scholarly journals A Forward Collision Warning System for Smartphones Using Image Processing and V2V Communication

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2672 ◽  
Author(s):  
Subhadeep Patra ◽  
Peter Veelaert ◽  
Carlos Calafate ◽  
Juan-Carlos Cano ◽  
Willian Zamora ◽  
...  
Keyword(s):  
Image Processing ◽  
Warning System ◽  
License Plate ◽  
License Plate Recognition ◽  
Vehicular Communication ◽  
Safe Distance ◽  
Collision Warning ◽  
V2v Communication ◽  
The One ◽  
Forward Collision Warning

In this paper, we present a forward collision warning application for smartphones that uses license plate recognition and vehicular communication to generate warnings for notifying the drivers of the vehicle behind and the one ahead, of a probable collision when the vehicle behind does not maintain an established safe distance between itself and the vehicle ahead. The application was tested in both static and mobile scenarios, from which we confirmed the working of our application, even though its performance is affected by the hardware limitations of the smartphones.

scholarly journals Deep Learning Based Ethiopian Car’s License Plate Detection and Recognition

2020 ◽  
Vol 8 (6) ◽  
pp. 5730-5737
Keyword(s):  
Image Processing ◽  
Deep Learning ◽  
Learning Model ◽  
Motor Vehicles ◽  
License Plate ◽  
License Plate Recognition ◽  
Computer Algorithms ◽  
Wide Range ◽  
Processing Techniques ◽  
Deep Learning Model

Digital Image Processing is application of computer algorithms to process, manipulate and interpret images. As a field it is playing an increasingly important role in many aspects of people’s daily life. Even though Image Processing has accomplished a great deal on its own, nowadays researches are being conducted in using it with Deep Learning (which is part of a broader family, Machine Learning) to achieve better performance in detecting and classifying objects in an image. Car’s License Plate Recognition is one of the hottest research topics in the domain of Image Processing (Computer Vision). It is having wide range of applications since license number is the primary and mandatory identifier of motor vehicles. When it comes to license plates in Ethiopia, they have unique features like Amharic characters, differing dimensions and plate formats. Although there is a research conducted on ELPR, it was attempted using the conventional image processing techniques but never with deep learning. In this proposed research an attempt is going to be made in tackling the problem of ELPR with deep learning and image processing. Tensorflow is going to be used in building the deep learning model and all the image processing is going to be done with OpenCV-Python. So, at the end of this research a deep learning model that recognizes Ethiopian license plates with better accuracy is going to be built.

Identification of Unauthorized Vehicles by License Plate Recognition Through Image Processing

2021 ◽  
Author(s):  
Redowan Chowdhury ◽  
Fazleh Rabby ◽  
M. Samiur Rahman ◽  
Md. Abdur Razzak
Keyword(s):  
Image Processing ◽  
License Plate ◽  
License Plate Recognition
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