Open Frame Camera Support for Self-Service Checkout Theft Detection
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Solution Overview
Problem
Self-service checkout terminals face challenges in theft detection due to false reads from barcode scanners and inadequate camera placement, which leads to increased response times and usability issues, as single cameras cannot capture fine-grain details and may occlude views of the transaction area.
Innovation Solution
An open frame camera support assembly with multiple cameras and LED lighting elements is integrated into the self-service checkout terminal, providing unobstructed views of the scan area and allowing for enhanced item recognition through multiple perspective angles, combined with a bioptic scanner and weigh scale for accurate item identification and weight verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If additional security cameras are deployed around the transaction area, then theft detection capability is improved, but response time increases and checkout delays are exacerbated
Solution Approach 1:
The system segments the monitoring function by deploying multiple cameras at different positions (above, in front of, and to the side of the scan area) rather than using a single camera. This segmentation allows simultaneous capture of multiple views, improving theft detection reliability while enabling parallel processing of image data to reduce response time.
Solution Approach 2:
The patent adds spatial dimensionality to the monitoring system by positioning cameras in three-dimensional space around the transaction area (overhead, frontal, and lateral positions). This multi-dimensional arrangement provides comprehensive coverage and enables more efficient theft detection through multiple perspectives simultaneously, reducing the time needed to identify suspicious activities.
2Reliability
If additional cameras are placed around the transaction area, then monitoring coverage is improved, but usability deteriorates due to obstructed views of the customer display
Solution Approach 1:
The system applies local quality by positioning cameras at specific locations optimized for their function: cameras above the scan area focus on item capture, cameras in front capture customer actions, and side cameras monitor lateral movements. This localized positioning ensures comprehensive monitoring coverage while minimizing obstruction of the customer display, as each camera is strategically placed to serve its specific monitoring purpose without blocking the customer's view.
3Device complexity
If a single security camera is placed high over the transaction area, then device complexity is reduced, but measurement precision deteriorates due to inability to capture fine-grain details
Solution Approach 1:
Instead of using a single complex high-positioned camera, the system segments the imaging function into multiple cameras positioned at different heights and angles. This segmentation allows each camera to capture specific details from its optimal position, achieving fine-grain detail capture without requiring a single overly complex system. The multiple cameras work together to provide comprehensive high-resolution monitoring.
4Reliability
If cameras are positioned to capture all transaction areas, then theft detection accuracy is improved, but occlusion of views occurs either intentionally by customers or inadvertently
Solution Approach 1:
The system transitions from a single-view monitoring approach to a multi-dimensional camera arrangement positioned above, in front of, and to the side of the scan area. This three-dimensional positioning ensures that at least one camera maintains an unobstructed view of any given area, as customers can only occlude line-of-sight from one position at a time. The multi-dimensional arrangement eliminates blind spots and ensures continuous monitoring coverage.
Solution Approach 2:
Each camera is positioned to monitor specific zones of the transaction area with optimized angles and focal points. The overhead camera monitors items in the scan area, frontal cameras capture customer hand movements and scanning actions, and side cameras monitor lateral item movements. This localized monitoring approach ensures comprehensive coverage without requiring any single camera to have an impossible unobstructed view of the entire area.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution minimizes discrepancies in item scanning, reduces theft detection delays, and enhances customer usability by ensuring accurate item recognition and weight verification, thereby reducing theft and improving the overall checkout experience.
Implementation Method 1
An open frame camera support assembly with multiple cameras and LED lighting elements is integrated into the self-service checkout terminal
Data Source
AI summary
A camera support assembly may include an open frame mounted on a bracket coupled to self-service checkout terminal, the open frame above a scan area surface of the self-service checkout terminal, the open frame being trapezoidal and having two opposing parallel sides, the bracket connected to the open frame on a first side of the two opposing parallel sides. In addition, the assembly may include a cross-member connecting the two opposing parallel sides of the open frame. The assembly may include a first camera mounted on the cross-member, the first camera positioned downward facing towards the scan area surface of the self-service checkout terminal, the first camera coupled to a computer-vision item transaction module of the self-service checkout terminal.