18490059. STORAGE MEDIUM, ALERT GENERATION METHOD, AND INFORMATION PROCESSING APPARATUS simplified abstract (Fujitsu Limited)
Contents
STORAGE MEDIUM, ALERT GENERATION METHOD, AND INFORMATION PROCESSING APPARATUS
Organization Name
Inventor(s)
Takuma Yamamoto of Yokohama (JP)
Daisuke Uchida of Kawasaki (JP)
STORAGE MEDIUM, ALERT GENERATION METHOD, AND INFORMATION PROCESSING APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18490059 titled 'STORAGE MEDIUM, ALERT GENERATION METHOD, AND INFORMATION PROCESSING APPARATUS
The abstract describes a computer program that generates alerts based on abnormalities in merchandise registered in a checkout machine.
- Acquiring a video of a person holding merchandise to be registered in a checkout machine
- Specifying merchandise candidates and their numbers by inputting the video to a machine learning model
- Acquiring items of registered merchandise and their numbers
- Generating an alert indicating abnormalities in registered merchandise based on the acquired items and numbers, as well as the specified merchandise candidates and numbers
Potential Applications: - Retail loss prevention - Automated inventory management - Fraud detection in retail settings
Problems Solved: - Identifying discrepancies in registered merchandise - Improving security and accuracy in checkout processes
Benefits: - Enhanced efficiency in monitoring merchandise registration - Reduction in losses due to fraudulent activities - Improved customer trust in checkout processes
Commercial Applications: Title: "Automated Merchandise Abnormality Detection System" This technology can be used in retail stores, supermarkets, and other commercial settings to improve security and accuracy in merchandise registration processes, ultimately leading to cost savings and improved customer satisfaction.
Prior Art: Readers can explore prior art related to computer vision, machine learning models for object recognition, and retail loss prevention technologies.
Frequently Updated Research: Researchers are continually exploring advancements in computer vision algorithms, machine learning models, and retail analytics to enhance the accuracy and efficiency of merchandise registration processes.
Questions about Automated Merchandise Abnormality Detection System: 1. How does this technology impact retail operations? - This technology improves security and accuracy in merchandise registration processes, leading to cost savings and improved customer satisfaction. 2. What are the key components of the machine learning model used in this system? - The machine learning model is used to specify merchandise candidates and their numbers based on the acquired video of registered merchandise.
Original Abstract Submitted
A non-transitory computer-readable storage medium storing an alert generation program that causes at least one computer to execute a process, the process includes acquiring a video of a person who holds a merchandise to be registered in a checkout machine; specifying merchandise candidates corresponding to merchandises included in the video and a number of the merchandise candidates by inputting the acquired video to a machine learning model; acquiring items of merchandises registered by the person and a number of the items of the merchandises; and generating an alert indicating an abnormality of merchandises registered in the checkout machine based on the acquired items of the merchandises and the number of the items of the merchandises, and the specified merchandise candidates and the number of the merchandise candidates.
