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Nov 20, 2021

What are the components of a mobile robot vision system?

Intelligent mobile robot, a comprehensive system integrating multi-functional functions such as environment perception, dynamic decision making and planning, behavior control and execution. A mobile robot is an intelligent robot that works in complex environments with self-organization, autonomous operation, and autonomous planning, incorporating computer technology, information technology, communication technology, microelectronics, and robotics.


The vision system of a mobile robot refers to the vision system of a mobile robot, which includes two parts: obtaining images through sensors, and processing the images through a computer processor. Generally speaking, the vision system of a mobile robot consists of the following components.


1. one or more light signal generators, which can be natural light signal emitters such as reflected light from the ambient light of the object, or artificial light signal emitters such as flash lights, laser light sources,.


2, one or more sensors used to receive the reflected light signal of the structure, such as a camera, the image generated by such a camera can be said to be the original image, but this sensor is not necessarily an optical sensor, can also be an ultrasonic sensor,.


3, image acquisition card, the received image is converted into a binary code that can be recognized by the computer for subsequent processing.


4、The image is enhanced and denoised, and the defects in it are removed and corrected, etc.


5、Image storage description of the transformed image, giving the necessary information.


6、Feature extraction, which derives relevant information according to various laws, algorithms and other guidelines.


7、Target recognition, which is used to compare the extracted image features with the image features recorded during the training phase. The recognition may be overall recognition, local recognition, or zero-level recognition. Regardless of the result, the robot must decide to take the appropriate action according to the result of the recognition process. During this phase, any error may cause uncertainty in performance.


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