18609275. SYSTEM AND METHOD FOR DETECTING UNPAID ITEMS IN RETAIL STORE TRANSACTIONS simplified abstract (Walmart Apollo, LLC)

SYSTEM AND METHOD FOR DETECTING UNPAID ITEMS IN RETAIL STORE TRANSACTIONS

Organization Name

Walmart Apollo, LLC

Inventor(s)

Zhichun Xiao of Plano TX (US)

Lingfeng Zhang of Flower Mound TX (US)

Jon Hammer of Frisco TX (US)

Joseph Duffy of Plano TX (US)

Yao Liu of Richardson TX (US)

Sicong Fang of Dallas TX (US)

Xiang Yao of Santa Clara CA (US)

Pingyuan Wang of Dallas TX (US)

Yu Tao of Dallas TX (US)

Tianyi Mao of Dallas TX (US)

Yutao Tang of Allen TX (US)

Feiyun Zhu of Plano TX (US)

Han Zhang of Allen TX (US)

Chunmei Wang of Dallas TX (US)

Pingjian Yu of Plano TX (US)

Muzzammil Afroz of Frisco TX (US)

Haining Liu of Dallas TX (US)

SYSTEM AND METHOD FOR DETECTING UNPAID ITEMS IN RETAIL STORE TRANSACTIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18609275 titled 'SYSTEM AND METHOD FOR DETECTING UNPAID ITEMS IN RETAIL STORE TRANSACTIONS

Simplified Explanation:

The patent application describes a system where a transaction record of a customer's purchase is compared to a CV profile listing items obtained from images, with actions taken when discrepancies are found.

• The system creates a transaction record of a customer's purchase.
• A CV profile is generated listing items from images.
• A comparison is made between the transaction record and the CV profile.
• Actions are determined when discrepancies are identified.

Potential Applications: This technology could be used in retail settings to ensure accurate tracking of customer purchases and inventory management. It could also be applied in security systems to verify the contents of packages or bags.

Problems Solved: This technology addresses the issue of discrepancies between recorded transactions and actual items purchased, improving accuracy and efficiency in tracking customer purchases.

Benefits: The system streamlines the process of verifying customer purchases, reducing errors and improving overall inventory management. It also enhances security measures by ensuring the contents of packages match the recorded transactions.

Commercial Applications: This technology has potential applications in retail stores, e-commerce platforms, and security systems. It can improve customer service, inventory accuracy, and security measures in various commercial settings.

Prior Art: Readers interested in exploring prior art related to this technology may consider researching image recognition systems, transaction verification methods, and inventory management technologies.

Frequently Updated Research: Stay informed about advancements in image recognition technology, artificial intelligence applications in retail, and innovations in inventory management systems to understand the latest developments in this field.

Questions about Transaction Verification Technology: 1. How does this technology improve accuracy in tracking customer purchases? 2. What are the potential security implications of using this system in retail or security settings?

Original Abstract Submitted

A transaction record is created showing a purchase transaction of a customer. A CV profile showing a list of items in the transaction obtained from images is also obtained. The items in the transaction record are compared to items on the list. When there is a discrepancy, an action to take is determined.