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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.

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...

Anatomy of the Eyeball

Anatomy of the Eyeball

The eye is a spherical, hollow structure composed of three tissue layers. The outer layer — the fibrous tunic, comprises the sclera — a white structure — and the cornea, which is transparent. The sclera encompasses some of the ocular surface, most of which is not visible. However, the 'white of the eye' is distinctively visible in humans compared to other species. The cornea, a clear covering at the front of the eye, enables light penetration. The eye's middle...

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Related Experiment Video

Updated: Jun 5, 2025

Automated Charting of the Visual Space of Housefly Compound Eyes

Automated Charting of the Visual Space of Housefly Compound Eyes

Published on: March 31, 2022

Advanced visual components inspired by animal eyes.

Sehui Chang¹, Duk-Jo Kong², Young Min Song^1,2,3

¹School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.

Nanophotonics (Berlin, Germany)

|December 5, 2024

Summary

This summary is machine-generated.

This review explores bio-inspired artificial vision systems. By mimicking biological eyes, these advanced systems offer high-performance visual processing for complex environments, improving efficiency in robotics and autonomous vehicles.

Keywords:

bioinspired vision image sensors nanostructures optical design retinomorphic devices

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Published on: November 27, 2017

Related Experiment Videos

Last Updated: Jun 5, 2025

Automated Charting of the Visual Space of Housefly Compound Eyes

Automated Charting of the Visual Space of Housefly Compound Eyes

Published on: March 31, 2022

VisualEyes: A Modular Software System for Oculomotor Experimentation

VisualEyes: A Modular Software System for Oculomotor Experimentation

Published on: March 25, 2011

Techniques for Investigating the Anatomy of the Ant Visual System

Techniques for Investigating the Anatomy of the Ant Visual System

Published on: November 27, 2017

Area of Science:

Biomimetic engineering
Optics and photonics
Computer vision

Background:

Conventional artificial vision systems face challenges in dynamic environments, leading to decreased efficiency.
Current systems often involve complex components for image acquisition and processing.
There is a need for more efficient and adaptable artificial vision solutions.

Purpose of the Study:

To review advancements in artificial vision components inspired by biological eyes.
To explore how biological eye structures can inform the design of high-performance visual processing systems.
To highlight bio-inspired strategies for improved imaging optics, light management, and retinomorphic devices.

Main Methods:

Review of scientific literature on biological eye structures (single-lens and compound eyes).
Analysis of micro-optic and nanophotonic components in natural vision systems.
Examination of bio-inspired approaches in imaging optics, light-trapping, filtering, and retinomorphic devices.

Main Results:

Biological eyes utilize simple structures with micro-optic and nanophotonic features for diverse imaging.
Bio-inspired designs offer potential for enhanced imaging optics, light management, and retinomorphic sensors.
Mimicking biological strategies can lead to more efficient and adaptable artificial vision systems.

Conclusions:

Biological eyes provide a blueprint for developing advanced, efficient artificial vision systems.
Further research into biological structures can unlock new possibilities for high-performance visual processing.
Implementing bio-inspired designs addresses current limitations in artificial vision technology.