Construction DX/AI Solutions

Utilizing reinforcement learning AI and imitation learning AI to assist in the automation of shovel operation!

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

The realization of a "digital twin" where the physical site and virtual space collaborate with each other!

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

By applying AI/reinforcement learning and imitation learning techniques, we aim to significantly improve efficiency by automating the operation of construction machinery and other equipment!

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

Facilitate information sharing and the development of a common understanding among stakeholders to enhance the efficiency and sophistication of construction projects!

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

Significant cost reduction and energy savings achieved by utilizing autonomous AI technology in existing air conditioning systems!

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

Realizing 'AI implementation that can truly be used in operations' tailored to the challenges of everyone in the construction industry.

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.

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

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.*

• Other Software

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.

• Other Software
• Information and communication equipment and infrastructure

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.

• Other Software

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.

• Other Software

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.*

• Other Software

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.

• Other Software

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.

• Other Software

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.*

• Other Software

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.*

• Other Software

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).