Image Analysis AI [TDSE Eye] Utilization Seminar - Streamlining Visual Inspection with AI!

Build AI models without programming! It is possible to visually confirm abnormal areas.

The use of AI requires specialized knowledge and tools, and in reality, it is limited to companies that have secured personnel knowledgeable in AI and IT. Our company has developed a modeling platform for image recognition AI called "TDSE Eye" and has begun offering various products necessary for real business. AI models can be built without programming (via a web interface), and AI will streamline visual inspections, such as maintenance work on equipment and quality checks of products. **Features of TDSE Eye:** - AI model construction without programming (web interface) - Continuously provides cutting-edge and beneficial image AI technology in a cloud environment - Anomaly detection AI is built using only normal images - It is possible to visually confirm the locations of anomalies - A portable AI server allows for anomaly degree calculation on edge devices like PCs *For more details, please refer to the PDF document or feel free to contact us.*

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Select only the products that require human inspection and automate the process! It's okay to inspect only a few percent of the total inspection count!

Visual inspection of defective products on production lines by humans involves a high workload and results in inconsistent inspection quality. Therefore, we first use AI to identify products with a high likelihood of defects. Only those selected products are then visually re-inspected by humans, ensuring consistent quality while reducing manpower. Our anomaly detection service, 'TDSE Eye', implements advanced algorithms to streamline visual inspections for maintenance tasks and product quality verification. [Case Overview] ■Challenges - Time and labor costs are high - The work is dependent on individuals, leading to inconsistencies in inspection quality ■Benefits - AI inspection selects only the products that require human inspection, reducing manpower - AI ensures consistent inspection quality *For more details, please refer to the PDF document or feel free to contact us.

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Automatically detect cracks and other issues using images captured by drones with AI! This makes work safer and more efficient.

Regular inspections of concrete deterioration (such as cracks) in tunnels and bridges conducted by human eyes are very time-consuming and can sometimes be dangerous. Therefore, we use images captured by drones to automatically detect cracks and other issues with AI, making the inspection process safer and more efficient. Our anomaly detection service, 'TDSE Eye', allows for the rapid construction of complex models in a cloud environment, enabling implementation and operation without specialized knowledge. 【Case Overview】 ■Challenges - Time and labor costs are high, the work is dependent on individuals, making technical knowledge transfer difficult, and there is a risk of falling debris from deteriorated areas. ■Benefits - Automation and reduction of inspection work through AI, maintaining consistent inspection quality with AI, and ensuring safety through drone imaging. *For more details, please refer to the PDF document or feel free to contact us.

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Improving work efficiency and reducing costs is possible! AI can detect inspections and checks instead of visual inspection.

"Veteran workers are relied upon, and inspections are personalized," "Visual inspections take time and human costs," "Unable to introduce AI due to lack of specialized knowledge," and other concerns will all be resolved by 'TDSE Eye.' AI will take over the visual inspections that have relied on humans until now, enabling efficiency and cost reduction in operations. It can be implemented and operated without specialized knowledge, and it can be built at low cost and in a short period. 【Features of TDSE Eye】 ■ Implementation of advanced algorithms ■ Streamlining visual inspections for equipment maintenance and product quality verification ■ By building AI models in the cloud, high-performance options are always available ■ Easy operation to build AI through a web interface ■ Offline execution of AI inference at the edge ■ Extensive track record in the field of image AI *For more details, please refer to the related links or feel free to contact us.

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Always providing cutting-edge beneficial image AI technology in a cloud environment! There is an introductory video that fully explains the features!

"TDSE Eye" is an anomaly detection service that streamlines visual inspection tasks, such as equipment maintenance and product quality verification, using AI. The specific areas of the identified images that are abnormal are quantified and can be visualized as a heatmap. Additionally, it is possible to run the AI model built in the cloud on edge devices like PCs that are disconnected from the network. 【Features】 ■ AI model construction without programming (Web interface) ■ Continuously provides cutting-edge beneficial image AI technology in a cloud environment - Anomaly detection AI is built solely on normal images - Allows for visual confirmation of abnormal areas ■ AI model can also be utilized on edge devices like PCs that are disconnected from the network *For more details, please refer to the PDF document or feel free to contact us.

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Carpets, leather products, bottles, etc.! Detecting any anomalies with unusual appearances (such as unknown foreign objects).

The appearance inspection system "TDSE Eye" determines abnormalities in various textures and objects. When it detects abnormalities such as chips, cracks, fraying, tears, or breaks, the degree of abnormality in the appearance of the image differs from the normal images used to create the model. There is also a possibility of detecting any unusual abnormalities with rare appearances (such as unknown foreign objects). Additionally, this product can be implemented and operated without specialized knowledge. It can build complex models in a short period in a cloud environment. 【Examples of Abnormal Detection (Partial)】 ＜Texture Types＞ ■ Carpet ■ Grid ■ Leather and leather products ■ Tile ■ Wood and more ＜Object Types＞ ■ Bottle ■ Cable ■ Capsule ■ Food ■ Wood ■ Tablet ■ Screw ■ Brush ■ Electronic components ■ Zipper and more *For more details, please refer to the related links or feel free to contact us.

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Train AI using only a small amount of normal images! Implementation and operation are possible without specialized knowledge.

The "TDSE Eye" is equipped with advanced algorithms that streamline visual inspections for equipment maintenance and product quality verification through visual tasks. When building AI with normal and abnormal images, the emergence of various abnormal states can prolong the image collection process, resulting in significant time required before implementation and operation can begin. This product trains AI using only a small number of normal images, allowing for quick and low-cost AI development. Since there is no need to prepare abnormal images, image collection is simplified. *If there are variations in the normal state, it is necessary to train all variations as normal. 【Features】 ■ AI built using only normal images ■ Implementation of advanced algorithms ■ Consistently high-performance anomaly detection AI ■ Can be implemented and operated without specialized knowledge ■ AI inference can be executed offline at the edge *For more details, please refer to the related links or feel free to contact us.

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By combining with a 360-degree camera, we can streamline the inspection of the product's interior! This reduces the costs of visual inspections for appearance checks and other quality confirmations.

In visual inspections, automating the inspection process is difficult due to the structure of iron pipes, resulting in high time and labor costs. By combining the abnormal detection service "TDSE Eye" with a 360-degree camera, we can detect abnormalities such as internal damage from the captured images and identify areas that require visual inspection. This eliminates the need to verify everything visually, achieving a reduction in labor and time costs. Additionally, our product allows for easy operation through a web interface to build AI, making it possible to implement and operate without specialized knowledge. 【Overview】 ■BEFORE - Automating the inspection process is difficult due to the structure of iron pipes - High time and labor costs ■AFTER - Efficiently capturing the interior with a 360-degree camera - Reducing labor and time costs by inspecting camera images with TDSE Eye *For more details, please refer to the related links or feel free to contact us.

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Only a few percent of the total inspections are needed! Implementation and operation are possible without specialized knowledge.

In human visual inspections, it is necessary to conduct a complete inspection, which incurs time and labor costs, and the work is subjective, leading to inconsistencies in inspection quality. By utilizing the abnormal detection service "TDSE Eye," we can automate the process by selecting only those products that require human inspection through AI inspections, thereby reducing labor. This allows us to maintain a consistent level of inspection quality. Additionally, this product can build complex models in a cloud environment in a short time and can execute AI inference offline at the edge. [Overview] ■ BEFORE - Time and labor costs are high - Work is subjective, leading to inconsistencies in inspection quality ■ AFTER - Automate by selecting only products that require human inspection through AI inspections - Maintain consistent inspection quality with AI *For more details, please refer to the related links or feel free to contact us.

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With drone images and TDSE Eye, we can conduct inspection work safely and securely!

In visual inspections of tunnel walls by humans, the work is subjective, making it difficult to transfer skills, and there is a risk of deterioration falling. By utilizing the abnormal detection service "TDSE Eye" and conducting inspections with drone images and AI, it is possible to standardize inspection quality and automate and reduce labor in the process. This product allows for easy operation through a web interface to build AI, and it can be implemented and operated without specialized knowledge. 【Overview】 ■BEFORE - Time and labor costs are high, work is subjective and skill transfer is difficult, and there is a risk of deterioration falling. ■AFTER - Automating and reducing labor in inspection work with AI, standardizing inspection quality with AI, and ensuring safety with drone photography. *For more details, please refer to the related links or feel free to contact us.

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Build complex models in a cloud environment in a short time! It's also easy to use AI from individual applications.

The anomaly detection service "TDSE Eye" provides access to always new, high-performance AI models by building them in the cloud. Model construction can be done using only a few normal images, eliminating the need to collect abnormal images. Additionally, by using a portable AI server, the AI models built in the cloud can be utilized on edge devices such as PCs that are disconnected from the network. It is also easy to use AI from individual applications. 【Five Reasons to Choose Us】 ■ Always new, high-performance anomaly detection AI ■ Can be implemented and operated without specialized knowledge ■ Built at low cost and in a short period ■ Offline execution of AI inference at the edge ■ Extensive track record in the field of image AI *For more details, please refer to the related links or feel free to contact us.

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Image recognition on cloud edge devices! We also offer system implementation and various support tailored to your company's environment.

"TDSE Eye" implements advanced algorithms to streamline maintenance operations of equipment and visual inspections of product quality. An AI model is built using only images of normal conditions. In the cloud, simply uploading images allows for the identification of abnormal images. On edge devices, abnormal image identification is performed by downloading the portable AI server and AI model. We also offer system implementation tailored to your company's environment and various support services, so please feel free to consult us when needed. 【Process until Implementation】 ■STEP 01: Prepare Images (If there are variations in normal conditions, images corresponding to all variations are required) ■STEP 02: Build AI Model ■STEP 03: Image Identification (Cloud and Edge Device Compatible) *For more details, please refer to the related links or feel free to contact us.

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Easily accessible AI from individual applications! Complex models can be built in a short time in a cloud environment!

The "TDSE Eye" is equipped with advanced algorithms that streamline visual inspections for equipment maintenance and product quality verification. By building AI models in the cloud, high-performance solutions are always available. AI can be constructed with simple operations through a web interface. Our company has handled numerous projects in the field of image AI, and this service reflects those experiences. 【Features】 ■ Always high-performance anomaly detection AI ■ Can be implemented and operated without specialized knowledge ■ Built at low cost and in a short period ■ AI inference can be executed offline at the edge ■ Extensive track record in the field of image AI *For more details, please refer to the PDF materials or feel free to contact us.

• Other security systems

We are pleased to announce the archive distribution of our seminar titled "New Plan 'Mojitori Plus' Debuts! From Paper to Data! The First Step Towards In-House DX with Mojitori." 'Mojitori' allows you to convert text from photos, images, PDF files, and more into data, automatically inputting it into various fields in kintone. In this seminar, we will clearly explain the basic functions and usage of Mojitori. Additionally, we will provide detailed explanations about the Plus plan and the document-focused Mojitori, which were added in the major update in November. 【Recommended for】 - Those who are struggling with frequent transcription errors due to manual data entry. - Those who wish to digitize items currently stored on paper. 【Timetable】 - Overview of Mojitori's functions - Overview of Mojitori Plus's functions - Details and pricing of each plan - Q&A session We look forward to your registration.

Is the performance report you are currently creating, which takes a tremendous amount of time and effort, appreciated by the management? Are you facing complaints from management such as: - The reports are coming out late (results from the previous month are reported around the 20th of the current month) - The reports are difficult to understand and hard to read - There is missing necessary information In this seminar, we will introduce a new system for managing performance information that addresses these issues, along with specific methods. The cost is free. We encourage you to participate. □ Seminar Content 1. What is performance improvement? 2. What information is useful for performance improvement? 3. How to view performance information 4. A system for automatically generating performance information and accessing necessary information when needed (Using our company's developed performance information management tool as a model)

Holding a management strategy seminar to "embed" generative AI and connect it to organizational outcomes! Are you facing challenges such as "not knowing how to use it," "lack of progress in utilization," or "not being embedded due to organizational rules and management" while advancing AI implementation? In this seminar, we will thoroughly explain the secrets to realizing an organization where AI operates autonomously, drawing from the generative AI training of Panhouse Co., Ltd. and the management methods of Shikigaku Co., Ltd. In particular, we will share specific case studies of the "Agent Model AI," which is gaining attention as a next-generation AI application, along with organizational design know-how for integrating generative AI into business, management pitfalls that hinder embedding, and their solutions, all accompanied by concrete examples. What you can learn in this seminar: - Experiences and case studies of Agent Model AI (exabase generative AI demo) - Initial preparations and design know-how to accelerate AI utilization - Key management points to break down organizational barriers that hinder AI embedding If you are in management or responsible for ensuring that generative AI becomes a "truly usable" system rather than just "trying it out," we encourage you to participate in this opportunity.

We are pleased to announce that Pan House Co., Ltd. will be participating in the online marketing conference "Data Driven Marketing 2026," which will be held from January 14 (Wednesday) to 16 (Friday), 2026. At this event, where professionals achieving results at the forefront will gather, our Chief Integration Officer, Tsubasa Kimura, will explain the new organizational approaches utilizing AI. Organizational Theory for "Maximum Effect with Minimal Effort" in the AI Era As AI technology rapidly evolves and the marketing environment changes significantly due to cookie regulations, relying on "past success experiences" and "intuition and experience" is reaching its limits. In this session, we will focus on how to utilize AI not just as a tool, but as a strategic infrastructure to build competitive advantages for organizations. We will discuss specific examples and methods on how to maximize the efficiency of marketing operations and establish an organizational structure that leads to results with minimal effort.

"Where should we start with AI implementation, and how can we expand it company-wide?" The reason for the slow progress in AI implementation is not the tools themselves. The key lies in project design that encompasses everything from creating guidelines to establishing a promotion system and turning success stories into models. In this webinar, we will systematically explain the types of AI implementation projects that successful companies practice to overcome the "zero-to-one barrier" and the "utilization promotion barrier." Both companies that have not yet implemented AI and those that are stagnating in their utilization will gain clarity on their respective starting points and take home actionable "answers at the action level" that can be executed starting tomorrow in just 60 minutes. Recommended for those facing the following challenges: This webinar is ideal for individuals in departments at the level of section chief or higher who want to promote AI implementation as a project. Companies that do not know how to "start" AI implementation (zero-to-one stage) Companies that have implemented generative AI but are experiencing stagnation in its utilization Companies lacking a driving force or where the initiative is not moving forward, struggling with individualization and the lack of established training Companies that are looking to expand company-wide but are unclear on how to horizontally deploy Companies considering the introduction of AI training (especially in the pre-approval stage)