DetectSpeedLicensePlate_Yolov8_Filters_PaddleOCR

This work is an extension of the project https://github.com/ablanco1950/LicensePlate_Yolov8_Filters_PaddleOCR adding the possibility to detect the speed

The requirements are exactly the same as those indicated in the aforementioned project.

Downloaded the project, execute the pythom program

VIDEODetectSpeedLicensePlate_Yolov8_Filters_PaddleOCR.py

The test program VIDEODetectSpeedLicensePlate_Yolov8_Filters_PaddleOCR.py is only prepared to work with the attached Traffic IP Camera video.mp4 test video, dowloaded from https://github.com/anmspro/Traffic-Signal-Violation-Detection-System/tree/master/Resources, since speed detection is performed over a region of the video, marked with a green rectangle, whose depth coincides with the length of a parking space that appears in the video and according to the following formula and parameters:

"""

       fps=25 #frames per second of video, see its properties

       fpsReal= fps/SpeedUpFrames # To speed up the process only one of SpeedUpFrames
                                  # is considered, SpeedUpFrames=5
       lengthRegion=4.5 #the depth of the considered region corresponds
                       # to the length of a parking space which is usually 4.5m

       Snapshots detected in the video region

       Speed (Km/hour)=lenthRegion * fpsReal * 3.6 / Snapshots

      Where 3.6 = (3600 sec./ 1 hour) * (1Km/ 1000m)
      
      This formula depends on the number of snapshots detected, which depends on the quality and speed of the plate detector, so in any case it has to be adjusted with practical tests in the field.

As a result, the console gets the following output:

AR606L Speed: 27.0Km/h snapshots: 3

AE670S Speed: 40.5Km/h snapshots: 2

APHI88 Speed: 81.0Km/h snapshots: 1

A3K96 Speed: 40.5Km/h snapshots: 2

A968B6 Speed: 40.5Km/h snapshots: 2

AV6190 Speed: 27.0Km/h snapshots: 3

In which it is verified that the speed is determined by the number of snapshots in the delimited region of interest. There is one error from false detections of plate A3K961 that is detected as A3k96

Adjustments would be necessary with real and verifiable cases.

A camera with more frames per second is needed, a computer with better features and better license plate detection.

You also get a logging file VIDEOLicenseResults.txt with the detected license plates

and a summary file: VIDEOLicenseSummary.txt with the following fields: