Free trial available for rust detection AI tool! Araya's image recognition AI development solution for the manufacturing industry.

Automatic detection of rust and corrosion on plants, bridges, and towers! Achieving cost reduction and improved inspection quality.

Araya's "Rust Detection AI Model" significantly shortens the process of inspecting images. Regular inspections and maintenance work require time and costs. Additionally, the quality of inspections can vary due to the skill level of the personnel conducting the image checks. By using this unique model provided by Araya, these costs can be greatly reduced, and the quality of inspections can be improved. [For the following issues] ■ Shortage of inspection personnel ■ Deterioration of inspection quality ■ Increased inspection frequency leading to cost increases *For more details, please refer to the related links or feel free to contact us.

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Araya is making proposals and developments that are close to our customers' challenges in order to realize "AI that can truly be used in business"!

In the infrastructure industry, an increasing number of companies are considering the introduction of AI due to issues such as labor shortages and the transfer of technology. Our company also supports the introduction of AI for infrastructure inspections, and there are ongoing initiatives aimed at field operations. Among those considering the introduction of AI for infrastructure inspections, there may be individuals who struggle with the inability to envision specific applications and effects of AI, leading them to hesitate in making the decision to implement it. Therefore, this article will introduce the benefits of utilizing AI for infrastructure inspections and actual case studies of implementation. If you are considering the use of AI in inspection operations, please read on until the end. *Detailed information about the case studies can be viewed through the related links. For more information, feel free to contact us.*

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AI solves confirmation tasks and video/image analysis! Supporting the resolution of labor shortages through improved operational efficiency.

Araya provides solutions that utilize image recognition AI to detect rust, cracks, and other issues. Based on footage from surveillance cameras and mobile devices, it automatically detects specific objects and dangerous behaviors, allowing for real-time awareness and recording of hazardous situations, thereby streamlining safety management operations. By supplementing risk predictions that relied on the experience and know-how of skilled workers, it enables semi-automation of monitoring tasks, which is expected to alleviate labor shortages and improve safety. 【For these challenges】 ■ Want to maintain inspection quality but lack skilled workers ■ Want to reduce labor costs in safety management at work sites ■ Want to improve operational efficiency to enhance competitiveness *For more details, please refer to the related links or feel free to contact us.

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Utilizing multiple cameras and image recognition AI! Tracking is possible even when you are positioned away from the camera.

At Araya, we utilize image recognition AI to detect moving individuals, acquire location information, and provide visualization solutions. By analyzing the flow and movement of people, it can be used to improve store operations, marketing, and the efficiency of tasks in factories and warehouses. Additionally, we offer data analysis to leverage the results for marketing and operational efficiency. 【Features】 ■ Analysis combining the movement patterns of individuals with attributes such as age and gender is possible. ■ Applications and services can be customized to meet customer needs. ■ Edge AI technology is applied, allowing for add-ons to existing camera systems. *For more details, please refer to the related links or feel free to contact us.

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Proposing solutions tailored to customer challenges with a proven track record of rich edge device implementations!

We support the development of suitable edge AI tailored to your challenges. We solve issues such as "I want to create an AI model suitable for the device," "I am concerned about implementation on the device," and "I deployed it on the device, but it is not performing well." Alaya has a wealth of experience in partnerships with manufacturers, IT companies, and trading firms. Please feel free to contact us when needed. 【Challenges We Address】 ■ I have trained the model, but I am anxious about implementing it on the device for the first time. - We provide total support from requirement definition tailored to your objectives. ■ I struggle with selecting the appropriate device and implementing it for each device. - Optimization of the model suitable for the edge environment you want to deploy. ■ The model is too large to fit on the intended device. - Review the current implementation and make the model lighter and smaller. *For more details, please refer to the related links or feel free to contact us.

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GPUs and AI accelerators are becoming mainstream hardware used in edge AI!

Edge AI refers to running "AI models" on "edge devices" used on-site rather than in the cloud. In recent years, Edge AI has gained attention, and its use cases are increasing. We have also seen a rise in inquiries from customers regarding consulting and implementation requests for Edge AI. Based on our practical experience in Edge AI development and implementation, this article is part of a two-part series that will convey trends in Edge AI technology and points to consider during implementation. *For detailed content of the article, please refer to the related links. Feel free to contact us for more information.*

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Explaining points such as merits and demerits, trade-offs between speed and accuracy!

In recent years, "Edge AI," which implements AI models on edge devices used in the field, has gained attention, and the number of use cases is increasing. Our company has also seen an increase in inquiries from customers regarding consulting and implementation requests for Edge AI. Based on our practical experience in Edge AI development and implementation, this article is part of a two-part series that will convey the trends in Edge AI technology and the points to consider during implementation. When implementing Edge AI, there are actually both advantages and disadvantages. Therefore, the first point to consider is to examine both the advantages and disadvantages of implementing Edge AI, and to proceed with implementation on edge devices only when the advantages outweigh the disadvantages. *For detailed content of the article, please refer to the related links. For more information, feel free to contact us.

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Rust and corrosion occurring on bridges and towers can be detected using image recognition AI.

Our company provides solutions that utilize image recognition AI to detect rust, cracks, and other issues. With our rust/corrosion detection AI, it is also possible to categorize inspection results based on the degree and area of rust. In recent years, the aging of various infrastructure structures has progressed, increasing the importance of inspections. However, inspections conducted by humans can be time-consuming, labor-intensive, and sometimes dangerous, leading to a demand for improved inspection efficiency and reduced manpower. Please contact us if you require our services. 【Features of Image Recognition AI】 ■ Rust/Corrosion Detection AI - Detection of rust and corrosion occurring on structures such as bridges and transmission towers using image recognition AI - Capable of categorizing inspection results based on the degree and area of rust ■ Crack Detection AI - Detection of cracks occurring in materials such as concrete using image recognition AI - Capable of detecting cracks as small as approximately 0.2mm *For more details, please refer to the related links or feel free to contact us.

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• Information and communication equipment and infrastructure

Introducing the mechanism and applications of generative AI that can understand images and language!

Currently, the development of artificial intelligence (AI) is progressing rapidly, and in particular, Vision Language Models (VLM), which can process visual information in combination with language information, are providing new possibilities for businesses. This article will introduce the overview and structure of VLM, as well as its impact on business. VLM is a technology that can tackle complex tasks that traditional image recognition techniques could not handle by associating visual information, such as images and videos, with language information represented in text. *For more detailed information, please refer to the related links. Feel free to contact us for more details.*

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The combination of AI and advanced hardware further enhances the ability for 3D reconstruction!

3D reconstruction is a field that has gained attention in recent years, and its popularity is rapidly increasing due to the development of innovative technologies such as Neural Radiance Fields (NeRF) and Gaussian Splatting. These advancements have made it possible to accurately digitally represent physical objects and environments, bringing transformation to various industries. This article will explain how 3D reconstruction technology can solve existing challenges and how advanced technologies can bring about innovation. *For more details, you can view the related links. Please feel free to contact us for more information.*

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Explaining how to utilize AI to enhance safety management and prevent contact accidents!

In manufacturing factories and warehouses in the logistics and transportation industries, various vehicles for transportation and operations, such as forklifts, trucks, AGVs (Automated Guided Vehicles), and AMRs (Autonomous Mobile Robots), are frequently in operation. Additionally, in construction sites within the construction industry, vehicles such as cranes and heavy machinery, as well as dump trucks, are utilized. In each of these environments, vehicles and people share the same space, leading to a high risk of contact and often resulting in serious accidents. In particular, among labor accidents caused by forklifts, incidents due to "being caught or entangled" and "collisions" account for over 60% of the total, with nearly half of these cases resulting in fatalities. *For more detailed information, please refer to the related links. Feel free to contact us for further inquiries.*

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Significantly reduced the selection time! We were able to greatly decrease the number of image points to be checked.

We would like to introduce a case where AI was implemented to extract suitable images that meet the criteria for media publication from a large number of images taken during sports matches. In the case of our client, they traditionally took a large number of photos during sports matches and manually extracted suitable images that met criteria such as "full body is visible" and "sports equipment is visible." However, this selection process was time-consuming, and there was a demand for quicker extraction. To solve this issue, we created a system where AI extracts images that meet the criteria from thousands of target images, significantly reducing the number of images that need to be reviewed. For inquiries about the implementation of AI for the efficiency and automation of image and video-related tasks, please feel free to consult with Araya. [Effects After AI Implementation] ■ Significant reduction in selection time ■ Almost no time required for extraction *For more details, please refer to the PDF document or feel free to contact us.

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• Process Control System

Are you making progress on measures for the "2024 Problem"? The management of drivers' working hours is becoming stricter, and in the logistics field, reducing "waiting time for loading" has become an urgent issue. To address this challenge, our company, Hotron, proposes the "Vehicle Detection Ultrasonic Sensor 'HM-UX2'," which instantly grasps the availability of loading bays. The 'HM-UX2' contributes to the resolution of waiting times by accurately understanding the availability status, reducing unnecessary waiting and queuing, and shortening waiting times, thereby alleviating the burden on drivers! By replacing the "eyes" of your loading bay management with this high-precision sensor, why not start taking measures against the "2024 Problem"? Take a look at the product features: "Can it accurately detect availability?" "Can we really use it in our company?" "I just want to know the cost, even if it's an estimate." If you have any questions or requests, please feel free to consult us first.

As a result of the conformity assessment audit of the Information Security Management System (ISMS), which is a management system standard, it has been proven that we comply with the requirements set forth by ISO/IEC, and the following audit registration certificate has been issued: JIP-ISMS517-1.0 (ISO/IEC 27017:2015) Scope of Application * Cloud Service Provider: Provision of "CaaS Cloud" This is based on the general information security standard ISO 27001 (ISMS) and includes additional management measures to address threats and risks specific to cloud services.

The non-contact beam touch sensor "HA-T401/HA-T520" has a compact detection range, making it an ideal automatic door sensor for installation on automatic doors facing narrow corridors or busy streets. Depending on the application and installation location, you can choose between "non-vision mounting type" and "non-vision built-in type." 【Features】 ● With the beam touch sensor, you can open and close the automatic door simply by bringing your hand close without touching it, ensuring hygiene. ● Depending on the installation environment, such as single sliding or bi-parting doors, the detection range can be set in four configurations: left, center, right, and a total of 12 spots. ● Two types of activation row settings are available to reduce unnecessary opening and closing of the automatic door due to cross traffic, contributing to energy-saving effects. ● The touch switch and infrared sensor are integrated, allowing for a switch between beam touch and infrared sensor with a single model. 【Recommended for such locations!】 ☑ Entrance facing a busy corridor ☑ Counter or sign near the door ☑ Buildings facing narrow corridors ☑ Buildings that prioritize aesthetics ☑ Hospitals and facilities that consider hygiene ☑ Large facilities with many doors ◎ For more details, please download the materials or contact us.

We have released a case study-type assessment trial version that can be used for reviewing promotion, recruitment selection, and training measures for HR and education personnel. It can be helpful for organizing the challenges of your company's talent and identifying potential next-generation leaders. Please download it for free first and consider how to utilize it in the field.

NTT TechnoCross Corporation (Headquarters: Minato-ku, Tokyo, President: Atsuko Oka, hereinafter referred to as "NTT TechnoCross") will start providing a new version of its health management system "HM-neo" with a meeting record summarization feature powered by generative AI from April 1, 2025 (scheduled).