FlyPhone careers
FlyPhone helps catch criminals. We use computer vision to automate the process of searching through surveillance footage so that detectives and security professionals can spend more time working on the case and less time staring at a computer monitor. An officer simply inputs video files and a physical description of the perpetrator and the software returns a file trimmed to only show frames in which a person matching that description is present.
Our software is standalone from existing video management systems making it applicable to police investigations, in which surveillance footage is sourced from the scene of the crime (whether it be a convenience store, local bank or city camera). Our software is trained to identify subjects by clothing or vehicle type, far more advanced that motion detection (the current standard) and less invasive than politically controversial facial recognition. Clothing and vehicle type are the most common eye witness descriptors.
Our software is standalone from existing video management systems making it applicable to police investigations, in which surveillance footage is sourced from the scene of the crime (whether it be a convenience store, local bank or city camera). Our software is trained to identify subjects by clothing or vehicle type, far more advanced that motion detection (the current standard) and less invasive than politically controversial facial recognition. Clothing and vehicle type are the most common eye witness descriptors.
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John Silvester
Colorado College Computer Science major:
2 IOS apps in the appstore (worked with both Swift and Obj-C.)
Experience with Java and Python
Ecstatic to learn!
Ben Tweedy
Founded FlyPhone: Crashed drones, learned doing so, pivoted, taking lessons and moving forward.
Colorado College: 2 time Futsal & Broomball IM Champion
Dan Keogh
Founded Bene (ended 2016); Analyst at Analysis Group; Brand Strategist at Monigle; B.A. in Math and Econ from Colorado College; Passion for Computer Vision.
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