Computer Vision is a subfield of Artificial Intelligence which has enjoyed great industrial success in recent years driven by adoption of neural networks and cheap access to cameras. The term computer vision broadly refers to the computer algorithms which interpret and analyze visual data. While the field is arguably still quite young and amazing new advances are being made every day, computer vision has already find various interesting applications in many different fields. For example, in the area of security, computer vision algorithms are used for face recognition, fire arm detection, video analysis, image super resolution among other things. In healthcare, computer vision algorithms now analyze x-rays and detect diabetic retinotherapy. Virtual reality is another exciting area where computer vision algorithms have been applied successfully, most notably by social media apps like Snapchat and TikTok. The same computer vision algorithms are also being used innovatively in areas like manufacturing, agriculture and census data collection among many other fields. Qult AI has extensive expertise in designing computer vision solutions. Our portfolio in this area includes, but not limited to, 3D reconstructions of complex geometrical shapes from 2D-depth images, live facial recognition, monitoring and tracking of individuals on premises through a network of collaborating cameras and vehicle number plate readers from highly blurred snapshots.