About ovx
ovx, led by Nathan Frey and Dr. Christopher Stauffer, provides leading capabilities in computer vision, machine learning, and big data to impact how we live our lives. At ovx, we seek an honest brokering of ideas and solutions simultaneously in academic, government, and industry sectors.
With over a decade of experience in building real-time computer vision and pattern recognition systems, including building one of the first and longest running intelligent visual surveillance system at MIT, ovx is uniquely positioned to provide robust solutions through technology foresight. In addition, ovx maintains links to leading researchers at major universities and institutions.
Solutions and Awards
ovx leads through technology foresight to make an impact in how we live our lives. ovx provides leading capabilities in computer vision, machine learning, and big data with together with industrial, commercial, and governmental partners.
Our Capabilities
Calibration of camera and sensor networks
ovx provides solutions to self-calibrate networks of multiple cameras and sensors in physically distant locations to optimize object tracking over travel distances. Applications include traffic analysis and intelligent video surveillance among others.
Object classification, detection and real-time tracking
Utilizing state of the art multi-target, multi-camera networks, ovx provides intelligent computer vision algorithms to classify, detect, and track multiple objects for academic, commercial, and military applications. Techniques extend well-beyond shape detection and include emerging research on hierarchical classification, appearance decomposition, and temporal analysis.
Automated behavior analysis
ovx develops advanced activity understanding algorithms by combining real-time machine vision techniques with machine learning, big data processing, and data mining. This includes learning patterns of the activities over long periods of time to detect normal, as well as anomalous, events. Applications include long term analysis and personal data understanding.
Audio-visual analysis
Visual stimulus alone is often not sufficient for reliably discriminating between many types of activity. In many cases where the visual information required for a particular task is extremely subtle or non-existent, there is often audio stimulus that is extremely salient for a particular classification or anomaly detection task. However, unlike visual events, independent sounds are often very ambiguous and not sufficient to define useful events themselves.
ovx has developed machine learning methods to casually-linked temporal sequences of sound events that are coupled to the visual events, determine statistical anomalies, and automatically cluster these detected events into meaningful clusters.
Our Team
Nathan Frey
Mr. Frey has 20 years of experience developing AI technology for video editing and creative applications, previously working for Google and YouTube.
CEO & Co-Founder
Christopher Stauffer
Dr. Christopher P. Stauffer has 30 years experience in computer vision and machine learning beginning with his PhD in AI from the MIT AI Laboratory (CSAIL).
CTO & Co-Founder
Administrative Director
Katie Brink
Katie holds a Master's degree in Arts and Sciences, specializing in business operations, HR management, and administrative oversight for startups.
Contact us
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