Method for setting universal vision detecting system

Abstract

The invention relates to a method for setting a universal vision detecting system. The method includes the following steps: 1, initializing the vision detecting system, wherein an information inputting module inputs user login authority, camera information, communication modes and the like, a camera setting module selects a certain number of cameras to load the vision detecting system according to the information input by the information inputting module, a communication protocol module uses a serial port RS232 to set a TCP / IP protocol of a computer according to the number of the cameras, and vision data collected by the external cameras is input into the vision detecting system through the communication protocol module; 2, setting tools, wherein an image adjusting module adjusts image focal lengths and exposure values of the vision data collected by the external cameras, an algorithm module calls the assignment algorithm into an algorithm library to analyze and process the vision data, and a logic outputting module outputs the formats, calculations and conditions of the analyzed and processed data to an upper computer; 3, completing setting, wherein the vision detecting system enters a running state, and information docking is conducted between the vision detecting system and an upper computer system of a client by setting an online state.

Description

technical field [0001] The invention relates to a general visual detection system, in particular to a setting method of the general visual detection system. Background technique [0002] The machine vision system is to use machines instead of human eyes for measurement and judgment. The vision system refers to converting the ingested target into an image signal through machine vision products, sending it to a dedicated image processing system, and converting it into a digital signal according to pixel distribution, brightness, color and other information; the image system performs various calculations on these signals. Extract the characteristics of the target, and then control the on-site equipment action according to the result of the discrimination. It can measure, guide, detect, and identify the product on the fastest production line, and can complete the production task with quality and quantity. Machine vision systems generally include light sources, lenses, CCD camer...

AI Technical Summary

Problems solved by technology

During the development process of the vision system, the programmer can choose the corresponding algorithm according to the customer's needs. For example, if the customer needs the robot to guide the alignment, the pattern matching tool in the algorithm library is called to guide the robot to accurately grasp the material, but the disadvantages Because: 1. The long development cycle is not conducive to the overall development progress of customer projects; the professional technical level of developers is high, and the number of personnel is large, especially in the current shortage of high-tech talents in the visual industry

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