Computer Vision

What is Computer Vision

Computer Vision is the field of computer science that focuses on replicating parts of the complexity of the human visual system and enabling computers to identify and process objects in images and videos in the same way that humans do.

How can Computer Vision help?

Computer vision is one of the areas in Machine Learning where core concepts are already being integrated into major products that we use every day – like social media AR filters, automated traffic cameras, defect detection in manufacturing etc.

Image Classification

You might have to manually classify your images every time you make some new ones. This can be a massive struggle, using computer vision you can automate image organisation in apps or visual databases to visual search, content moderation, and beyond.

Image Segmentation

Semantic segmentation is a process through which computers determine what category an image belongs to. Our computer vision services can help you obtain that kind of data when you're working on programs dealing with medical diagnostics, robotics, video surveillance, traffic monitoring, and any other application.

Object Detection

Regardless of what type of app or project you are looking to develop, computer vision can help with building facial recognition, crowd count, video surveillance, mask detection, and anomaly detection as well as many other types of features based on your application.

Object Tracking

If you're working on a product that utilizes video, then computer vision is the main aspect to build the best video recognition system for your specific project. CV ensures that the moving objects in a video are accurately identified and tracked without fail when processing large amounts of data.

Pose Estimation

Computer vision interprets data using the most advanced strategies available to date through deep learning. Whether you're in retail, fitness, sports, or gaming and want to train robots with human posture analysis, computer vision makes it a reality.

Generative Adversarial Networks

Computer vision uses algorithmic architectures called GANs which can be used for generating images from descriptions, restoring missing parts, upscaling images to high-res, or adapting their domain.