Cashier Fraud Monitoring

Automatic detection and notification of fraudulent acts based on camera images at the top of the self-checkout machine, thereby contributing to the protection of store profits and the elimination of the shortage of monitoring personnel.

Challenges

• Carelessness or intentional misconduct in self-checkout machine resulting in increased losses.

• Lack of manpower and difficulty allocating sufficient staff for monitoring.

Solutions

• Automatically detect and notify a fraudulent act in a self-checkout machine by recognizing an item or a person based on image analysis.

• Functions

• Scan avoidance detection.

• (Features in development that are not installed in Kozuchi)

• Detection of disguise of scanning items (Banana trick and label switches).
• Detection of remained unscanned items in baskets.

Strength

• World’s most accurate detection of “An object held in hand”. (2023)
  *Detection accuracy for “An object held in hand” on HICO-DET dataset (presented in VISAPP 2023)

• Winner of competition of product recognition at self-checkout on international conference. (2023)
  *CVPR AI City Challenge 2023

Concept Video

Demo Video

Document

• User Manual (PDF)
  User manual of Cashier Fraud Monitoring.

• License Information (PDF)
  License information for OSS, etc. used by Cashier Fraud Monitoring.

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