundational models, semiconductors, sensors, actuators, and robotics-related technologies that support Physical AI are becoming increasingly significant from the perspective of economic security, particularly in terms of responding to supply chain risks and securing and managing critical technologies. This lecture will organize the basic concepts and key technologies of Physical AI, discuss its potential applications in manufacturing and industrial sectors, outline practical considerations for implementation and operation, and explain the actions that companies should take moving forward.

[Instructor] Nobuyuki Oonaka, CEO of Bridge Inc., Project Designer [Key Lecture Content] "Why do new businesses often come to a halt?" The cause may not be a lack of ideas or talent. Through supporting over 300 new businesses and business developments, I have learned that what separates success from failure is "the structure of the organization"—specifically, how decisions are made, how dialogue occurs, and how assumptions are shared. In this seminar, based on the book "How to Create Self-Driving New Businesses" (Shoei-sha), we will analyze the "communication problems" that cause new businesses to stop as a structure. The goal is to develop a common language within the organization to identify "where we are stuck and what actions we should take." I will share how to use the "self-driving map" in practical terms.