Computer Vision

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Computer Vision

Our engineers can build, deploy, and maintain Machine Learning models to efficiently improve capabilities in medical imaging. We built a Machine Learning model which uses 2D radiographic images and aligns them to a multitude of 3D bones models.

What is Computer Vision?

Computer vision is a field of computer science that works on enabling computers to see, identify, and process images in the same way that humans do. It involves methods for acquiring, processing, analyzing, and understanding digital images, as well as extracting high-dimensional data from the real world in order to produce numerical or symbolic information. Computer vision is concerned with the theory behind artificial systems that extract information from images.

Why Computer Vision?

Computer vision algorithms are used in a wide range of vision-related applications, such as identification and verification. We use computer vision algorithms to create special effects in movies. At the same time, it is used in medical imaging for 3D imaging and image-guided surgery. Computer vision-based Optical Character Recognition (OCR) applications are more efficient and highly accurate at recognising handwriting.

In sports games, computer vision is used when they draw additional lines on the field. We use computer vision in space, in video games, in mobile and industrial robots, and in so many other industries with which we are directly or indirectly associated.

As a company, our experiences include image matching and Optical Character Recognition (OCR). Our engineers have built a system which can recognize native characters and numbers for a telecommunication sector. Also, we are building a system for matching 3D pointcloud to 2D images.

Implementation of Computer Vision

Computer vision technology is very versatile and has been adapted to many industries. Computer vision algorithms are used for:

Motion Recognition
Motion Recognition

Computer vision algorithms are used to detect activity and can be used to analyze the type of motions and what action to take. Similarly, it can be used for surveillance cameras to only record when there are movements.

Retail Industry

From automatically registering items in a shopper’s basket to using smart cameras to detect low stock and inventory, the retail industry can make the customer experience seamless. Computer vision-enabled cameras are used today to analyze foot traffic, optimize the sales experience, and reward regulars.

Augmented Reality
Augmented Reality

Computer vision can be used to augment a user’s view in real time. By adding an information layer to what the user is seeing, augmented reality can be used to enhance and provide more context to what we see.


In healthcare, computer vision is being used not only to complement routine diagnostics but also to better detect diseases. Computer vision is essential for better understanding and diagnosing a wide range of conditions.

Receipt Imaging
Autonomous cars

Computer vision is a huge component of autonomous cars. The data obtained from a combination of sensors, camera, radar, and artificial intelligence is used by computer vision to plot and navigate a route without the need of a human operator.