Abstract

Visual perception refers to the process of organizing, identifying, and interpreting visual information in environmental awareness and understanding. With the rapid progress of multimedia acquisition technology, research on visual perception has been a hot topic in the academical field and industrial applications. Especially after the introduction of artificial intelligence theory, intelligent visual perception has been widely used to promote the development of industrial production towards intelligence. In this article, we review the previous research and application of visual perception in different industrial fields such as product surface defect detection, intelligent agricultural production, intelligent driving, image synthesis, and event reconstruction. The applications basically cover most of the intelligent visual perception processing technologies. Through this survey, it will provide a comprehensive reference for research on this direction. Finally, this article also summarizes the current challenges of visual perception and predicts its future development trends.

Highlights

  • A MONG the five senses, vision provides a wealth of information for humans to observe and understand the world

  • We have summarized some of the limitations and introduced the main challenges faced by current visual perception from the perspective of users and researchers

  • In this paper we have reviewed and analyzed several major application fields of visual perception, including industrial quality inspection, agricultural production, autonomous driving, visual fraud and crowd sensing

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Summary

INTRODUCTION

A MONG the five senses, vision provides a wealth of information for humans to observe and understand the world. Videos to understand the real environment, so that the machine has the ability to replace humans to complete various tasks In industrial applications, this process is called machine vision [2].

INDUSTRIAL APPLICATIONS
Product Surface Defect Detection
Intelligent Agricultural Production
Intelligent Driving
Image Synthesis
Event Reconstruction
Pose Measurement
THE SERIOUS CHALLENGES FACED BY VISUAL PERCEPTION
Vision acquisition
Information Security
Construction in deep learning
Computing power and device volume
The combination of software and hardware
DEVELOPMENT PROSPECTS OF VISUAL PERCEPTION
Findings
CONCLUSION

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