Flicker Frequency Detection Using Correlation Analysis
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Solution Overview
Problem
Existing methods for detecting flicker frequency in indoor environments require significant memory and high-performance computing resources, leading to increased power consumption and silicon area, especially for high-resolution cameras, which is inefficient and costly.
Innovation Solution
A system and method utilizing an optical sensor to convert incident light into a digital sequence with a sampling frequency greater than twice the flicker frequency, generating periodic reference sequences with a phase offset, and computing correlation coefficients to determine the flicker frequency with low memory and computing complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image data for a frame or plurality of frames is analyzed to detect flicker frequency, then detection capability is achieved, but memory requirement increases
Solution Approach 1:
The patent extracts only the necessary light intensity information from full image frames by using a photodetector to capture ambient light variations directly, rather than storing and processing complete image frames. This extraction approach maintains flicker detection capability while significantly reducing memory requirements.
Solution Approach 2:
The patent creates a simplified representation of the light signal by generating reference sequences that model the expected flicker patterns at different frequencies. These reference sequences serve as lightweight copies that enable correlation-based detection without requiring storage of actual image data.
2Measurement precision
If a great amount of image data is processed to detect flicker frequency, then detection accuracy is improved, but computing complexity increases
Solution Approach 1:
The patent extracts only the essential temporal characteristics of light variations by using a photodetector to capture intensity changes over time, discarding spatial information contained in full images. This reduces computing complexity while preserving the temporal patterns necessary for flicker frequency detection.
Solution Approach 2:
The patent transforms the detection problem from analyzing complex image data to analyzing simplified light intensity signals. By changing the parameter representation from spatial-image-domain to temporal-signal-domain, the computing complexity is reduced while maintaining detection precision through correlation analysis.
3Productivity
If high-performance computing unit is used to process image data for flicker detection, then detection speed is improved, but power consumption increases
Solution Approach 1:
The patent extracts only the necessary temporal signal information from the environment using a simple photodetector, avoiding the need to process large volumes of image data. This extraction strategy enables fast detection using low-power computing resources.
Solution Approach 2:
The patent replaces expensive, high-power computing resources with simpler, lower-cost computational approaches. By using correlation analysis on simplified reference sequences rather than full image processing, the system achieves adequate detection speed with significantly reduced power consumption.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for precise detection of flicker frequency with reduced memory and computational requirements, enabling efficient implementation in low-energy integrated circuits and minimizing banding artifacts in camera images.
Implementation Method 1
utilizing an optical sensor to convert an incident light into a digital sequence according to a sampling frequency
Data Source
AI summary
A system and method for detecting a flicker frequency, and electronic device including the system are provided. The system includes an optical sensor, a sequence generator, a first and a second computing circuit. The optical sensor converts an incident light into a digital sequence according to a sampling frequency, which is greater than at least twice the flicker frequency. The sequence generator generates a first reference sequence and a second reference sequence that is delayed by a period from the first reference sequence, which are periodic according to the flicker frequency and the sampling frequency. The first computing circuit computes a first and a second correlation coefficient. The second computing circuit computes a detection score that indicates a probability of existence of the flicker frequency according to the first and the second correlation coefficient.