Dynamic Vision Sensor Leakage Current Compensation

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Solution Overview

Problem

Dynamic vision sensors face challenges in accurately measuring photocurrent at low illuminance and dark states due to interference from leakage currents, which affects the reliability and accuracy of light intensity detection.

Innovation Solution

The dynamic vision sensor employs a pixel array with first and second photoreceptors, alternately enabled to measure photocurrents, and processing circuitry to amplify log voltages and detect changes in light intensity, outputting event signals and determining pixel average photocurrent by calculating the difference between the photocurrents from these photoreceptors, thereby isolating and removing leakage currents.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Illumination intensity

If a dynamic vision sensor measures photocurrent at low illuminance, then light intensity detection capability is improved, but measurement precision deteriorates due to interference from leakage currents

Engineering Contradiction:
Improvelow illuminance detectionVSAvoidphotocurrent measurement accuracy
Core Design Contradiction:
Illumination intensityVSMeasurement precision

Solution Approach 1:

The pixel array is divided into multiple photoreceptors, each independently measuring photocurrent. By segmenting the measurement function across multiple photoreceptors and using differential calculation, the patent isolates the signal from leakage current interference, enabling accurate measurement at low illuminance levels

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements a feedback mechanism where the measured photocurrent values from multiple photoreceptors are used to calculate and compensate for leakage current effects. The processing circuitry uses the differential information from multiple measurements to adjust and refine the final photocurrent value, improving measurement precision at low illuminance

Inventive Principle:
Principle #23Feedback

2Reliability

If a dynamic vision sensor operates in dark state to measure dark current, then reliability of light intensity detection is improved, but measurement precision deteriorates due to absence of light signal

Engineering Contradiction:
Improvelight intensity detection reliabilityVSAvoiddark current measurement accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent performs preliminary measurements using multiple photoreceptors even in the dark state before actual light detection. By capturing baseline measurements from multiple photoreceptors in advance, the system establishes reference data that can be used to compensate for dark current variations, improving the reliability of subsequent light intensity measurements

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system uses feedback from dark state measurements to continuously update and refine the dark current compensation model. The processing circuitry analyzes the differential measurements from multiple photoreceptors in the dark state and adjusts the compensation parameters, ensuring accurate dark current subtraction during actual operation

Inventive Principle:
Principle #23Feedback

3Measurement precision

If multiple photoreceptors are used to measure photocurrent, then measurement precision is improved through differential calculation, but device complexity increases

Engineering Contradiction:
Improvephotocurrent measurement accuracyVSAvoidpixel array structure
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent merges the measurement function across multiple photoreceptors into a unified differential calculation process. By combining the outputs of multiple photoreceptors and processing them through a shared calculation mechanism, the system achieves improved measurement precision while avoiding the complexity of completely independent measurement systems for each photoreceptor

Inventive Principle:
Principle #5Merging (Combining)

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 enables accurate measurement of photocurrent and dark current even in low illuminance conditions, improving the reliability and optimizing the design of dynamic vision sensors for better low-light performance.

Implementation Method 1

each including at least one first pixel and at least one second pixel, respectively, the at least one first pixel and the at least one second pixel configured to generate at least one first photocurrent and at least one second photocurrent in response to an incident light

Methodology Applied
Scientific EffectPhotoelectric effect: Photoelectric Effect

Data Source

PatentUS11582410B2Dynamic vision sensor and image processing device including the same
Publication Date: 2023.02.14 SAMSUNG ELECTRONICS CO LTD
  • US11582410B2 patent drawing
  • US11582410B2 patent drawing
  • US11582410B2 patent drawing

AI summary

A dynamic vision sensor may include a pixel array including at least a first photoreceptor and a second photoreceptor, the first photoreceptor and the second photoreceptor including at least one first pixel and at least one second pixel, respectively, the at least one first pixel and the at least one second pixel configured to generate at least one first photocurrent and at least one second photocurrent in response to an incident light, respectively, and the first photoreceptor and the second photoreceptor configured to a first and second log voltages based on the at least one first photocurrent and the at least one second photocurrent, respectively, processing circuitry configured to, amplify the first and second log voltages, detect a change in intensity of the light based on the amplified first log voltage, the amplified second log voltage, and a reference voltage, and output an event signal corresponding to the detected value.