Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Visual System

Visual System

Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...

Vision

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.

Parallel Processing

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Hydrated Network Interphase with Dynamic Negatively Charged Microregion Enables Ultra-Stable Aqueous Zinc-Ion Batteries.

Nano-micro letters·2026

Same author

Global inequalities in non-carcinogenic health risks associated with drinking arsenic-contaminated groundwater.

Journal of hazardous materials·2026

Same author

Free-Anionic Duality of Interstitial Electrons Drives Superconductivity in Electride La<sub>3</sub>In.

Journal of the American Chemical Society·2026

Same author

Aethrene: A Stable Polycyclic Aromatic Hydrocarbon With a Triplet Ground State.

Angewandte Chemie (International ed. in English)·2026

Same author

An integrated CMOS micro search‑coil magnetometer with on‑chip calibration and a low‑noise amplifier.

Microsystems & nanoengineering·2026

Same author

Single-cell profiling unveils an exhaustion trajectory of ZNF683<sup>hi</sup> tissue-resident alveolar CD8<sup>+</sup> T cells in checkpoint inhibitor pneumonitis.

Med (New York, N.Y.)·2026

Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026

Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026

Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026

Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026

Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026

Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 23, 2025

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

Extreme Early Image Recognition Using Event-Based Vision.

Abubakar Abubakar¹, AlKhzami AlHarami¹, Yin Yang¹

¹Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha P.O. Box 34110, Qatar.

Sensors (Basel, Switzerland)

|July 14, 2023

Summary

This summary is machine-generated.

This study introduces an innovative image recognition technique using event-based data, enabling object recognition before full image capture. This method significantly reduces computational load, storage needs, and power consumption compared to traditional frame-based systems.

Keywords:

convolutional neural network early image recognition event-based camera sensors

More Related Videos

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Published on: December 8, 2023

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Related Experiment Videos

Last Updated: Jul 23, 2025

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Published on: December 8, 2023

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Area of Science:

Computer Vision
Machine Learning
Sensor Technology

Background:

Frame-based imagers require high storage, computation, and power.
Event-based imagers offer lower power consumption and latency by outputting asynchronous pixel events.

Purpose of the Study:

To propose an innovative image recognition technique using event-based data.
To achieve early image recognition prior to full image acquisition.
To reduce computational overhead, storage requirements, and power consumption.

Main Methods:

Developed an image recognition technique operating on event-based data, not frame-based data.
Utilized a collected event-based dataset (CeleX imager) and five public event-based datasets for validation.
Employed neural network (NN) testing metrics to evaluate early detection times.

Main Results:

Recognized images on average 38.7 ms before the first perfect event and 603.4 ms before the last event.
Achieved a 34% and 69% reduction in time needed for recognition, respectively.
Reduced processing by 37% (9460 events earlier) compared to waiting for the first perfectly recognized image.

Conclusions:

The proposed technique enables extreme early image recognition using event-based data.
This approach significantly reduces computational overhead, storage, and power consumption.
An enhanced NN method further optimizes recognition time, establishing a new paradigm in image recognition.