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. It involves methods for acquiring, processing, analyzing and understanding digital images, and 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 identifications, verification and other wide ranges of vision related applications. We use computer vision algorithms in creating special effects in movies. At the same time it is used in medical imaging for image guided surgery. Computer vision based Optical Character Recognition(OCR) applications are more efficient and highly accurate at recognising handwriting.

In sports- In a game when they draw additional lines on the field. It is applicable in medical Imaging- 3D imaging and image guided surgery. 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, Optical Character Recognition (OCR) . Our engineers have built a system which can recognize native character 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 have 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 analzye 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 stocks and inventory the retail industry can make customer experience seamless. Computer vision enabled cameras are used today analyze foot traffic, optimize the sales experience and reward regulars.

Augmented Reality
Augmented Reality

Computer vision can be used to augement user’s view in real time. By adding an imformation 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 as 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.