Machine vision can simply be described as the eyes of a machine. In the machine vision system, basically, a single camera or multiple cameras are used to attain a digital input which is then utilized to improve the efficiency and operations in any business. The machine vision systems available in the market are economical, highly accurate, robust, and completely reliable. Here are the 6 most incredible applications of a machine vision system.
Machine vision is very useful for most industries where manufacturing takes place. It offers proper guidance in locating a specified component and ensuring proper placement and placement so that production runs impeccably and without any errors and downtime. It can even identify the proper location and orientation of a specific component. The machine vision guidance helps in more precise and efficient production than any other manual means.
The machine vision system also helps in the identification of different products in various stores. It can read barcodes and data matrix codes to recognize and distinguish different products. It helps the most in error-proofing production as well as the packaging processes. This stupendous system is much faster and produces accurate results. For example, identification of clothes tags in the garment shop.
Gauging is another most popular application of machine vision. In this technique, the camera module makers install a fix-mount camera in the machine that helps in the recognition of two or more points on any item in the production line. Machine vision grading offers a greater speed and accuracy as compared to the other techniques.
Machine vision inspection is basically a way of fault detection of any object. It is a much flexible operation and is used for the inspection of different agricultural products and industrial products. For example, it is used for the inspection and fault detection of branding marks in prescription tablets.
Object detection is slightly different from the other techniques as in this type there is only an object is analyzed, and there is no creation of an entire image. It is used for quality management, sorting, assembly line, inventory management in different manufacturing sectors. For example, it can be used to analyze the image of a car engine.
This detection is ideal for prints, labels, and packaging inspection. As the name suggests, it detects the printing defects that could lead to lower revenues, deterioration and reduced profitability of final products.