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 some examples of AI solutions for the manufacturing industry.
Manufacturing Industry's Challenge #1: Workplace Safety Management
In manufacturing sites, safety management is important because workers, machines and vehicles coexist. On the other hand, it is difficult to constantly monitor by human eyes.
To address this issue, Araya'sImage Recognition AI Technology enables the automation of safety management.
For example, it can detect intrusion into an off-limits area, issue an alarm when a machine or vehicle is about to come into contact with a person, or detect a person's fall from a surveillance camera.
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 AI technology to factories and other workplaces, it is possible to issue an alarm when a person, vehicle, or machine is about to come into contact.
Manufacturing Industry's Challenge #2: Maintaining and Improving Inspection Quality
Even though the automation of inspection processes such as the visual inspection of raw materials and products is being promoted, there are still cases where inspection is performed by human eyes because the inspection object is special and no inspection machine exists, the inspection machine is very expensive, or the inspection object is irregularly shaped (e.g. cloth), making automation difficult.
In such cases, it is difficult to maintain a certain level of inspection quality because it depends on the skills of the inspector, or the inspection itself may become an individualized process.
To address these issues, Araya'sImage Recognition AI Technology and Appearance inspection package software "InspectAI enables automation of the inspection process.
For example, AI can make normal/abnormal judgments and classify each type of abnormality for items that were previously inspected visually by humans.
Introduction of AI for quality inspection of consumable raw materials
Introduction of AI for defect classification of precision equipment parts
Introduction of AI for parts inspection of large machinery
Manufacturing Industry's Challenge #3: Automated Material Quantity Counting and Recording of Human Activities
Improving operational efficiency in the manufacturing process is required for all companies and products. In particular, there are some tasks, such as counting materials, that are difficult to automate and are performed by human eyes. In addition, checking clothing such as helmets, hats, masks, and gloves, and checking whether employees have washed their hands when entering a room can be burdensome.
To address these issues, Araya'sImage Recognition AI Technology to help you automate your work.
For example, it is possible for AI to quantify the quantity of materials, etc., from images, which used to be counted by humans. 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 in the right state of dress and behavior when entering a room, 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 addition, Araya's autonomous drone will enable drones to replace factory patrols that were previously performed by humans.
Related Demo Video
The following video shows a drone automatically tracking and patrolling a pink line drawn on an office floor. The drone aircraft is a common popular model.
By applying this technology to factories, etc., it will be possible to have drones replace patrols in factories.
Manufacturing Industry's Challenge #4: Technology Transfer
There are some manufacturing and inspection processes that can only be performed by skilled workers. On the other hand, it is necessary to hand down and maintain these skills as veteran workers retire.
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.
SUMMARY: FOR THOSE WHO ARE CONSIDERING IMPLEMENTING AI IN THE MANUFACTURING INDUSTRY
PLEASE CONSULT WITH US ABOUT THE INTRODUCTION OF AI TO YOUR MANUFACTURING SITE, AND WE WILL PROVIDE DETAILED PROPOSALS AND EXPLANATIONS FOR BOTH THOSE WITH EXPERIENCE IN AI DEVELOPMENT AND THOSE WHO ARE NEW TO AI DEVELOPMENT.