Automatic Payment System Using Event-Triggered Camera Frame Rate Adjustment
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Solution Overview
Problem
Current point-of-sales (POS) systems require human intervention to read barcodes, which is resource-intensive, and existing camera systems struggle to efficiently identify customers in store footage, often resulting in poor image quality and increased storage needs.
Innovation Solution
An automatic payment system that incorporates a camera and ID sensors to recognize products without human intervention, allowing for efficient payment processing and improved image quality capture, while also optimizing storage space by adjusting frame rates based on payment events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-quality image capture is performed to enable accurate customer identification, then image quality is improved, but storage space requirements increase
Solution Approach 1:
The camera operates at different frame rates based on detected events. During normal operation, it captures images at a lower frame rate to conserve storage space. When a payment event is detected by the ID sensor or barcode scanner, the camera automatically switches to a higher frame rate to capture detailed customer images for identification purposes. This periodic adjustment of capture quality resolves the contradiction between maintaining high image quality and minimizing storage space requirements.
2Productivity
If barcode scanning is automated using camera and ID sensors, then productivity is improved, but device complexity increases
Solution Approach 1:
The camera system serves multiple functions: it captures customer images for identification, monitors the checkout area for security purposes, and works in conjunction with ID sensors and barcode scanners to enable automated payment processing. By making the camera a multi-functional component that serves both security surveillance and payment automation needs, the system achieves high productivity without proportionally increasing complexity, as the same hardware infrastructure supports multiple operations.
3Reliability
If camera captures continuous high-resolution footage for theft detection, then reliability of theft detection is improved, but storage space and processing requirements increase
Solution Approach 1:
The camera switches between low frame rate operation during normal periods and high frame rate operation when payment events or suspicious activities are detected by the ID sensors and barcode scanners. This event-triggered periodic capture maintains high reliability for theft detection by ensuring high-quality footage is available when needed, while minimizing storage space by capturing detailed footage only during relevant events rather than continuously.
Data Source
AI summary
An automatic payment system includes: first and second conveyer stages arranged along a conveying route on which products are moved; a slope disposed between the first and second conveyer stages on the conveying route; at least one first ID sensor facing the first conveyer state to sense IDs attached to the products when the products overlap the first conveyer stage; at least one second ID sensor facing the second conveyer stage to sense IDs attached to the products when the products overlap the second conveyer stage; and a bottom ID sensor facing the conveyer route under the slope.


