Solutions by Industry

In commercial facilities, etc., it is often a trial and error process to determine what measures, store layouts, and product displays will lead to customer purchasing behavior, but it is difficult to visualize and quantify the behavior of customers visiting stores, making verification difficult.

To address this issue, Araya's Image Recognition AI Technology enables the visualization and quantification of customer behavior.
For example, it is possible to count the number of people entering a facility or passing in front of a store, and to understand and analyze the flow and behavior of customers within a facility or store. It will also be possible to visualize how much interest customers have in signage and pop-ups.
This makes it possible to use the system for planning and marketing of facilities and stores.

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 facilities and stores, it will be possible to record and analyze the movements of people. It is also possible to analyze by gender and age.

Business efficiency is required in every company and facility. In particular, there are some tasks, such as inventory counting, that are difficult to automate and are performed by human eyes. In addition, if the facility is large, it is difficult to constantly monitor and guard against unwanted parking, forgotten items, suspicious objects, etc. by human eyes.

To address these issues, Araya's Image Recognition AI Technology We help you to improve the efficiency of your business by
For example, it is possible for AI to quantify the quantity of inventory from images, which used to be counted by humans. It is also possible to detect unwanted parking, forgotten items, suspicious objects, lost children, and fallen persons from surveillance cameras.

Related Demo Video

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 surveillance cameras in commercial facilities, it is possible to detect unwanted parking, forgotten items, and suspicious objects and issue an alarm.

IN RECENT YEARS, HOWEVER, THERE HAS BEEN A RAPID INCREASE IN THE NEED FOR AUTOMATED SURVEYS USING IMAGE RECOGNITION AI TECHNOLOGY. ON THE OTHER HAND, IT IS DIFFICULT FOR THE SAME AI SOLUTION TO BE UNIVERSALLY APPLICABLE TO CHANGING OBSERVATION CONDITIONS SUCH AS LOCATION, TIME AND WEATHER.

TO ADDRESS THIS ISSUE, ALAYA PROVIDES A HIGHLY ACCURATE AI TRAFFIC COUNTING SOLUTION THAT CAN FLEXIBLY RESPOND TO CHANGES IN OBSERVATION CONDITIONS, ENABLING MORE ACCURATE TRAFFIC SURVEYS IN A VARIETY OF USE CASES.

Related demo videos1

The following video shows the detection of a car on the road.
The algorithm used here is highly tolerant of environmental factors such as camera angle, road geometry, weather and time, and is versatile enough to provide highly accurate traffic counts (vehicles, cyclists and pedestrians). It can also be used to detect reversing and wrong-way vehicles on the road.

Related demo videos2

The following video shows a drone detecting a car in a car park from a bird's eye view.
This technology can also be applied to surveillance cameras and fixed cameras to understand congestion in car parks, detect empty spaces, and detect unwanted parking.

In commercial facilities and buildings, the power cost for air conditioning is extremely high. In addition, in many cases, the method of operating air conditioning relies on the experience and intuition of operators.

To address this issue, Araya's Air Conditioning Optimization Technology The new system will significantly reduce power costs for air conditioning.
Specifically, AI is used to control central air conditioning, large heat sources, and district heating and cooling (DHC) control equipment in facilities and buildings, reducing excess power consumption through more detailed operation than conventional human control.