Detector Unit Asynchronous Readout for Optical Flash Detection
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Solution Overview
Problem
Existing detectors are limited in detecting very short, low-intensity optical flashes against high-intensity background signals, such as sunlight, and fail to achieve high spatial resolution, leading to false alarms and inefficiencies in laser warning and enemy fire detection systems.
Innovation Solution
A detector unit with a large number of pixels and a signal processing unit that compares image signals with adjustable threshold values and time constants, allowing for event-driven, asynchronous readout and optimized sensitivity, capable of detecting localized optical sources with high spatial resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional detectors are used to detect optical flashes, then detection capability is limited, but false alarms increase due to inability to distinguish signals from background noise
Solution Approach 1:
The detector divides the optical detection task into multiple independent pixel channels, each with its own signal processing unit. This segmentation allows parallel processing of multiple spatial locations simultaneously, improving detection capability while maintaining reliability through distributed decision-making across pixels.
Solution Approach 2:
Each pixel is equipped with dedicated signal processing capabilities including threshold comparison and time constant filtering. This local quality enhancement allows each pixel to independently evaluate its signal quality, improving overall detection precision while reducing false alarms through localized noise rejection.
2Measurement precision
If high sensitivity detection is implemented to detect low-intensity flashes, then detection accuracy improves, but background noise interference increases
Solution Approach 1:
The detector performs preliminary signal evaluation at each pixel by comparing signals against predetermined thresholds and time constants before full processing. This preliminary action filters out obvious noise components early, allowing high sensitivity detection to proceed with reduced background noise interference.
Solution Approach 2:
The signal processing unit uses feedback mechanisms where detection results from individual pixels inform the overall detection decision. The system continuously adjusts its response based on feedback from threshold comparisons and time-constant filtering, maintaining high detection accuracy while suppressing background noise through adaptive signal evaluation.
3Productivity
If frame-based readout is used for image sensor, then data structure is simple, but detection speed decreases for short-duration flashes
Solution Approach 1:
The detector implements periodic threshold comparison and time-constant filtering operations at each pixel, synchronized with the flash detection requirements. This periodic action structure enables fast detection of short-duration flashes while maintaining a regular, manageable data flow that balances detection speed with processing complexity.
Solution Approach 2:
The system skips unnecessary processing steps by implementing event-driven readout where only pixels exceeding thresholds are fully processed. This rushing through of critical detection events while skipping routine frames improves detection speed for short flashes without requiring complete frame-based readout of all pixels.
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
The solution effectively reduces background noise interference, enabling the detection of short optical signals with high sensitivity and accuracy, reducing false alarms and improving the detection of laser warnings and enemy fire, while allowing for flexible operation with varying hardware capabilities.
Implementation Method 1
an image sensor and a signal processing unit. The image sensor comprises a large number of pixels for capturing the detection signal and the background
Data Source
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AI summary
The invention relates to a detector unit for detecting a detection signal from a localized optical source in front of a background (H). The detector unit comprises an image sensor (110) and a signal processing unit (120). The image sensor (110) comprises a plurality of pixels (111, 112,...) in order to detect the detection signal and the background (H). The image sensor (110) is designed to generate an image signal (S) independently for each pixel (111, 112,...) depending on the detection signal and the background (H). The signal processing unit (120) is designed to compare the image signal (S) with a threshold (SW) for each pixel (111, 112,...) and to output event data (125) if the threshold (SW) is exceeded within a duration (Δt). The threshold (SW) and the duration (Δt) can be adjusted.