20240029069. COMPUTER-VISION BASED DETECTION OF SCAMS AT PHYSICAL POINT OF SALE TERMINALS simplified abstract (Target Brands, Inc.)

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COMPUTER-VISION BASED DETECTION OF SCAMS AT PHYSICAL POINT OF SALE TERMINALS

Organization Name

Target Brands, Inc.

Inventor(s)

Ethan Sommer of Minneapolis MN (US)

COMPUTER-VISION BASED DETECTION OF SCAMS AT PHYSICAL POINT OF SALE TERMINALS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240029069 titled 'COMPUTER-VISION BASED DETECTION OF SCAMS AT PHYSICAL POINT OF SALE TERMINALS

Simplified Explanation

The disclosed technology is a system for detecting scam attempts in a physical retail environment. The system includes a camera that captures image data of a checkout area, a cash register that generates event data during a checkout process, and an edge computing device that accesses scam detection criteria. The criteria identify combinations of visual and event features corresponding to checkout scams.

Here are the key points about the patent/innovation:

  • The system uses a camera to capture image data of the checkout area and a cash register to generate event data during the checkout process.
  • An edge computing device processes the image data and event data to detect physical movement of a form of payment in or around the checkout area.
  • Timestamps for the physical movement are correlated with the event data to identify checkout scams based on satisfying the scam detection criteria.
  • The system generates an indication of the checkout scams being performed.

Potential applications of this technology:

  • Retail stores can use this system to prevent and detect scam attempts at the checkout counter.
  • It can be used in supermarkets, department stores, and other physical retail environments where cash transactions occur.

Problems solved by this technology:

  • This technology helps in identifying and preventing checkout scams, such as attempts to steal cash or manipulate payment transactions.
  • It provides an automated and efficient way to detect suspicious activities at the checkout counter.

Benefits of this technology:

  • Improved security: The system helps in preventing and detecting scam attempts, enhancing the overall security of the retail environment.
  • Cost savings: By automating the scam detection process, the system reduces the need for manual monitoring and intervention, leading to cost savings for retailers.
  • Enhanced customer trust: By effectively detecting and preventing scams, the system helps in building customer trust and loyalty.


Original Abstract Submitted

the disclosed technology provides for detecting a scam attempt in a physical retail environment. a system can include a camera that captures image data of a checkout area, a cash register that generates event data during a checkout process, and an edge computing device that accesses scam detection criteria identifying combinations of visual and event features corresponding to checkout scams, receive the image data, receive the event data, which includes (i) an indication that the checkout process is a cash transaction and/or (ii) a cash register drawer open event, detect, based on processing the image data, physical movement of a form of payment in or around the checkout area, correlate timestamps for the physical movement with the event data, generate an indication of the checkout scams based on satisfying the scam detection criteria, and return the indication of the checkout scams being performed.

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