Video Queue Detection for Drive-Off and Walk-Off Alerts
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Solution Overview
Problem
Current surveillance technologies lack an automated solution for detecting abnormal events such as customer drive-offs and walk-offs from queues in retail settings, which can lead to customer dissatisfaction, processing errors, and potential losses, as existing solutions rely on manual annotation and fail to detect other relevant events.
Innovation Solution
A system and method using computer vision techniques to acquire and analyze video footage of queues, track queue members, determine queue configurations, and generate notifications for drive-offs and walk-offs by monitoring entry and exit points, enabling real-time detection and alerting when a queue member leaves before reaching a terminating point.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual annotation is used to detect drive-offs and walk-offs, then detection capability is provided, but labor costs and time consumption increase significantly
Solution Approach 1:
The patent replaces manual annotation (mechanical human labor) with an automated computer vision system that uses video analysis and machine learning algorithms to detect drive-offs and walk-offs, thereby eliminating the need for time-consuming manual processing while maintaining detection capability
Solution Approach 2:
The system enables self-service detection by allowing the video analysis system to automatically identify and flag drive-off and walk-off events without requiring human annotators, with the system autonomously processing video feeds and generating detection results
2Reliability
If current surveillance technologies are used, then basic security monitoring is provided, but automated detection of abnormal events such as drive-offs and walk-offs is not achieved
Solution Approach 1:
The patent changes the operational parameters of surveillance technology by implementing specific detection algorithms that monitor queue position, movement patterns, and exit timing, transforming basic security monitoring into an automated system capable of reliably detecting abnormal events like drive-offs and walk-offs
Solution Approach 2:
The system incorporates feedback mechanisms where detection results are continuously refined through analysis of video data patterns, allowing the system to improve its reliability in detecting drive-offs and walk-offs over time while maintaining full automation
3Ease of operation
If queue monitoring is performed to prevent drive-offs and walk-offs, then customer satisfaction may improve, but system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the video analysis system into distinct functional modules (video acquisition, queue detection, drive-off detection, walk-off detection), which reduces overall system complexity while enabling comprehensive monitoring to improve customer experience
Data Source
AI summary
A system and method for detecting customer drive-off/walk-off from a customer queue. An embodiment includes acquiring images of a retail establishment, said images including at least a portion of a customer queue region, determining a queue configuration within the images, analyzing the images to detect entry of a customer into the customer queue, tracking a customer detected in the customer queue as the customer progresses within the queue, analyzing the images to detect if the customer leaves the customer queue, and generating a drive-off notification if a customer leaves the queue.