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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...

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Imagining machine vision: Four visual registers from the Chinese AI industry.

Gabriele de Seta¹, Anya Shchetvina²

¹Department of Linguistic, Literary and Aesthetic Studies, University of Bergen, Bergen, Norway.

AI & Society

|September 23, 2024

Summary

Chinese companies articulate machine vision through sociotechnical imaginaries, focusing on computational abstraction and human-machine coordination. This creates narrow, opaque representations of artificial intelligence technologies.

Keywords:

Artificial intelligence China Machine vision Sociotechnical imaginaries Tech industry Visual culture

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Area of Science:

Computer Science
Sociology of Technology

Background:

Machine vision is a key artificial intelligence (AI) application, dominating China's AI market.
Technologies like facial recognition and automated driving are integral to surveillance and social governance.
Sociotechnical imaginaries shape the definition and development of emerging technologies.

Purpose of the Study:

To analyze how leading Chinese companies represent machine vision technologies.
To understand the role of sociotechnical imaginaries in shaping these representations.
To identify the visual registers used to articulate these imaginaries.

Main Methods:

Qualitative multimodal analysis of corporate websites of major Chinese machine vision players.
Examination of visual and textual content to identify recurring themes and representations.
Application of the concept of sociotechnical imaginaries to interpret findings.

Main Results:

Identification of a cohesive sociotechnical imaginary of machine vision in China.
Discovery of four distinct visual registers: computational abstraction, human-machine coordination, smooth everyday, and dashboard realism.
These registers contribute to a narrow and opaque portrayal of machine vision.

Conclusions:

Chinese tech companies utilize specific sociotechnical imaginaries to represent machine vision.
The identified visual registers serve to articulate global ambitions and competitiveness.
These representations may obscure the complexities and implications of machine vision technologies.