Ambint comes from two words: ambient and intelligence. Ambint is a system innovation group spun off from Carnegie Mellon University, Pittsburgh, Pennsylvania. We are specialized in Symbiotic Perception technologies that fuse human vision with machine vision, including real-time video analytics, augmented reality, and innovative design for human-machine teaming. The broader applications include drones, smart helmets, museums, archeology fields, smart homes, smart cities, and medical diagnoses.
We won the NASA SBIR Phase I Award in 2007 for Interactive Visualization Toolkit for Satellite Data. In 2019, we won the First Place Award from the NIST PSCR Haptic Interface for Public Safety Challenge and the award of "The Most Commercially Promising Technology." The team was invited to exhibit the haptic helmet at CES 2020 in Las Vegas. In 2020, the team also won the NIST CAHRIoT AR Interfaces Challenge Phase I through III and has entered Phase IV on the finalist.
Our team includes multidisciplinary talents in Computer Science, Electrical Engineering, Robotics, Media Technology, Visual Arts, Music Composition, and Education.
Our clients include NASA Goddard Space Flight Center, NASA Langley Research Center, Air Force Research Lab in Rome, NY, and ONR. The team has also been volunteers at IEEE Pittsburgh and Val Camonica Rock Art Archeology Feild School in the Alps, Italy.
Our mission is to create the sixth sense that makes the invisible visible.
— Dr. Yang Cai, Director
Head-Up-Display (HUD) enables first responders to see-through smoke, navigate inside a building, communicate with the haptic interface, and detect objects. We won the NIST Haptic Interface Challenge in 2019, the First Place Award.
Augmented Reality City with live IoT data for mobile Traffic Management Center, Incident Response Post, and Emergency Management training. We won the NIST AR Interface Challenge, Phase I through III, and among the finalist at Phase IV.
4-D Data Explorer
The 4-D data explorer enables users to interact with massive dynamic network data and extract patterns.