Machine vision is to use the machine instead of the human eye to make measurements and judgments. Machine vision system refers to the conversion of the ingested target into an image signal by machine vision products (ie, image capture device, divided into CMOS and CCD), and transmitted to a dedicated image processing system, which is transformed according to pixel distribution, brightness, color, and the like. Digital signals; the image system performs various operations on these signals to extract the characteristics of the target, and then controls the action of the device on the basis according to the result of the discrimination. This article introduces ten practical examples of machine vision, I hope to help you!
Design based on the new embedded machine vision system The machine vision system constructed in this paper is an independent and controllable small multi-function system with operating system. It adopts advanced dual-core embedded processor to acquire multi-channel image sensor. Video image signals are collected at high speed and parallel, and image lossless compression and image fusion are performed as needed. The data can be stored in large capacity in real time, and communicate with the host computer through various interfaces. It has a friendly human-computer interaction interface and can drive multiple display screens. Features such as high definition display and information playback.
Application of machine vision in automatic flaw detection of large workpieces The automatic measurement is divided into semi-automatic measurement of the area of ​​interest of the workpiece and automatic measurement of all different areas of the workpiece. By automatically identifying different regions in an industrial CT image, the materials of different materials are defined from the perspective of the region, thereby performing regional measurement with high reproducibility.
Efficient machine vision inspection system based on fractal theory For the detection of increasing surface parameters in material production, this paper introduces an efficient image acquisition and detection system using virtual instrument technology.
Application of integrated DSP-based video processing card in machine vision The high-speed video processing card with integrated DSP can be widely applied to the technical fields involved in machine vision to reduce cost and increase reliability. A high-performance DSP chip is integrated on each image capture card to form a high-speed image processing card, and the CPU is replaced by a DSP instead of a computer. It saves the overhead of the PC and greatly reduces the cost.
The data communication method between ARM and DSP in embedded machine vision system is explained by an embedded machine vision system engineering example. In the embedded system, the Linux operating system is loaded with the dual-core structure of ARM+DSP, and the data is exchanged and exchanged through the HPI interface. The design method, the hardware circuit of the HPI interface connection and the driver under the Linux environment are designed, and the specific application design method of the interface is described.
Implementation of lane departure warning system based on machine vision This paper combines high-speed DSP computing chip and reconfigurable FPGA chip to construct a high-speed embedded vision processing system. FPGA is used as auxiliary logic control and front-end processing module to realize a series of The parallel structure or the pipeline structure completes the underlying algorithm, avoiding the waste of resources and the loss of time caused by the DSP completing these fine-grained algorithms. This article will provide a detailed introduction to the system based on the "flow" order of the data in the system.
Research on Camera Calibration Method Based on Machine Vision This paper studies the camera calibration theory and various methods based on machine vision. Traditional camera calibration requires calibration of the reference. The new practical model that is in line with the physical model of camera imaging and is easy to analyze and calculate is a new development direction. Camera self-calibration is more flexible and practical than traditional methods.
Camera Design for Machine Vision Applications This article explores the CMOS image sensor technology and architectural requirements for machine vision applications. In addition, it will analyze the basic components of machine vision in detail, what conditions the camera needs to meet the application requirements, and how to design a camera that can meet the needs of various machine vision applications while achieving a balance between image quality and cost.
The design of the machine vision system based on the virtual instrument quality control system makes the machine vision analysis function and the virtual instrument control function simultaneously used by the system, so that the system has a high performance-price ratio, and the virtual instrument development platform is used to complete its excellent control. Function, the developer only needs to focus on the integrity of the system function without having to consider the complicated details, which greatly exerts the performance of the virtual instrument, makes the system have strong flexibility and expandability, and saves the development to pay. The cost increases the performance-price ratio of the system.
Design and implementation of DM642 machine vision system For the practical needs of large amount of data, high speed transmission, complex operation and network in machine vision algorithm, AD9200 is designed as video acquisition A/D, DSPsTMS320DM642 as core processor, application network technology A real-time video processing system that performs image transmission and controls output with an FPGA and implements image preprocessing functions.
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