Half a year ago, when I lived in an apartment with a view of Ayalon Road in Tel Aviv, I decided I couldn’t just let the data pass indifferently beneath my window.

I used my smartphone camera to record 81 short videos of the traffic; built a dedicated CNN to detect the vehicles (after the small, crowded cars in the videos were failed to be detected by several out-of-the-box networks) and trained it on a few manually-tagged video-frames; modified SORT algorithm to allow tracking a vehicle even when it does not overlap itself over adjacent frames (required due to particularly low videos frame-rate); and derived several insights from the resulted data, mainly regarding lane-transitions and the relations between density, speed and flux.

I believe that this nicely demonstrates the amounts of data surrounding us, and their accessibility using as trivial tools as a smartphone.

Any comments, questions and insights are welcome 🙂

A small demonstration is attached in the form of an unpolished poster.

For more details please visit the repo’s readme:

https://github.com/ido90/AyalonRoad

https://preview.redd.it/zrboq3n36ay31.png?width=1539&format=png&auto=webp&s=5bb8d99159046b75eeeee3d50563232563bcebb4