Artificial vision is a subset of artificial intelligence (AI) focused on developing techniques that enable machines to identify and process images in the same way that human vision does. This technology has many applications in the industry, and in this post, we’ll discuss some of them.
Artificial vision systems are a combination of hardware and software with the ability to capture and process data and images. These systems offer high precision, consistency, and mechanical and thermal stability. They are typically composed of digital sensors embedded in industrial cameras capable of analyzing images and data.
How does Artificial Vision work?
This technology is integrated into the industry and is part of the production chain. Artificial vision systems give machines the ability to process an image, emulating human vision, but with some distinctive characteristics.
The process and operation of these systems start with image acquisition, for which we need to have sensors. These will capture images that, along with software applying the necessary processes to the image, will detect defects, perform measurements, move parts, or perform any other function for which the machine has been designed.
What is artificial vision used for?
Artificial vision is part of one of the areas of Artificial Intelligence. These concepts are already being integrated into the main products we use daily. Furthermore, these systems have applications in various areas, from the healthcare sector to the automotive industry.
One of the clearest examples is cars. These have video cameras that, from different angles, record images and transmit them to artificial vision software, which processes them in real time and finds the edges of the lanes, reads traffic signs, detects other vehicles, objects, and pedestrians.
What other application does artificial vision have in everyday life? You probably have a phone in your hands that features facial recognition. The algorithms of artificial vision can detect facial features and compare them with the database. These applications are used for facial recognition, to detect and label users.
In other fields such as healthcare, artificial vision algorithms can help automate tasks such as detecting cancerous moles in skin images or searching for symptoms in X-rays and MRI scans.
How do we apply artificial vision at i-mas?
In the engineering department of I-MAS, we have developed projects for various sectors, which has allowed us to gain a better understanding of the industry to offer comprehensive solutions for automating various processes. We work to provide the best machinery with artificial vision and other technologies to our clients.
The common thread of our projects is sustainability; we consider the different processes throughout the life cycle of a machine and work to ensure that each step is environmentally friendly.
Discover more about i-mas artificial vision projects at this link.