Optical Sensor Array With Integrate-and-Fire Noise Filtering
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Solution Overview
Problem
Existing optical sensing systems are energy-consuming, bulky, and complex, and they can only detect light signals at specific time instances, missing asynchronous detections.
Innovation Solution
A compact optical sensing system with a matrix of pixel sensors and parallel processing means, utilizing leaky integrate and fire (LIF) neurons for asynchronous detection, integrating outputs from neighboring sensors to filter false detections and ambient light, and employing a two-layer filtering mechanism with different decay rates for reliable detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If synchronous detection is used to detect light signals at specific time instances, then detection reliability is improved, but energy consumption increases and detection coverage is limited
Solution Approach 1:
The patent implements asynchronous detection where the integrate-and-fire circuit continuously monitors photon arrivals without periodic gating. The circuit integrates photon signals continuously and fires whenever the threshold is reached, eliminating the need for periodic synchronization while maintaining detection reliability through continuous monitoring.
Solution Approach 2:
The detection circuit operates continuously without interruption or periodic gating. The integrate-and-fire mechanism maintains continuous integration of photon signals, ensuring that light signals are detected whenever they arrive rather than only at specific time instances, thereby reducing energy consumption while maintaining detection reliability.
2Adaptability or versatility
If frequent checking for light signals is performed to detect asynchronous signals, then detection coverage is improved, but energy consumption increases
Solution Approach 1:
The patent employs continuous integration of photon signals in the detect-and-integrate circuit. The circuit continuously accumulates photon arrivals and only triggers an output signal when the integrated count reaches the threshold within the time window, eliminating the need for frequent periodic checking while maintaining comprehensive detection coverage for asynchronous signals.
Solution Approach 2:
The integrate-and-fire circuit automatically tracks photon arrivals and manages its own integration process without external control or frequent checking. The circuit self-regulates by continuously monitoring photon flux and triggering output only when necessary, reducing energy consumption while maintaining adaptability for asynchronous detection.
3Productivity
If conventional processing with serialized data is used, then system complexity is reduced, but processing speed and efficiency decrease
Solution Approach 1:
The patent divides the processing system into distributed integrate-and-fire circuits, each handling data from specific photodetector elements. This segmentation allows parallel processing of data from multiple photodetectors simultaneously, significantly improving processing efficiency while keeping each individual circuit simple and reducing overall system complexity through modular architecture.
Solution Approach 2:
The patent transitions from serialized sequential processing to parallel spatial processing by distributing the integrate-and-fire functionality across multiple independent circuits corresponding to different photodetector elements. This dimensional shift from time-serial to space-parallel processing dramatically increases processing efficiency without proportionally increasing complexity.
4Reliability
If single sensor detection is used, then device complexity is reduced, but detection reliability decreases due to false detections and ambient light
Solution Approach 1:
The patent combines signals from multiple photodetector elements by feeding their outputs into a shared integrate-and-fire circuit. This merging approach allows the system to distinguish true signals from noise by requiring sufficient photon arrivals across multiple elements within the time window, thereby improving detection reliability without significantly increasing overall system complexity.
Solution Approach 2:
The integrate-and-fire circuit provides feedback by comparing the integrated photon count against a threshold and only triggering output when the threshold is reached. This feedback mechanism filters out false detections and ambient light by requiring sustained signal strength, improving detection reliability while maintaining relatively simple circuit architecture.
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 system achieves low power consumption, reliable asynchronous detection, and compact design by filtering noise and false detections, enabling efficient processing and triangulation for 3D vision applications.
Implementation Method 1
Each photo detector is adapted to output a signal upon detection of a photon
Data Source
AI summary
The present invention relates to an optical sensing system (1) for optical sensing. The system (1) comprises at least one optical sensor (30) comprising a plurality of sensing units (2′), preferably in a matrix configuration, wherein each of said sensing units (2′) is preferably a pixel sensor (2′), wherein each sensing unit comprising a photo detector, wherein each photo detector is adapted to output a signal upon detection of a photon. The system (1) further comprises optics (3) able to produce an image of a scene (4) on said optical sensor (30). The system (2) further comprises a plurality of processing means (5′), wherein each of said processing means (5′) is connected to at least one sensing unit (2′) corresponding thereto. Each of said processing means (5′) is adapted to receive at least one input corresponding to at least one output (7′) of the corresponding sensing unit (2′). Each of said processing means (5′) is adapted to integrate the output (7′, 7″, 7″′) of the corresponding sensing unit (2′, 2″, 2″′) to obtain a first integrated output (10), wherein said processing means is adapted to produce a first output signal (8) when the first integrated output (10) reaches at least a first predetermined value (9) within a first predetermined time span (Δt).