Dynamic Vision Sensor Optical Black Noise Calibration
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Solution Overview
Problem
Dynamic vision sensors often produce unintended events due to factors other than object movement, leading to distorted information and increased workload for processors, necessitating efficient removal of noise events.
Innovation Solution
Incorporating an optical black region within the dynamic vision sensor pixel array to differentiate between real events and noise, using processing circuitry to generate and compare event signals with noise signals, and selectively outputting only real events based on a calculated value and threshold value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dynamic vision sensor detects all light intensity changes, then sensitivity to object movement is improved, but unintended noise events increase
Solution Approach 1:
The pixel array is divided into active regions for detecting real events and optical black regions for detecting noise events. This segmentation allows the sensor to distinguish between genuine light intensity changes and noise by comparing signals from different regions.
Solution Approach 2:
The optical black region acts as an intermediary that captures noise events without capturing real object movement. By using this intermediate region, the system can identify and filter noise events from the active regions through comparison, resolving the contradiction between detecting all changes and filtering noise.
2Loss of information
If all detected events are processed, then information completeness is improved, but processor workload increases
Solution Approach 1:
Noise events are extracted and identified separately using the optical black region. By extracting only the noise component and removing it from the event stream before processing, the system maintains information completeness for real events while significantly reducing the workload on the processor by eliminating unnecessary noise data.
3Measurement precision
If optical black region is added to pixel array, then noise detection capability is improved, but device complexity increases
Solution Approach 1:
The optical black region uses the same pixel structure as the active regions, allowing it to perform dual functions: capturing noise events for calibration and maintaining structural uniformity across the entire pixel array. This multi-functionality reduces device complexity by reusing existing pixel designs rather than introducing entirely new structures.
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 effectively filters out noise events, reducing the data processing load and improving the performance and power efficiency of event processing in dynamic vision sensors.
Implementation Method 1
A dynamic vision sensor detects a change in the intensity of light due to a movement of an object and generates an event
Data Source
AI summary
A dynamic vision sensor including a dynamic vision sensor pixel array including an active region and an optical black region, the active region configured to output a plurality of first signals corresponding to a plurality of first events indicating a change in an intensity of light, the optical black region configured to output a plurality of second signals corresponding to a plurality of second events not indicating the change in the intensity of light, and processing circuitry configured to, generate a plurality of event signals based on the plurality of first signals, generate a plurality of noise signals based on the plurality of second signals, calculate a value representing real events among the plurality of first events based on the plurality of event signals and the plurality of noise signals, and selectively output the plurality of event signals based on the value representing real events and a threshold value.