Important Things To Know About Machine Vision!
This blog will talk about some of the most important topics regarding machine vision for real-time. But before we dive into the thick of it all, it is important to know what machine vision is.
What is machine vision?
Machine vision may be defined as a technology that allows automatic inspection and analysis for applications such as process control, automatic inspection, and robotic guidance, with the help of image processing. In the simplest of terms, machine vision is the ability of a computer to inspect the surrounding environment.
A machine vision system tends to work with the help of a sensor in a robot for inspecting and identifying a particular physical entity in the surrounding using a computer. There are various industries nowadays that tend to benefit from machine vision and some of them are material inspection, object recognition, recognition of optical characters, currency recognition, electronic component analysis, pattern recognition, and many more.
Machine Vision v/s Computer Vision
Machine vision and computer vision can be considered to be overlapping technologies. As mentioned earlier, machine vision requires a computer and a certain software tool to function accurately. On the other hand, computer vision doesn’t need the help of any machine to function. For instance, computer vision has the ability to analyze videos or images online, infrared sensors, images from motion detectors, and various other sources. Machine vision for real time is known to be a sub-class of computer vision.
Benefits of real-time machine vision
The following are some of the most significant advantages that can be achieved with the help of real-time machine vision.
· It tends to support several motion-application development platforms such as cameras and HPC clusters through a dedicated and intuitive API.
· It allows proper harnessing of the full potential of modern hardware through customizations in several kinds of technologies.
· Real-time machine vision provides you with greater freedom and flexibility as it supports Windows 10, Windows 7+ 64-bit, and RTOS.
Process and steps involved in machine vision
It is time to figure out how all the elements function together when machine vision inspects a product in a manufacturing operation.
· The process commences when a sensor identifies that a physical entity is present nearby.
· This sensor then signals a light source to light up the area and a camera to capture a picture of the entity.
· Then, the frame-grabber converts this picture into digital output.
· This digital output is then saved on a computer in order to be examined by the system software.
· The software tool then compares the digital file against a wide range of predetermined criteria to determine any kind of anomaly. If the software detects any such anomaly, the product would fail inspection.
Now that you have better knowledge about machine vision for real-time, you are in a much better position to make a well-informed decision regarding this technology.
