POS Transaction Video Review With Random Access Event Correlation
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Solution Overview
Problem
Conventional video surveillance systems for point-of-sale transactions are time-intensive and inefficient, requiring security personnel to manually review extensive video footage to identify missed scans or fraudulent activities, which is burdensome and prone to errors.
Innovation Solution
A video displayer system that provides random-access review of point-of-sale transaction video by correlating video surveillance data with transaction data, allowing instant access to specific transaction events, visually modifying the video to signal transaction events, and using object recognition logic to identify potentially suspicious activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If security personnel manually review extensive video footage to identify missed scans or fraudulent activities, then comprehensive surveillance coverage is achieved, but the review process becomes time-intensive and inefficient
Solution Approach 1:
The patent extracts and isolates only the relevant portions of video footage corresponding to transaction events. By synchronizing video data with transaction data, the system extracts specific time segments where transactions occurred and presents them sequentially to reviewers, eliminating the need to review entire hours of continuous video footage while maintaining comprehensive fraud detection coverage.
Solution Approach 2:
The system performs preliminary processing of video and transaction data before the review stage. Transaction events are identified and timestamped in advance, allowing the system to pre-segment video footage into relevant transaction clips. This preliminary organization enables reviewers to immediately access pre-processed, relevant content without manual searching or extensive viewing.
2Reliability
If security personnel review every frame of video to find instances when operators failed to scan items, then complete transaction monitoring is achieved, but the process becomes burdensome and prone to errors
Solution Approach 1:
The system extracts only the essential transaction-related video segments by correlating video timestamps with transaction event timestamps. This extraction process isolates specific moments when items were scanned or when transaction events occurred, presenting them in sequential order. Reviewers can monitor complete transactions through these extracted segments without the burden of reviewing every video frame, significantly reducing workload while maintaining monitoring completeness.
Solution Approach 2:
The system provides feedback to reviewers by presenting video clips in sequential transaction order with clear demarcation of transaction boundaries. This structured feedback mechanism guides reviewers through relevant content systematically, reducing cognitive load and minimizing errors compared to unstructured full-video review.
3Loss of information
If conventional video surveillance systems review entire video feeds, then all transaction events are captured, but the systems require extensive time and resources to process
Solution Approach 1:
The patent implements extraction of relevant video portions by synchronizing video surveillance data with point-of-sale transaction data. The system identifies specific time segments corresponding to transaction events and extracts only those portions for review. This maintains complete transaction event coverage while dramatically reducing the volume of video content that requires processing and review.
Solution Approach 2:
The system segments continuous video footage into discrete transaction-based clips. Each segment corresponds to a specific transaction event identified through point-of-sale data correlation. This segmentation transforms an overwhelming continuous video stream into manageable, organized units that can be processed and reviewed efficiently while preserving all transaction information.
Data Source
AI summary
The present disclosure includes a system in which a video displayer, having access to video surveillance data and point-of-sale transaction data, provides random-access review of point-of-sale transactional video. Embodiments herein provide a new method of reviewing security video of a transaction taking place at a retail establishment's point-of-sale transaction area, or register. Embodiments herein enable random and instantaneous access to any number of transaction events that may be of interest to a loss prevention investigator. In one embodiment, a video displayer obtains video data comprising a point-of-sale transaction occurring at a point-of-sale transaction area, and transaction data from a point-of-sale terminal. The video displayer displays video of individual transaction events from a larger transaction, and visually modifies displayed video at a moment in the video when a transaction event occurs.