By combining existing technologies with individual development tailored to each customer's needs, ARAYA can provide "truly usable AI" for business use and solve customers' business issues.
Here, we introduce examples of AI solutions for the transportation industry, including railways, shipping, and aviation.
Issue 1 in the transportation industry: Improving the quality and efficiency of inspections of vehicles, stations, etc.
In the transportation industry, there are inspections of railroad cars, ships, and aircraft themselves, as well as inspections of facilities such as stations, railroad tracks, tunnels, ports, and airports. Each of them has a huge number of detailed inspection items, such as whether there is rust on the structure itself or its parts, or whether there are cracks or corrosion in the concrete.
Even though some of these inspection tasks are being automated, many of them cannot be handled by general-purpose inspection tools due to the complexity of the tasks. 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 specialized.
To address these issues, ARAYA's image recognition AI technology will help automate the process.
For example, AI can make normal/abnormal judgments and classify each type of abnormality for rust and scratches on structures and parts, cracks and corrosion on concrete, water leaks, etc., which were previously checked and inspected by human eyes.
Transportation Industry Issue 2: Detection of suspicious objects and persons at stations, etc.
Since facilities such as stations, railroad tracks, ports, and airports are vast, it is necessary to monitor them for suspicious objects and persons. In addition, in recent years, it has become necessary to check for crowding in order to prevent infection. On the other hand, it is difficult to constantly monitor and guard the facilities with 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 to detect suspicious objects, forgotten items, suspicious persons, fallen persons, lost children, and densely populated areas 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 facilities, it is possible to detect suspicious objects, forgotten items, and suspicious people and issue alarms.
SUMMARY: FOR THOSE CONSIDERING IMPLEMENTING AI IN THE TRANSPORTATION INDUSTRY
PLEASE CONSULT WITH ARAYA REGARDING THE INTRODUCTION OF AI INTO THE FIELD OF TRANSPORTATION, AND WE WILL STRIVE TO PROVIDE DETAILED PROPOSALS AND EXPLANATIONS TO BOTH THOSE WITH EXPERIENCE IN AI DEVELOPMENT AND THOSE INVOLVED IN AI DEVELOPMENT FOR THE FIRST TIME.