Palm Distance Detection Using Camera and Sensor Array
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Solution Overview
Problem
Current distance detection methods in palm verification systems are not accurate enough, leading to security risks due to unreliable estimation of the distance between the palm and the palm information acquisition device, which can result in unintentional triggering and resource wastage from repeated verification.
Innovation Solution
A method and apparatus that utilize a combination of a camera module and multiple distance sensors uniformly distributed around the camera module to detect the position and distance of an identity marker, such as a palm, by determining calibration positions and selecting target distance sensors to accurately calculate the distance between the identity marker and the acquisition device, thereby excluding errors from size differences and image distortions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If distance estimation is performed using image position and palm key points, then the verification process can be implemented, but the distance measurement precision is insufficient leading to security risks
Solution Approach 1:
The patent introduces distance sensors as intermediary devices to bridge the gap between image-based detection and accurate distance measurement. The distance sensors serve as mediators that provide precise distance data while the image processing system handles position and key point detection, combining both approaches to achieve both security and precision requirements
Solution Approach 2:
The patent merges image processing capabilities with distance sensing capabilities into a unified verification system. By combining the palm detection and key point identification from image processing with the precise distance measurement from distance sensors, the system achieves both verification functionality and accurate distance measurement simultaneously
2Measurement precision
If multiple distance sensors are uniformly distributed with the camera module as center, then distance detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent segments the distance sensing function into multiple independent distance sensors uniformly distributed around the camera module. This segmentation allows each sensor to independently measure distance at its specific location, and the results can be combined to provide accurate distance detection across the entire field of view, achieving precision through distributed measurement points
3Productivity
If distance detection accuracy is insufficient, then verification can proceed with existing hardware, but unintentional triggering and resource wastage occur
Solution Approach 1:
The patent implements a feedback mechanism where the distance sensors provide accurate distance information that feeds back into the verification decision process. This feedback allows the system to make more accurate verification decisions, reducing unnecessary repeated verifications and the associated resource wastage while maintaining high verification efficiency
Data Source
AI summary
A method for detecting a distance of a palm relative to an information acquisition device is performed by a computer device and the method includes: obtaining an image of a palm and at least one distance value of the palm acquired by the information acquisition device having a camera module and a plurality of distance sensors; determining position information of an identity marker in the image; determining, according to the at least one distance value, calibration positions corresponding to the plurality of distance sensors in the image; determining, according to the position information and the calibration positions corresponding to the plurality of distance sensors in the image, at least one target distance sensor detecting the identity marker in the plurality of distance sensors; and determining a distance between the identity marker and the information acquisition device according to the distance value acquired by the at least one target distance sensor.