Touchable Device Image Sensor Frequency Domain Object Detection
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Solution Overview
Problem
Touchable devices, such as optical mice, often experience track misjudgment and jitters due to the retrieval of external environment images by image sensors, which can lead to inaccurate cursor movement on the computer screen.
Innovation Solution
A method involving an image sensor and processor in touchable devices that converts images into frequency domain signals, generating signals indicating the presence or absence of an object with fingerprint features on the operation interface, and using these signals to determine the existence and movement of the object, thereby controlling displacement detection and avoiding external interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an image sensor is used to retrieve finger images on the operation interface, then the displacement amount can be calculated for cursor movement, but track misjudgment or jitters occur due to retrieval of external environment images
Solution Approach 1:
The patent transforms the image signal from spatial domain to frequency domain by analyzing frequency components. This parameter transformation allows the system to identify fingerprint patterns (which have characteristic frequency distributions) and distinguish them from external environment images, thereby resolving the track misjudgment and jitter issues while maintaining accurate displacement measurement
Solution Approach 2:
The patent focuses analysis on specific frequency regions (medium-high frequency components) that are characteristic of fingerprint patterns. By concentrating the detection effort on these specific frequency characteristics rather than analyzing the entire image, the system can reliably identify valid fingerprint objects and filter out external environment interference, improving both measurement precision and track detection reliability
Data Source
AI summary
A method for detecting an object and a touchable device are presented, which is capable of detecting an object having a fingerprint feature on an operation interface of the touchable device. An image sensor is used for acquiring acquiring an image on the operation interface, and the acquired image is converted into a signal denoted in a frequency domain by using a frequency conversion function. Signals at a medium-high frequency (MHF) signal region among the signals of the frequency domain are analyzed, so as to generate a first signal and a second signal according to a distribution of the signals of the frequency domain. The first signal indicates existence of the object on the operation interface, and the second signal indicates inexistence of the object on the operation interface.