Computer Vision 2025

graphic of a city street with computer vision analysis overlay on top. Labels vehicles, pedestrians, and sidewalks.

C2SMART’s innovative computer vision solutions leverage deep learning tailored to urban environments, enabling real-time object detection and tracking to improve mobility and safety for vehicles and vulnerable road users. By

NYU Transportation Design Challenge

We’re very excited to partner with NYU Rudin Center for Transportation Policy and Management and NYC Mayor’s Office of Climate & Environmental Justice for the first-ever NYU Transportation Design Challenge. 

C2SMART Speed Camera Study in the News

Speed camera over a busy highway

The Baltimore Sun, Bloomberg Cite C2SMART Speed Camera Study Prof. Kaan Ozbay was featured in a recent Baltimore Sun article discussing the mixed implications of the city’s speed cameras, which

NYU MS Program Deep Dive: Prof. Chow

graphic from a digital model

Deep Dive: NYU MS in Transportation Systems Learn more about Department of Civil & Urban Engineering at NYU Tandon‘s Prof. Joseph Chow and the MS Transportation Systems course he teaches. Prof. Chow, who

NYU MS Program Deep Dive: Prof. Vinitskty

screenshot of Prof. Vinitsky's model.

Deep Dive: NYU MS in Transportation Systems Learn more about Department of Civil & Urban Engineering at NYU Tandon‘s Prof. Eugene Vinitsky and the MS Transportation Systems course he teaches.

C2SMARTER Alumni: Where are they now?

graphic of an underground subway train moving very quickly

ARISE provides an advanced STEM (Science, Technology, Engineering and Math) research opportunity to New York City students lacking access to high quality STEM education experiences.

NYU MS Program Deep Dive: Prof. Vignon

photo of people and cars crossing Flatiron Plaza, 23rd Street and 5th Avenue, in Midtown, Manhattan

Deep Dive: NYU MS in Transportation Systems Learn more about Department of Civil & Urban Engineering at NYU Tandon‘s Prof. Daniel Vignon and the MS Transportation Systems course he teaches.