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IoT-Enabled Vision System for Detection of Tint Level
captures the image of the vehicle for the purpose of proof and saves it in a controller
(or server). The controller is interfaced with a GPS device which provides the location
details of the place where the images were captured and appends the system date and
time. All these parameters are sent to the server system which stores all the received data.
The vehicle registration number is extracted from the captured image and is searched
in the available database, and the vehicle owner’s contact details are traced for sending
evidence to issue a ticket.
1.4.5 License Plate Detection
This is an important stage in vehicle license plate detection in the location of the license
plate. The license plate area contains a good amount of edge and texture information.
The license plate of the vehicle consists of several characters, and hence contains rich
edge information. At times, the background of the vehicle image also contains much
edge information. The interesting fact is that the background areas around the license
plate mainly include some horizontal edges whereas the edges in the background
mainly contain long curves and random noises. Also, the edges in the plate area cluster
together and produce intense texture feature. If only the vertical edges are extracted
from the vehicle image and most of the background edges are removed, then the plate
Start
Histogram
analysis
Contour
detection
Color
segmentation
Finding distance between
vehicle and camera
Finding height and width of
vehicle
Identifying class/type of vehicle
(hatchback or sedan class)
Finding exact windshield area
Techniques
FIGURE 1.8
Various window tint level detection techniques used in the proposed system.
IoT-Enabled Vision System for Detection of Tint Level
captures the image of the vehicle for the purpose of proof and saves it in a controller
(or server). The controller is interfaced with a GPS device which provides the location
details of the place where the images were captured and appends the system date and
time. All these parameters are sent to the server system which stores all the received data.
The vehicle registration number is extracted from the captured image and is searched
in the available database, and the vehicle owner’s contact details are traced for sending
evidence to issue a ticket.
1.4.5 License Plate Detection
This is an important stage in vehicle license plate detection in the location of the license
plate. The license plate area contains a good amount of edge and texture information.
The license plate of the vehicle consists of several characters, and hence contains rich
edge information. At times, the background of the vehicle image also contains much
edge information. The interesting fact is that the background areas around the license
plate mainly include some horizontal edges whereas the edges in the background
mainly contain long curves and random noises. Also, the edges in the plate area cluster
together and produce intense texture feature. If only the vertical edges are extracted
from the vehicle image and most of the background edges are removed, then the plate
Start
Histogram
analysis
Contour
detection
Color
segmentation
Finding distance between
vehicle and camera
Finding height and width of
vehicle
Identifying class/type of vehicle
(hatchback or sedan class)
Finding exact windshield area
Techniques
FIGURE 1.8
Various window tint level detection techniques used in the proposed system.