Advantages of machine vision
| 1)The system can check whether the design parameters and quality parameters are met. It can not only detect whether the products on the production line are qualified, but also find out the defects and their locations; |
| 2)Machine vision systems enable automatic positioning of products in production, ensuring they are ready for the next step; |
| 3)Machine vision uses the edges of objects to locate, identify, and measure them; |
| 4)After deep learning, machine vision can recognize non-standard characters and numbers even under challenging conditions. |
What is machine vision
Machine vision is the ability of a machine to observe its surroundings and make decisions based on visual input such as image data or video data in industrial settings. It is implemented by specialized hardware and software that provide image-based sensing and processing in industrial environments. Machine vision is typically deployed through PC-based systems or smart cameras. It can also be used to maintain a safe and secure industrial environment.
Importance of machine vision
In recent years, machine vision has been one of the main drivers of industrial automation. It can help automate factory processes by collecting and intelligently responding to patterns in visual data. From products to people to processes, the smart factory of the future will use machine vision and data analysis to fully control factory operations and ultimately achieve better business decisions. For example, applications such as remote monitoring and edge analytics will provide the insights needed for predictive maintenance, reducing maintenance costs while reducing machine downtime.
Advances in image sensors, vision processors, and a wider range of hardware and software applications provide more options for computational intensity and power consumption, enabling solutions that meet end-user needs in specific industries.
When incorporated into deep learning, a form of artificial intelligence, machine vision systems are now able to perform vision tasks more accurately than the human eye. New machine vision technology solves problems that machines couldn't before -- for example, recognizing characters in low-light conditions and on curved surfaces. They can also handle high-resolution images and high-line-speed defect inspection.
Machine vision systems come in 2 main forms:
Smart cameras with built-in vision algorithms can perform simple inference tasks
A PC-based system that can be a vision control box, an industrial PC, or a vision server with accelerator options and vision analysis software; the new smart camera provides a compact base computing node for machine vision applications. Its processing speed is comparable to PC-based systems, and configuration and setup are flexible and easy.
A PC-based vision system consists of a PC with an operating system and one or more cameras.
A PC is connected to the camera via a frame grabber or Ethernet card to import images. Software applications on the PC then analyze the images and can make judgments and decisions based on the data, and then send this decision data (such as quality pass or fail information) to other systems.
The smart factory of the future will use machine vision and data analysis to fully control factory operations.
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CCD Visual Inspection System Application of Industrial Automation Images
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