Speed Detection
Video
"Get off my lawn moment" setup a camera to capture how fast folks are speeding in my neighborhood. 25mph limit. pic.twitter.com/rtQZs6QFbG
— Scott Havird (@scotthavird) January 6, 2016
Motivation
I live in a neighborhood with a 25mph speed limit. I've noticed that many people drive much faster than the speed limit. I wanted to capture how fast people were driving in my neighborhood. I set up a camera to capture the speed of cars driving by. I used a Raspberry Pi to capture the video and a Python script to detect the speed of the cars.
Setup
I used a Hikivision CCTV to capture the video. I used my macbook to connect to the CCTV and view the video. I also used that macbook to run the Python script to detect the speed of the cars.
Logic
I used the following Python script to detect the speed of the cars. I used the OpenCV library to detect the cars. I used the following formula to calculate the speed of the cars:
I used the following formula to calculate the distance between the camera and the car:
distance = (width of car in pixels * focal length) / width of car in real world
I used the following formula to calculate the focal length:
focal length = (width of car in pixels * distance) / width of car in real world
I used the following formula to calculate the width of the car in real world:
width of car in real world = (width of car in pixels * distance) / focal length
I used the following formula to calculate the width of the car in pixels:
width of car in pixels = (width of car in real world * focal length) / distance
Output
video
images
Images of the same car, wanted to train data :)
