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Computer vision is an artificial intelligence technology that allows computers to “see” the way humans do. Using AI and machine learning, computer vision technology is improved every year with the help of better and better versions of visualization, thanks to which machine perception becomes almost reliable. The development of computer vision is, therefore, an increasingly exciting issue. This article will look at the technology’s capabilities and the likely version of its future.
With the development of the Internet and technologies, we can now confirm that we live in a society of images. Nowadays, anyone can use their smartphone’s camera to take a photo or record a video and share it on the web or social media. In addition, hundreds of hours of videos are uploaded to platforms such as YouTube every minute. All these images that flood the Internet are full of data that can be valuable to businesses. However, to collect and analyze this data, computers must be able to “see” the image and understand its content. That is the primary goal of advanced computer vision technology.
What is computer vision?
Computer vision refers to various techniques that enable computers to perceive and understand the content of images and videos available in digital formats. It is a sub-category of artificial intelligence and machine learning. In ML and AI, computer vision is used to teach a model to recognize specific patterns and store data in memory to predict outcomes in real life. The immediate purpose of image identification for computer vision technology in ML and AI is to train algorithms and create a system that can function without human intervention. The field of computer vision combines many techniques from different areas of engineering or computer science. In general, other methods are designed to recreate human eyesight. The entire process includes data acquisition methods, processing, analysis, and understanding of digital images for use in a real-world scenario.
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The role of computer vision in artificial intelligence and machine learning
Computer vision is advancing in many fields. For example, the development of artificial intelligence to machine learning plays a vital role in helping machines identify different types of objects in their natural environment. From simple household tasks to recognizing human faces, detecting objects in autonomous vehicles, or fighting enemies in war, computer vision is the technology that enables AI-compatible devices to operate efficiently.
The application of computer vision to AI is becoming unlimited. It is now expanding into new fields such as automotive, healthcare, retail, robotics, agriculture, autonomous flight, drones, and manufacturing. Computer vision will be more and more present in various areas of our lives in the future. Not only in business but also has the potential to affect the everyday life of each of us.
Future and development of computer vision
Like the human brain, which needs the five senses to function and make consistent decisions, automatisms need precise, reliable, and efficient sensors to execute their choices. It is impossible to create a robot without a powerful artificial vision system in artificial intelligence. The integration of synthetic vision enables a higher level of automation to be achieved. Production lines, and robots, in particular, become more efficient by adapting to various changes in the production process without repeated reprogramming. Artificial vision makes it possible to perceive information in places, on frequencies, or over long periods that the human eye simply cannot.
From specialized vision sensors to high-performance multi-camera systems, a simple 2D image sensor in the future will enable us to recognize shapes and analyze contours. At the same time, the 3D design will allow us to explore volumes, fields, and depths. Knowing this, you can imagine the role that a more capable camera could play in daily operations, which could check and analyze characters, images, logos, and colors, as well as to measure dimensions, distances, and detect the movements and presence of other people or objects in the environment. Then you can imagine an industry and manufacturing industry where valuable labor is transferred to more demanding tasks. A system devoid of judgmental fluctuations, mood swings, or fatigue will be responsible for flawless quality control of complete routine and repetitive activities. Sounds fascinating right? So let’s look at a few areas in our lives that can evolve thanks to the development of computer vision.
SECURITY
Thanks to the development of computer vision, the security guard profession will not have to be content only with filming and recording with a timestamp. Instead, they will be able to use segmentation to check that no one is entering the designated areas to raise the automatic alarm if necessary.
SMART CITIES
Computer vision can be great for the development of smart cities. For example, this technology can identify free parking spaces, overcrowded areas, analyze traffic jams and their density, and count the number of people or vehicles passing through a specific location. Thus, computer vision can improve the quality and safety of residents’ lives and improve the operation of services and city authorities.
PRODUCTION
The production industry also has its use cases of computer vision. Thanks to this technology, it is possible to read and analyze the characters placed on the product to identify it (for example, the engine serial number at the exit of the assembly line). Detection and segmentation allow you to diagnose a match or a defect. In addition, computer vision helps people by checking that all electrical wiring is connected correctly or ensuring that a bolt, nut, or finish has not been forgotten by confirming any anomaly, such as a crack or a blister on the product.
There are many other use-cases for computer vision. There are also new perspectives for applying this technology in other areas of our lives. Almost any AI system that processes visual information is usually based on computer vision. There is, therefore, no doubt that with the development of this technology, the possibilities it offers will undoubtedly multiply. There is a high probability that soon all machines could see, just like humans.
