학술논문

Synergistic Perception of the Binocular Imitating Human Eyes
Document Type
Conference
Source
2022 International Conference on Mechanical and Electronics Engineering (ICMEE) Mechanical and Electronics Engineering (ICMEE), 2022 International Conference on. :236-240 Nov, 2022
Subject
Components, Circuits, Devices and Systems
Engineering Profession
Visualization
Service robots
Machine vision
Robot vision systems
Collaboration
Cameras
Stability analysis
human eyes
binocular
frame difference method
significance area extraction
multi-motor collaborative control
Language
Abstract
The binocular system of the human eye can accurately focus on the salient areas in the scene, which has great reference significance for the processing volume of simplified data in vision. In response to this method, we propose a method that mimics the attention mechanism of the human eye to complete the bionic machine vision relative to the human eye. According to the principle of the human eye's attention mechanism, the center of multiple cameras can be overlapped with the center of the saliency area while extracting the visual saliency area through the bionic technology that simulates the biological mechanism. The equipment adopts a symmetrical arrangement in structure to reduce the torsional force required by the motor and make the structure more compact. Functionally, the device integrates multiple modules such as image saliency region extraction, visual servings, and multi-motor collaborative control, and has broad application prospects in robotics and intelligent manufacturing.