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Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
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Published on: March 13, 2017

An address-event vision sensor for multiple transient object detection.

V Chan, C Jin, A van Schaik

    IEEE Transactions on Biomedical Circuits and Systems
    |July 16, 2013
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new vision sensor chip for detecting moving or light-changing objects. It uses a novel circuit to pinpoint object locations via address-event representation.

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    Design and Analysis for Fall Detection System Simplification

    Published on: April 6, 2020

    Area of Science:

    • Computer Vision
    • Neuromorphic Engineering
    • Integrated Circuit Design

    Background:

    • Transient objects, characterized by motion or changes in light intensity, pose challenges for traditional imaging systems.
    • Existing vision sensors often struggle with efficient detection and localization of dynamic visual events.
    • Address-event representation (AER) offers a sparse, event-driven method for transmitting visual information.

    Purpose of the Study:

    • To develop and characterize a novel vision sensor chip capable of detecting and locating multiple transient objects.
    • To implement a unique onset detection mechanism for identifying dynamic visual changes.
    • To utilize a dynamically-wired winner-takes-all (WTA) circuit for efficient object grouping and brightest pixel selection.

    Main Methods:

    • Design of a custom vision sensor integrated circuit (IC).
    • Implementation of a novel onset detector circuit to identify transient events.
    • Integration of a dynamically-wired winner-takes-all (WTA) circuit for pixel grouping and selection.
    • Characterization of the sensor chip's performance through experimental measurements.

    Main Results:

    • The developed vision sensor chip successfully detects multiple transient objects.
    • The sensor outputs object locations using address-event representation (AER).
    • Measurements confirm the effective operation of the onset detector and WTA circuits in identifying and localizing objects.

    Conclusions:

    • The novel vision sensor chip provides an efficient solution for detecting and locating transient objects.
    • The implemented AER output facilitates sparse and event-driven data transmission.
    • This technology holds potential for applications requiring real-time dynamic visual event detection.