Technology is reliable due to its ability to store huge amounts of information and keeping it safe. Although computer vision market poses a challenge at using it due to the security reasons, there are many advantages in using it than the disadvantages. There is a need for more efficiency and subject specific treatment that’s needed in the field of medicine.
The computer vision market is expected to grow from $10.9 billion to $17.4 billion from 2019 to 2024. This investment Is needed in order to increase the efficiency in quality automation and inspection. This is useful as with the help of digital cameras or videos and the knowledge of deep machine learning algorithm, the computer vision is able to detect and defect in the machine and hence important for maintenance purpose.
The smart camera technology and the Internet of Things is the need. The smart cameras need to be enhanced or worked on in computer vision systems. This is an achievable task due to the small size and compatibility of these computer vision systems that the changes are easily made in them.
Automation is the process used in assembling vehicles in automotive industry and as a result the adoption of computer vision systems is high and more effective in turn. The reason why automation is important is due to the fact that the computer vision market for the automotive industry as a whole is run by automation.
The computer vision program let’s easy functioning of operation and keeps in mind its quality as well. In the North America, the government has made it mandatory to use it due to it’s efficiency and fast work. The pharmaceutical and food and packaging industry is compulsorily using this.
The field of medicines involves a variety of spheres such as the hardware, software, surgery related, medical imaging, diagnostic etc.
It’s not only important in diagnosing the disease in a patient faster but even saving the doctor’s time. The evolution of diseases can be monitored and studied with these technologies as now it’s easier, faster and more convenient to diagnose and study a sort of microbe.