Streaming Video Analysis in Python

October 13th, 2016 Editor’s note: This post is part of our Trainspotting series, a deep dive into the visual and audio detection components of our Caltrain project. You can find the introduction to the series here. At SVDS we have analyzed Caltrain delays in an effort to use real time, publicly available data to improve Caltrain arrival predictions. However, the station-arrival time data from Caltrain was not reliable enough to make accurate predictions. In order to increase the accuracy of our predictions, we needed to verify when, where, and in which direction trains were going. In this post, we discuss our Raspberry Pi streaming video analysis software, which we use to better predict Caltrain delays. Platform architecture for our Caltrain detector In a previous post, Chloe Mawer implemented a proof-of-concept…

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