"Computer vision encompasses all industrial and non-industrial applications in which a combination of hardware and software provides operational guidance to devices in the execution of their functions, based on image capture and processing."
Automated Imaging Association (AIA)
The arrival of Artificial Intelligence (#AI) and the Internet of Things (#IoT) are key in today's activities, so much so that they have brought great advances to the management and administration of #information.
In the early 1970s, computers were already using specific algorithms to process images and identify specific characteristics of things. #OCR (Optical Character Recognition) is a process aimed at digitizing texts, which are automatically identified from an image. Over the years, artificial vision systems have advanced in the use of protected digital sensors inside industrial cameras to obtain images, which allow computer #hardware and #software to process, analyze and measure various characteristics through the images, for decision making, which today is known as #MachineVision.
Today many organizations use Machine Vision instead of Human Capital, since it allows more efficient, faster processes and works continuously (24/7) inspecting thousands of processes per minute.
3 categories of artificial vision systems: 1D, 2D and 3D:
1D
Instead of looking at an entire image at a time, it analyzes a digital signal one line at a time. It can detect defects in materials manufactured in a continuous process, such as plastics, metals, among others.
2D
The most common inspection cameras perform area scans that involve capturing 2D snapshots in various resolutions, constructing a 2D image line by line.
3D
In these types of systems, multiple cameras mounted in different locations and "triangulation" are involved in a target position in 3-D space.
It is a reality that Machine Vision is revolutionizing the automation of all types of processes, where it is generating greater productivity, better quality controls, and safety and in itself greater efficiency in the development of processes. What will Machine Vision's next step be in the years to come?
