A cutting-edge AI-driven computer vision solution that extracts all unique faces, objects, and vehicles from camera footage, provides specialized video editing tools, and produces detailed reports with metadata for every video frame.
The solution is designed to automate video processing workflows for police workforce, increase security officials’ productivity, and dramatically improve public safety.
The system relies on a customized version of the OpenCV library to ensure dependable student identity verification as well as effective exam proctoring — with features like face recognition, light level, distance from camera, head movement and headgear detection, and more.
A mobile engagement tool that leverages computer vision to track and analyze player movement in real time.
Users are now able to point their mobile camera at the court and tap any player to view a wealth of related information.
A self-learning microscope image analysis tool designed to identify immunofluorescence labeled cells for more efficient diagnostics of tumors. Pre-trained neural network solution able to recognize different types of blood cells by analyzing imagery acquired from microscopes.
Explore how human-like machine learning Content DNA framework helps media pinpoint and deliver replay-worthy soccer moments while the viewer interest is still peaked.
An innovative solution that helps dentists cut the time and effort spent on identifying the model of a broken implant before replacement. The solution uses computer vision to help dentists quickly and accurately determine the model of a patient’s dental implant from an X-ray.