Computer vision is a gateway through which we connect the real world with the digital world. Computer vision has become the nerve center of research and development in the field of computer applications. As such, MCA colleges are now offering full-fledged courses both at the bachelor’s level as well as the master’s level in computer vision. In fact, the best MCA colleges in Delhi NCR are known for their state of the art computer vision courses. It is difficult to imagine different modern applications that do not use computer vision in one form or the other. In this article, we take a look at the best applications of computer vision that have transformed the way technology operates in the present times.

Pose estimation

The estimation of the human pose is one of the most exciting applications of computer vision. For pose estimation, we depend upon the human pose skeleton which is the aggregate of coordinates to estimate the human pose. In simple words, we perform pose estimation when a movement is performed by the human skeleton in any image or video. Human pose estimation helps in training various types of robots as well as social humanoids. It also helps in adapting these complex machines to the ecosystem in which they are designed to operate. Pose estimation is also crucial for animation in gaming and provides a real-time experience to the users. It also finds applications in augmented reality where users are given immersive surroundings to work with. When it comes to sports tracking, real-time analytics, and surveillance systems, pose estimation finds application in one way or the other.

Image transformation

One of the most important applications of computer vision is the high level of image transformation which is done with the help of generative adversarial networks. Generative adversarial networks are trained with the help of two different datasets so that a new one is generated that retains some characteristics of previous datasets but is different from them. Thousands of images can be generated with adversarial networks and numerous operations on them can be performed. Some of these operations include powerful editing, image translation, semantic operations, image to text generation, and vice versa.

Novel innovations

With the help of computer vision applications, novel innovations can be developed. For instance, this technology has been employed in the fabrication of social distancing tools during the current pandemic. Consider a busy market that is set open during the time of the pandemic. In order to check that the social distancing rules are properly followed, we can make use of computer vision technology and sound alarms if such norms are violated. In technical terms, this is done by associating each person with a specific frame. Soon after, the bounding box is allotted to the person, and distance is measured using the frame. In case of any violation of social distancing, the bounding box is highlighted.

Model generation

Another important application of computer vision applications is that they help in the creation of three-dimensional models from two-dimensional images. Different types of artificial intelligence systems like generative query networks are used in this regard. In specific terms, it is important to conceive an AI architecture that can correlate the properties of a two-dimensional image with a three-dimensional model. This technology finds applications in medical diagnosis and various types of surgical operations. It also helps in research and development in the field of healthcare.

Medical imaging

The analysis of medical images helps in the diagnosis of various diseases at an early stage. Computer vision applications help in the analysis of various CT scans and X-rays. The advancements in computer vision have enabled healthcare scientists to convert these medical reports into 3D interactive models so that they can be understood in deeper detail. In addition to this, the fabrication of 3D models aids in the research and development of novel visualization technologies in the domain of healthcare.

Future cars

Computer vision finds application in self-driving cars and is pivotal for the development of future vehicles like flying taxis. Self-driving cars and other autonomous vehicles collect data from their surroundings with the help of various sensors that are installed on them. After this data is collected and processed, it is sent to the generative adversarial networks that simulate a virtual environment. This virtual environment provides a picture of the operational surroundings to the vehicle and helps in navigating from one place to another. In this way, computer vision acts as a central nervous system for autonomous vehicles and helps them to communicate with their immediate environs.

The way ahead

In the future, applications of computer vision would increase and involve domains like finance, education, healthcare, e-commerce as well as cyber security. We may also witness some applications of computer vision in logistics and metrology. Computer vision would also be used for surveillance and monitoring systems especially in drones and unarmed aerial vehicles. With the help of computer vision, we would be able to modernize our transportation systems and synchronize vehicle moments in an efficient way. The need of the hour is to channelize more investment in this field to reap maximum benefits in the future.