Facial Recognition Throughput via Gaze-Aware Capture Delay
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Solution Overview
Problem
Conventional facial recognition systems struggle to accurately capture images of individuals when the scanning device immediately captures the image after reading an identification code, as the person is often looking down at the scanning device and away from the camera, leading to poor image quality.
Innovation Solution
Implementing a delay period after successfully reading an identification code, allowing the individual to look up and align with the camera before capturing their image, thereby improving the reliability of facial recognition throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the scanning device immediately captures the image after reading the identification code, then the processing speed is improved, but the image capture reliability deteriorates because the document holder is looking down at the scanning device
Solution Approach 1:
The system performs preliminary detection to determine whether the document holder is looking at the scanning device before triggering the image capture. This preliminary check ensures that the capture is only initiated when the holder is in the correct position (looking up), thereby resolving the contradiction between immediate capture and reliable capture by adding a conditional prerequisite action.
2Reliability
If the scanning device waits for a delay period before capturing the image, then the image capture reliability is improved, but the processing time increases
Solution Approach 1:
Instead of using a fixed delay period, the system performs a preliminary detection action to determine the document holder's gaze direction. This allows the system to capture the image immediately when the holder is looking up, eliminating unnecessary waiting time while ensuring reliable capture conditions are met.
Solution Approach 2:
The system dynamically adjusts the timing of image capture based on real-time detection of the document holder's behavior. Rather than using a static delay period, the capture timing is optimized by continuously monitoring whether the holder is looking at the scanning device, allowing the system to adapt to varying situations and minimize processing time while maintaining reliability.
3Measurement precision
If the camera is positioned to capture an image when the document holder is looking upright, then the image quality is improved, but the capture fails when the holder looks down at the scanning device
Solution Approach 1:
The system performs a preliminary detection of the document holder's gaze direction before triggering the image capture. This preliminary action ensures that the camera only captures images when the holder is in the correct position (looking upright), thereby maintaining high image quality while preventing failed captures by rejecting inappropriate capture conditions in advance.
Data Source
AI summary
Systems and methods are described that include receiving an indication of a scanned document from a scanning device, waiting a delay period in response to receiving the indication of the scanned document, and instructing an image capture device to capture an image of a document holder after waiting the delay period. In this manner, the described systems and methods may increase facial recognition throughput by waiting the delay period after receiving the indication of the scanned document, allowing for sufficient time for the document holder to look up from the scanning device to the image capture device.