AI startup company Copy will exhibit at the 36th Monozukuri World Tokyo.

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

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

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

[Free Download] Includes Checklist: Guide to Utilizing IT Introduction Subsidies for AI Utilization

Utilize the free checklist to streamline the application process! This guide is an ideal resource for department heads and business owners who want to implement AI technology using IT introduction subsidies to reform their operations. By using detailed procedures, key points, and checklists, you can smoothly progress through the entire process from application to implementation and operation. Download this free guide now and take the first step towards business transformation with AI. 【Main Content and Features】 - Overview of subsidy utilization: The IT introduction subsidy supports a portion of the costs necessary for implementation, such as software purchases and cloud service usage fees. - Step-by-step application guide: Clearly explains the process from subsidy application to approval. A downloadable checklist helps prevent application mistakes. - Advantages and disadvantages of implementation: Discusses specific benefits of AI technology implementation and points to consider. - Specific information for target audiences: Content tailored for small and medium-sized enterprises in specific industries such as manufacturing, presenting the maximum subsidy rate and upper limit. - Target audience: Those involved in production management, quality control, and DX promotion in the manufacturing and logistics industries.

• Other inspection equipment and devices

The challenges of inefficiency and dependency on specific individuals in the document management tasks faced by many companies. Are manual errors and business stagnation becoming barriers to productivity improvement? In this seminar, we will introduce advanced approaches to visualizing management decisions using AI and automating and streamlining document management tasks, centered around SCSK Corporation's AI-native next-generation ERP "PROACTIVE," Asteria Corporation's no-code data integration tool "ASTERIA Warp," and Kokuyo Corporation's electronic document distribution system "@Tovas." We will also explain business flows that achieve depersonalization while presenting examples of automated business flows realized through solution integration.

Method for determining inspection standards, standard values, and safety factors based on economic risks Practical introduction to a method of consideration that prevents profit loss and does not rely on statistical distribution (loss function) 【Half-Day Intensive Seminar】 －－－－－－－－－－－－－－－－－－－－－－－－－－－－－ https://johokiko.co.jp/seminar_chemical/AD251101.php ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ We will inform you about upcoming technical seminars with discounted participation fees. If you would like to apply for each seminar with a discount, please contact ikuma.fukui@wmjplab.com. * The discount on participation fees is available to anyone. * However, we do not accept participation from technical consultants or instructors. * If you wish to have the same seminar as an in-house training, please contact me directly. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Robust Optimization Development Method to Solve the Four Major Challenges in Technology and Product Development: A Practical Introduction Learn through Comparison with Conventional Development Methods and Experimental Design Methods [Quality Engineering Parameter Design] [Software and Discussion Templates Available for Interested Parties] －－－－－－－－－－－－－－－－－－－－－－－－－－－－－ https://johokiko.co.jp/seminar_chemical/AD251102.php ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ We will inform you about upcoming technical seminars with discounts on participation fees. If you would like to apply for any seminar with a discount on the participation fee, please contact ikuma.fukui@wmjplab.com. * The discount on participation fees is available to anyone. * However, we do not accept applications from technical consultants or instructors. * If you wish to have an in-house training session for the same seminar, please contact me directly. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

This is a seminar co-hosted by NTT Data Business Brains and HeartCore. As HeartCore stands at the forefront of CMS and AI, we will discuss the future of content management and the perspectives required by companies. We will also share how to maximize operational efficiency and results through the implementation of CMS tailored to specific challenges. = For details and registration, click here = August 28, 2025 (Thursday) 12:00 PM - 12:35 PM Participation is free https://www.nttd-bb.com/event/smn20250828.html?utm_source=ipros&utm_medium=other&utm_campaign=20250812_sales 12:00 PM - 12:20 PM "How will CMS evolve in the era of 'AI changing the web'?" HeartCore Inc. 12:20 PM - 12:35 PM "Shall we maximize operational efficiency and results through CMS implementation tailored to challenges?" NTT Data Business Brains Inc.

The use of AI in the manufacturing industry has continued to evolve since the national projects of the 1980s, and now automation and efficiency improvements are advancing across a wide range of areas, from inspection tasks to parts design. However, in actual workplaces, there are many companies that find themselves unable to fully leverage AI and digital transformation (DX) due to past experiences of abandoning implementation due to technical constraints and reliance on paper or Excel for information management. These barriers to implementation are often attributed to a lack of resources such as technology, funding, and personnel, but recent advancements in no-code tools and AI specialized for specific fields have significantly lowered these hurdles. In this seminar, Futsupa Co., Ltd., which has developed and implemented AI solutions in numerous manufacturing sites, and Asteria Co., Ltd., which has supported field-led DX with no-code, will co-host a discussion on examples of efficiency improvements in manufacturing sites.