[Seminar] CEO Kohei Yamamoto to present a pitch at "Innovation Field 2024": Introducing the latest technologies and application examples of exterior inspection AI and worker analysis AI, and sharing insights towards achieving open innovation and a sustainable society.

Significant efficiency improvements in manual processes with the help of AI! Analyzing work processes from videos of the manufacturing site.

What is Operator Analysis? Operator Analysis AI is an innovative tool that visualizes work on the manufacturing line in real-time and recorded footage, enabling efficient production processes. It can dramatically improve productivity and quality in manufacturing settings through accurate understanding of cycle times, optimization of process flows, improvement of work actions, optimization of personnel allocation, detection of work omissions, and estimation of work loads. Benefits of Work Analysis 1. Remarkable Efficiency - Eliminates waste through detailed analysis of work processes, significantly improving work efficiency. 2. Assurance of Top Quality - Reduces work omissions and errors through consistent procedures, dramatically enhancing product quality. 3. Improved Safety - Monitors work actions in real-time, allowing for early detection and correction of risky behaviors, thereby providing a safe working environment. 4. Cost Reduction - Reduces operational costs by eliminating unnecessary work and duplication, optimizing personnel and resources. Reasons to Choose Our Products We offer AI solutions specialized for the manufacturing industry, with extensive know-how and flexible customization options. We ensure transparency with XAI and QAAI technologies, achieving intuitive operability and rapid implementation. Our pre-validation minimizes risks and guarantees high implementation effectiveness.

• Image analysis software

Understanding the basis and risks of AI's judgments. Capable of learning from a small amount of data. Intuitive operation without the need for AI knowledge. Achieving continuous quality management that does not end with a PoC.

The practical "visual inspection AI" for manufacturing sites allows for high-precision learning and operation from a small amount of data with intuitive operation. It is a user-friendly and effective AI tool for site managers. Target Industries: Manufacturing (semiconductors, foundry, automotive, processed foods) / Chemicals / Pharmaceuticals Target Audience: - Production Management Department: Planning and managing production, improving production efficiency, reducing defective products - Production Technology Department: Optimizing production processes, introducing new technologies, maintaining equipment, utilizing automation technologies - Quality Control Department: Inspecting product quality, detecting and addressing defects, establishing quality assurance processes, confirming compliance with standards - DX Promotion Department: Promoting digital transformation, implementing AI, improving operations through data analysis - Companies that have already introduced image inspection machines and face challenges with over-detection Main Features: - Intuitive operation: No AI knowledge required. Easy from AI model creation to operation and quality management. - Learning from a small amount of data: Domain-specific data augmentation technology generates training data tailored to the on-site environment. - Quality management through visualization: XAI technology visualizes the reasoning behind AI decisions, making model improvement easier. - Quality verification for AI: QAAI enables quality verification of data and models, visualization, and management of change points.

• Visual Inspection Equipment

Easy operation even for AI beginners! A next-generation AI platform that realizes factory automation and quality control.

This is an AI platform designed for the manufacturing industry. By using this tool, you can achieve factory automation and labor reduction, while also easily managing quality control. It supports tasks such as visual inspections and analysis of worker behavior with AI, assisting operations on the shop floor. Why it’s good: It offers intuitive operation that can be used without specialized AI knowledge. It can learn from a small amount of data, making implementation easy. Additionally, it incorporates the following advanced technologies: - XAI (Explainable AI): Clarifies the reasoning behind AI decisions, allowing users to understand AI behavior. - QAAI (Quality Assurance AI): Generates data and verifies quality while considering environmental changes and disturbances, providing a stable AI model. Why explainability and robust AI are necessary: In manufacturing environments, it is crucial to understand how AI makes decisions. XAI enhances reliability by making the reasoning behind AI decisions explicit, allowing for safe operation. Furthermore, QAAI provides a robust model capable of responding to disturbances and environmental changes, ensuring stable performance on the shop floor. *For more details, please refer to the "Related Catalog" and contact us.*

• Image analysis software

In this seminar, we will briefly explain various methods and technologies for creating plastic molds using metal 3D printers, key points and considerations in manufacturing, and examples of fabrication. Following that, we will hear from leading users utilizing metal 3D printers from EOS, 3D Systems, Sodick, and Matsuura Machinery on advanced mold manufacturing technologies and examples, as well as factors for failure and secrets to success. First, we will discuss case studies that have achieved low-cost, high-quality manufacturing techniques and shortened lead times through complex shapes and integrated structures, hybrid manufacturing, and 3D cooling water pipe fabrication using EOS metal 3D printers at J-3D. Next, we will explain how ODEC has achieved overwhelming reductions in delivery times and cost savings in mold updates by manufacturing complex molds for resin molding with metal 3D printers, along with the latest fabrication examples and technologies for designing internal structures (3D water pipes), flow, and temperature simulations. Finally, we will provide specific explanations of how Sanko Gosei, a top player in the industry with its metal 3D printing capabilities for plastic mold manufacturing, has drastically reduced mold cooling times through 3D cooling water pipe fabrication, and how porous structures have effectively mitigated issues such as short shots and gas burn, as well as examples of reduced injection times.

In recent years, the costs of DX (digital transformation) have significantly decreased, and various examples of improving operational efficiency and automation in small and medium-sized manufacturing industries have emerged. One of the key points where DX has not yet progressed, but can achieve high efficiency at low cost, is the DX of the entire process from information collection and management on-site to application. In this seminar, we will introduce practical methods for promoting DX using two tools that can be actually utilized in the field of small and medium-sized manufacturing: the workflow system "AppRemo" that streamlines application approval processes, and the no-code tool "Platio" that allows for the creation of mobile apps to manage on-site operations. There is no need for complex system development or high investments. We will discuss specific plans for gradually advancing automation in an environment that can be easily operated by everyone on-site, along with case studies.

We will be exhibiting at FOOD Exhibition 2025, which will be held at Tokyo Big Sight from October 15 to 17, 2025. *The exhibition will take place within the booth of our partner company, Anritsu Corporation. We plan to showcase the taste recognition device TS-6000A on that day. Details are as follows: ◆ Event Details ・Date: October 15 (Wednesday) to 17 (Friday), 2025, 10:00 AM to 5:00 PM ・Venue: Tokyo Big Sight, East Hall ・Booth Number: To be determined (exhibiting at Anritsu Corporation's booth) ・Exhibition Content: Display and demonstration of the TS-6000A ・Official Website: https://www.food-exhibition.info/

This is a seminar hosted by our company that takes place every October. This year, three speakers will give presentations on the use of taste sensors and measurement examples. It has been decided to hold it on October 3rd. This year, it will also be held online (Zoom webinar). As soon as the details are finalized (around mid-September), we will announce the overview and open registration on our company website.

In the manufacturing and infrastructure industries, many on-site tasks such as maintenance, inspection, and testing still rely heavily on paper forms and manual data entry, with many sites not progressing in the digitalization and centralization of information. As a result, challenges such as "inability to grasp the on-site situation in real-time," "data being dispersed and not usable for analysis," and "input errors and omissions in forms" have become apparent. This webinar will introduce how to achieve digital transformation (DX) of on-site operations by rapidly building smartphone business applications using Asteria's no-code tool "Platio," and combining it with Morpho AI Solutions' AI-OCR, image analysis, and LLM technologies for the digitalization and automatic analysis of inspection sheets, photos, and reports. It is tailored for representatives of manufacturing and infrastructure-related companies who want to fundamentally change their on-site operations, escape from an analog culture, but find large-scale system implementation challenging.