Rickety and poorly maintained vehicles on roads across the country remains a major nightmare for commuters.
Despite efforts by the Driver and Vehicle Licensing Authority (DVLA), the Motor Transport and Traffic Department (MTTD) of the Ghana Police Service and other stakeholders to curb the situation, the roads are still full of these vehicles, which cause fatalities.
Fortunately, some computer science students of the Kwame Nkrumah University of Science and Technology, Theophilus Botchway and Markin Papa Kofi Korbah are using Number Plate Recognition to determine the road worthiness or otherwise of your vehicle.
Automatic Number Plate Recognition (NPR) has become part of our lives and promises to stay in future.
The system uses advanced computer vision technologies and artificial intelligence algorithms to identify vehicle licenses.
The system achieves approximately 98.22% accuracy on number plate detection and 78% accuracy on number plate recognition.
The project utilizes image processing technology in order to extract and recognize license plate information from an image or video frames.
Based on the extracted texts from the license plate, they are able to fetch information from the database to determine whether your vehicle is roadworthy.
The system is also tested with different condition complexities, such as rainy background, darkness and dimness, and different hues and saturation of images.
How it works
The first step of NPR is image collection. Images may be extracted from a video, collections of images and cameras. Usually, in the research area, image collections are provided from an open dataset.
The second step is detecting the license plate in the images. This phase usually takes place in the object detection step. Edge detection is commonly used for plate detection. In addition to edge detection, many algorithms have been proposed to solve plate detection.
After the plate is detected, the segmentation phase is conducted to divide the region into locations for detecting digits and letters. The last step is recognition of each segmented region into digits and letters to read the license plate.
To learn more about the App and join the waitlist for its release, partners, stakeholders, or investors can visit https://csapps.knust.edu.gh.
Latest Stories
-
“The world has evolved” – Maya Blu on calls to stick to highlife
57 seconds -
CBOD accuses NPA of flouting President’s directive on petroleum vessel berthing
2 minutes -
FBI’s visit and Ghana’s compliance: A win for international anti-crime cooperation
4 minutes -
Volta regional minister strengthens institutional collaboration and supports media development
5 minutes -
Corruption costing Ghana over $1 billion annually — GLOMEF CEO calls for national uprising against graft
5 minutes -
Police rescue abused boy in viral video; arrest two for assault
8 minutes -
NDC Spain branch pledges full support for new Ambassador Kalsoume Baffoe
8 minutes -
Energy Minister inaugurates reconstituted VRA governing board
15 minutes -
Sky Train: Court adjourns case as Ameyaw-Akumfi’s lawyers seek Supreme Court intervention
18 minutes -
King Mswati III of Eswatini arrives in Ghana for a four-day tour visit
20 minutes -
2025 Obuasi Cricket Festival kicks off with strong school participation
21 minutes -
“Forever thankful”: JOY FM’s Doreen Andoh back on air after 2-month recovery journey
24 minutes -
Former NPP Communications Director endorses Adutwum, urges issue-based campaigning
33 minutes -
Kasoa: Schoolgirl found dead in a water body; boyfriend in police custody
44 minutes -
Prophetic propaganda on political discourse: The ‘churchpreneurship’ of profit over salvation in Ghana
49 minutes