Solutions by Industry

At construction sites, safety management is important because workers, machines and vehicles coexist. There is also a risk of intrusion by suspicious persons. On the other hand, it is difficult to monitor by human eyes all the time.

To address these issues, ARAYA's Image Recognition AI Technology automation of safety management.
For example, it is possible to detect intrusion into off-limits areas, to issue an alarm when a machine or vehicle is about to come into contact with a person, or to detect a person's fall from a surveillance camera. It is also possible to trigger an alarm when a suspicious person enters an area outside of work hours.

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The following video shows the AI recognizing cars, pedestrians, motorcycles, and bicycles near an intersection. Pedestrians, motorcycles, and bicycles are shaded yellow when they enter the intersection area, and red when they approach a vehicle.
By applying this technology to construction sites, it is possible to issue an alarm when a person, vehicle, or machine is about to come into contact.

During construction, there is work to be done to make sure that parts and other components are installed correctly. In addition, there are many inspection items for existing buildings, such as the presence of cracks and rust in the concrete. Even though some of the work related to the inspection of equipment in these buildings is being automated, there are many items that cannot be handled by general-purpose inspection tools due to the complexity of the work.
In such cases, it is difficult to maintain a certain level of quality in the work because it depends on the skills of the workers, and the work itself may become personalized.

To address these issues, ARAYA's Image Recognition AI Technology enables automation of the work.
For example, AI can make normal/abnormal judgments and classify each type of abnormality for parts installation, concrete cracks/corrosion, rust/scratches on parts, water leaks, etc., which used to be checked and inspected by human eyes.

Operational efficiency is required in every construction site. In particular, there are some tasks, such as counting materials, that are difficult to automate and are performed by human eyes. In addition, checking helmets and other clothing, recording vehicle access, and recording construction status can be burdensome.

To address these issues, ARAYA's Image Recognition AI Technology helps you automate your work.
For example, AI can convert the quantity of materials, which used to be counted by humans, into numerical values from images. It is also possible to improve operations by recording (visualizing and quantifying) and analyzing the movements of people and vehicles in the workplace.
AI can also determine whether workers are wearing the correct clothing based on their appearance.

Related Demo Video

The following video shows how the AI tracks the movement of a person. The following video shows the AI tracking the movement of people, even if there are relatively many people or they are far away from the camera. It is also possible to match the floor map with the person's current location.
By applying this technology to workplaces, it will be possible to record and analyze the movements of people and vehicles.

In some cases, construction work can only be performed by the most skilled of workers. On the other hand, as veteran workers retire, it is necessary to pass on and maintain their skills.

To address this issue, ARAYA's Image Recognition AI Technology to support the transfer of technology and automate tasks.
For example, it is possible to record and visualize the skills of experienced workers that are difficult to verbalize.

Related Demo Video

The following video shows the estimation of the position and posture of the joint points (key points) of a person in the video. The following video shows the estimation of the position and posture of the joint points (key points) of a person in the video. The posture can be estimated even if a relatively large number of people are in the video at the same time.
By applying this technology, for example, it will be possible to analyze the difference in movements between experienced workers and inexperienced workers.

As the working population shrinks due to the declining birthrate, there is a need to improve the efficiency of construction work. In addition, the need for automation of construction equipment is increasing as the number of skilled technicians handling construction equipment ages.

To address this issue, Araya's Development support service for automation of construction machinery makes it possible to automate construction machinery and industrial machinery that have been operated by humans.

Related Demo Video

The following video shows a simulation of the automation of construction machinery using reinforcement learning, in which the AI learns how to excavate soil through trial and error, eventually enabling the hydraulic excavator to excavate a certain amount of soil. Other methods include imitation learning, in which the AI imitates the movements of a person (the operator of the construction equipment).
We will apply these technologies to construction machinery and industrial machinery to achieve automation of operation.