AI Solutions for the Logistics Industry
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 an example of AI solutions for the logistics industry.
Logistics challenge 1: Improve efficiency and automation of goods inspection
Inspection is an important quality assurance process that ensures that products and goods are free from defects and deficiencies. For example, shipping the wrong product can lead to costly re-deliveries and a loss of trust from the customer. However, many inspection tasks are still carried out manually.
To address these issues, ARAYA'sImage recognition AI technology to improve the efficiency and automation of the inspection process.
For example, it can automatically check products for dents and scratches, and read difficult-to-read barcodes and text labels, eliminating the problems that have hindered the automation of inspection work in the past.
Logistics Challenge 2: Managing safety at work
In logistics warehouses, 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 constantly monitor by human eyes.
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.
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 workplaces, it is possible to issue an alarm when a person, vehicle, or machine is about to come into contact.
Logistics challenge 3: Automated material quantity counting and recording of human activity
Improving operational efficiency is required in all areas of logistics. In particular, some tasks, such as counting boxes and materials, are difficult to automate and are performed by human eyes. In addition, checking clothing, such as helmets, and recording the arrival and departure of vehicles can be burdensome.
To address these issues, Araya'sImage Recognition AI Technology to help 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 (forklifts) in the warehouse.
The AI can also determine if the 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.
Logistics challenge 4: Warehouse inventory automation
Inventory work in distribution warehouses involves work over a wide area and at high elevations, so it is necessary to ensure the safety of workers. For this reason, automation of inventory work is desired.
Araya'sAutonomous Flying Drones Araya's drones can automate inventory work that used to be done by humans. This makes inventory work possible in a shorter time and at a lower cost.
Related Demo Video
In the video below, a drone flies autonomously, tracing all the boxes, scanning the QR codes on the boxes and registering the information to the inventory management system.
The use of AI in warehouse inventory operations is expected to save labor, improve accuracy, and reduce the length of time operations are shut down for inventory work.
SUMMARY: FOR THOSE WHO ARE CONSIDERING IMPLEMENTING AI IN THE LOGISTICS INDUSTRY
PLEASE CONTACT US IF YOU ARE INTERESTED IN INTRODUCING AI INTO THE LOGISTICS FIELD, ETC. WHETHER YOU HAVE EXPERIENCE IN AI DEVELOPMENT OR ARE NEW TO AI DEVELOPMENT, WE WILL PROVIDE YOU WITH DETAILED PROPOSALS AND EXPLANATIONS.