Computer Vision Future Trends

Since the emergence of big accessible data and the growing popularity of computer vision applications, information has run our world. And artificial intelligence in its turn has captured the world of information, being now able to process not only text but pictures and videos, which makes us wonder what kind of computer vision future trends they might bring us to in a couple of years. But the fact that smart vision systems will provide businesses with unmatched opportunities and enhance performance is indisputable.

Computer Vision in Simple Terms

CV is literally an ability of artificially intelligent computer systems to see objects and analyze them in real-time and act according to a preset algorithm. Just like human beings, computers can be trained to identify separate items in any kind of visual input and understand what’s going on there. Machine learning based on neural networks is the core of the computer intelligence phenomenon.

The Future of Computer Vision

The rapid advancement of CV systems has captured business attention that seeks ways to implement innovative solutions to enhance enterprise productivity. Among dozens of predictions about future applications of computer vision, we’ve picked out those that will be able to bring your business to the next level.

Face Recognition

Face recognition has established itself as one of the main computer vision future trends. Among the workspace tasks, it can enhance security management systems, strengthen the enterprise computing systems entrance, supervise product quality, and redirect human resources.

Augmented Reality

Another multipurpose CV technology that can be implemented in an array of ways. For instance, augmented reality can be widely applied to 3D modeling to save costs and time on building sample product versions. AR can also be applied for employee training to avoid the cost of mistakes they could make at the workplace. One more function AR can perform is to enhance customer experience by providing them a chance to try out products and see the results before the purchase.

Inbuilt Vision

Enterprises that deal with knowledge-intensive products like cars, aircraft, smart house systems, household appliances, and smartphones can benefit from computer vision by integrating making their products autonomous and capable of solving tasks without human interference. This is a relatively new but highly promising computer vision trend.

How Does it Works and What Makes it Challenging

Now let’s take a step to understanding computer vision. The two indispensable technologies to make computers see are deep learning and convolutional neural networks. Deep learning formulates algorithms according to which machines can self-teach. But the ability fully relies on the number of sample images a machine is supplied with to train itself in object recognition. The more images – the more accurate result computer vision systems will bring.

A convolutional neural network is basically an integral part of deep learning that was designed after the human brain neuron organization. It breaks images into pixels and gives each one a tag, according to which the computer can make a prediction about the content it is dealing with.

The main challenge that has kept CV from rapid advancement long ago is the fact that we are not quite sure how our natural vision works. Researches in the field require surveys of perceptive organs and brain signal interpretation algorithms which are particularly difficult to extract.

Another crucial issue for enhancing computer vision applications like the ones developed by InData Labs is the diversity of settings objects can occur in the real world. Different lighting, angles, perspective, color, and a myriad of other changeable conditions make the technology less sharp and determine the need for adequate image supply during the machine learning process.

The Final Thought

The computer vision future scope can hardly be limited to a certain number of implementation patterns or contained by the above-mentioned challenges for a long time. Business needs will drive Artificial Intelligence to meet its purposes, so in a year or two, we are sure to find out a dozen more functional applications of computer vision systems that will soon enable enterprises to reach the maximum of their potential.