Car Speed Detection using OpenCV in Python | Car Detection | Techno Kidzo

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Published on ● Video Link: https://www.youtube.com/watch?v=9Fs27Rucxx0



Duration: 11:29
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Welcome To My Another Video And Today We Will Build The Car Speed Detection From The Previous Video


🕖 Timestamps:-

00:00 Intro
00:25 Setting Up Files
01:00 Create Speed Estimator Tool
06:40 Declaring And Calling Speed Estimator
07:53 Getting FPS For Time
09:22 Getting Our Speed
09:48 Showing Our Speed On Screen
10:36 Demo And Outro
11:08 End Screen


Links:-
Share This Video:- https://youtu.be/9Fs27Rucxx0
Vehicle Detection:- https://github.com/creativekids11/Vehicle-Detection-And-Counting-using-OpenCV
Source Code:- https://github.com/creativekids11/Car-Speed-Detection-Python
Dont Click On This Link: www.youtube.com/c/technokidzo?sub_confirmation=1
Openv:- https://pypi.org/project/opencv-python/
Numpy:- https://pypi.org/project/numpy/
OpenCV Contrib pypi - https://pypi.org/project/opencv-contrib-python/


Fixes:-
pip3 uninstall opencv-python
pip3 install -U opencv-contrib-python==3.4.2.16
'
Project Abstract:
This project is to predict the speed of a vehicle with respect to the data from a recorded video source. Traffic congestion is the main problem faced by big cities all over the world. One approach to reduce congestion levels is to improve traffic management that regulates and controls the number of vehicles. To evaluate the impact of traffic management before direct implementation on the highway, traffic modeling can be carried out. Parameters in modeling traffic must be determined from a calibration process where the vehicle is accurately measured for its position and speed. This study aims to propose an efficient calibration procedure with accurate results, based on recorded vehicle movement in perspective view. The proposed system serves to display the process of calibrating camera for traffic simulation to obtain information on the average speed of a vehicle. It is based on Python programming and its libraries, such as OpenCV. The output video is result analysis, which shows the information about the position track of vehicle and its average speed. In the experiment results, the accuracy of vehicle position detection is evaluated.

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