アラヤ List of Products and Services

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.

• Other Software

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.*

• Other Software

At Araya, we are developing AI to achieve automation (autonomous control) of construction machinery and similar equipment. With the decrease in the labor force due to declining birth rates, there is a growing demand for improved efficiency in construction work. Additionally, the aging of skilled technicians handling construction machinery is progressing, increasing the need for technology transfer. In response to these challenges, Araya aims to realize autonomous construction machinery (autonomous machines) that can perform tasks autonomously and efficiently by applying reinforcement learning and imitation learning, which are types of AI technology. [Overview] ■ Current achievements: Excavation of soil using hydraulic excavators ■ Other examples of construction machinery usage: - Embankment and leveling with bulldozers - Loading and unloading containers with gantry (port) cranes - Loading, unloading, and transporting goods with forklifts *For more details, please refer to the related links or feel free to contact us.

• Other Software

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.

• Other Software

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.

• Other Software

This product is a BIM/CIM integrated crane simulator that enables three-dimensional crane planning using BIM/CIM data. By utilizing collision detection, lifting capacity assessment, and video visualization of load transportation, the planning process is made more efficient. It can be installed on the user's computer and used in the user's environment. Users can input their BIM/CIM data and point cloud data, and use various functions to conduct planning assessments on the Unity simulator. 【Usage Flow】 1. Installation 2. Data Input 3. Condition Setting 4. Planning Assessment 5. Output of Assessment Results 6. Sharing *For more details, please refer to the related links or feel free to contact us.

• Scientific Calculation and Simulation Software

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.

• Other Software
• Information and communication equipment and infrastructure

SLAM (Simultaneous Localization and Mapping) refers to a technology that allows mobile entities such as robots to simultaneously perform self-localization and create environmental maps. Areas where SLAM is beneficial include autonomous driving and autonomous mobility systems. When constructing an autonomous driving system, it can be broadly divided into three categories: "perception," "decision-making," and "action," with SLAM being a crucial technology in the "perception" category. Specifically, it acquires point cloud data from sensors such as LiDAR and performs specific tasks, such as avoiding obstacles, using the map information and self-localization constructed by SLAM. 【Features】 - Supports autonomous operation of construction and heavy machinery by using LiDAR and other technologies for spatial recognition (self-location, situational awareness). - Enables self-localization even in environments where GPS cannot be used. *For more details, please refer to the related links or feel free to contact us.

• Other Software

Our company is advancing the automation of hydraulic excavators using AI technology. "Reinforcement learning" allows the AI to learn and acquire better actions to achieve its goals through trial and error in a simulation environment. Additionally, "imitation learning" enables the AI to learn similar actions based on example data from humans (skilled technicians). Please check the demo video at the link below. 【Features】 ■ Reinforcement Learning - The AI acquires operating methods through trial and error. ■ Imitation Learning - The AI acquires operating methods by mimicking human examples. *For more details, please refer to the related links or feel free to contact us.

• Drilling Machine
• Other Software

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.*

• Other Software

Our company provides a district heating and cooling (DHC) and large heat source air conditioning optimization solution realized through demand forecasting AI and energy-efficient heat production AI. By utilizing existing air conditioning systems, we retrofit AI controllers to the control equipment. With Alaya's autonomous AI technology, we predict the required air conditioning capacity (demand) and conduct heat production tailored to demand and electricity pricing systems, aiming for significant cost reductions (over 20%). Additionally, we can make precise and appropriate settings based on data from the past, present, and future, rather than relying on heuristics, for multiple parameters such as set temperature and operating times. **Three Benefits of Utilizing AI in Air Conditioning Control:** - High-precision predictions and control through diverse input data utilization, leading to cost reductions. - Data-driven settings that do not rely on heuristics, ensuring a comfortable environment at all times. - Ensuring environmental sustainability and contributing to the SDGs. *For more details, please refer to the related links or feel free to contact us.*

• District heating and cooling/heat source system

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.*

• Other Software

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.

• Other Software

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.*

• Other Software

In-store marketing (retail marketing) refers to sales strategies implemented in stores to promote consumer purchasing intent. It involves measures taken by large facilities such as shopping malls and department stores, as well as individual stores and restaurants within these facilities, to increase sales on the sales floor. In recent years, while the trend of online shopping has been rising, a survey regarding consumer psychology indicates that more than half of consumers still prefer shopping in physical stores. Additionally, a recent trend shows that more customers are using both online and offline channels, such as researching products online before visiting a physical store to make a purchase. In-store marketing is an essential initiative in store operations that involves analyzing the behavior of customers who visit physical stores, enhancing their purchasing intent, and guiding them towards making a purchase. *For more detailed information, please refer to the related links. Feel free to contact us for further inquiries.*

• Other Software

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.*

• Other Software

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.

• Other Software

"ARAYA Research DX" is a solution that consolidates Araya's knowledge in AI, programming, and brain, nerve, and cognitive sciences to support the research activities of those active in academia. It supports the development of analysis codes and software tailored to acquired data such as fMRI, EEG, ECoG, and MRG. By outsourcing time-consuming analysis tasks, it significantly reduces the workload of research. Additionally, it analyzes a wide variety of complex data all at once. It allows for verification without spending time on preprocessing such as quality checks and noise removal. [Support Contents] ■ Support for building analysis codes and developing analysis software ■ Analysis of brain and biological data ■ Creation of analysis automation software ■ Industry-academia collaboration projects with Araya *For more details, please refer to the related links or feel free to contact us.

• Other Software

Araya provides detailed proposals and development tailored to your challenges. For high-demand development projects categorized by industry and specific issues, we utilize "semi-custom AI" by leveraging templates (pre-trained models), enabling relatively quick AI development. Additionally, we also build AI models from scratch as "full-custom AI." **Main Challenges in the Construction Industry that Can Be Addressed with AI:** 1. Safety management at construction sites 2. Improvement and efficiency of equipment inspection quality 3. Automation of material quantity counting and recording of human actions 4. Transmission and maintenance of technology 5. Realization of construction machinery automation We propose solutions using AI for the challenges mentioned above. Please refer to the catalog for more details.

• Other Software
• Other civil engineering works
• Air conditioning equipment

Araya provides detailed proposals and development tailored to our customers' challenges. For high-demand development projects by industry, we can utilize templates (pre-trained models) as "semi-custom AI," enabling relatively quick AI development. Additionally, we also build AI models from scratch as "full custom AI." 【Main Challenges in the Manufacturing Industry That Can Be Solved with AI】 1: Safety management at work sites 2: Maintaining and improving inspection quality 3: Automation of material quantity counting and recording of human actions 4: Transmission and maintenance of technology We will solve the above challenges. Please refer to the catalog for more details. Also, we are currently offering free image diagnostics! Please feel free to contact us.

• Other Software
• Other civil engineering works
• Air conditioning equipment

"InspectAI" is a package software that automates the visual inspection process using AI technology. Specifically, it learns and determines normal/abnormal conditions based on images taken of the inspection targets. 【Features of InspectAI】 - No need for image data of defective products, significantly reducing the effort required to prepare training data for model construction. - Model training can be completed in about 1-2 hours with simple screen operations. - Achieves high-speed processing in accordance with takt time. For more details, please refer to the catalog. Also, feel free to contact us.

• Other Software
• Other civil engineering works
• Air conditioning equipment

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.

• Process Control System
• Other Software

We would like to introduce a case where AI was implemented for quality inspection of raw materials in consumable manufacturing. In the company that requested our services, inspectors previously needed to visually detect minute foreign substances that occasionally mixed in with the raw materials (plants) flowing on the production line. This visual detection by inspectors was challenging, and existing inspection equipment could not handle it, especially since conditions varied by factory and line. To solve this issue, we installed fixed cameras on the production line and implemented an AI algorithm to determine good and defective products, achieving high-quality, automated inspection. Additionally, we introduced a total system that allows the customer to manage multiple factories and lines independently. For inquiries about the implementation of AI in the visual inspection of products and raw materials on the production line, please feel free to consult with Araya. 【Effects After AI Implementation】 ■ Automation of foreign substance detection ■ Support for multiple types of raw materials and foreign substances ■ Capability for the customer to manage other factories/lines with different conditions independently *For more details, please refer to the PDF document or feel free to contact us.

• Process Control System
• Other Software

Inventory management in logistics warehouses involves a wide range of tasks and also includes work at heights, so ensuring the safety of workers is essential. The "automated inventory drone" we are developing autonomously flies around to trace all boxes, scanning the barcodes and QR codes attached to them, and registers the information in the inventory management system. By utilizing drones that fly autonomously for inventory tasks in warehouses, it becomes possible to achieve this in a short time and at a low cost. Additionally, we are seeking partner companies in the logistics industry who can collaborate with us in developing solutions using Alaya's automated inventory drone technology. **Benefits of the automated inventory drone we are developing:** - Drones at an affordable price range - Achievable with built-in cameras and QR codes - No need for additional RFID sensors, keeping implementation costs low *For more details, please refer to the PDF materials or feel free to contact us.*

• RFID/IC tags
• Logistics and warehouse management systems
• Warehouse Management System (WMS)

Araya offers detailed proposals and development tailored to our customers' challenges. For high-demand development projects by industry, we can utilize templates (pre-trained models) as "Semi-Custom AI," enabling relatively quick AI development. Additionally, we also build AI models from scratch as "Full-Custom AI." <Semi-Custom AI> - Build AI based on templates - Multiple high-demand templates available - Quick AI development possible <Full-Custom AI> - Build AI from scratch - Development of AI tailored to all requests <Example of Solutions for the Manufacturing Industry> ■Challenge: Maintaining and improving inspection quality → We achieve automation of the inspection process. For example, tasks that were traditionally inspected visually by humans can now be judged as normal/abnormal by AI, and classified by the type of abnormality. *For visual inspections, you can use "Inspect AI." We are currently offering free image diagnostics! Please feel free to contact us.

• Other Software
• Other civil engineering works
• Air conditioning equipment

At Araya, we solve various business challenges for our customers using image recognition technology powered by deep learning. Here, we introduce a case study where AI was implemented for inspecting parts of large transportation machinery. The company that requested our services had a legal inspection process for parts of transportation machinery. Traditionally, workers used endoscopes to conduct inspections on the fine parts that were subject to inspection, but they faced challenges such as "difficulty in maintaining high inspection quality" and "time-consuming processes." To address these challenges, we were able to reduce the overall burden of the inspection work by having AI automatically determine whether the inspection images indicated "normal" or "potentially abnormal and requiring focused inspection." For inquiries about the introduction of AI in the visual inspection of large machinery and structures (such as towers and bridges), please feel free to consult with Araya. 【Effects After AI Implementation】 ■ Maintenance of high inspection quality ■ Reduction in required time *For more details, please refer to the PDF materials or feel free to contact us.

• Other Software