Augmented reality has already proven its positive impact on many businesses. One of the latest trends is so-called WebAR. Indeed, what can be easier than just opening the web page for instant immersive experience? The goal of this project was to develop and optimize the image detection and tracking algorithm for AR applications. The main challenge was to make it work directly in the mobile web front-end with all computations done on the edge.
Our client’s goal was to enhance various printed media (magazines, posters, banners, etc.) with interactive experience using augmented reality. With AR, certain areas on the reading materials can be overlayed with digital information of a different kind: from videos, images, and 3D models to weather information and buttons that bring additional functionality, etc.
Object recognition is an important computer vision and machine learning problem. A specific case is automatic target recognition (ATR) on radar images. ATR can be effectively used for border security, safety systems to identify either man-made objects (such as buildings, ground and air vehicles) or people, as well as for target surveillance. In other words, with ATR one can obtain any visual information about the ground and objects without direct physical contact.
Synthetic aperture radar (SAR) systems are very popular instrument for high-resolution image of ground surface. Unlike to optical systems, SAR can be used in all weather and lighting conditions. A basic idea of SAR technique is coherent processing of received signals on a moving platform (aircraft or satellite). The main challenge is to perform very precise measurements of platform position at each moment of time.
Systems and applications for detecting and tracking moving objects, whether people, vehicles, or anything else, are currently in heavy demand. Such tracking is widely used in security and surveillance, military, entertainment, sports, medical imaging, as well as for augmented reality and robotics. In the case of people trackers, many businesses need AI-powered systems tailored for locating, monitoring, counting and analyzing human flows and behavior.