system design

Vehicle identification and verification play a critical role in ensuring the security of controlled environments such as university campuses. At the University of Benin’s Ugbowo Campus, the existing manual vehicle verification process suffers from several limitations, including delays, human error, poor record keeping, and the absence of real-time validation. This study addresses these challenges by designing and implementing an Automated Car Plate Number Recognition (ANPR) system capable of detecting, recognizing, and verifying vehicle license plates using computer vision and optical character recognition (OCR) techniques. The system was developed using the Flask web framework, OpenCV for image preprocessing and license plate localization, and the Tesseract OCR engine for extracting alphanumeric characters. A MySQL database was integrated for storing records of registered vehicles and maintaining logs of recognition events. The system allows security personnel to upload vehicle images through a web interface, after which the application automatically processes the image, recognizes the plate number, checks its validity against the stored records, and provides immediate feedback. Testing of the system using images captured under different conditions such as clear daytime lighting, low light, skewed angles, and motion blur revealed that the system performs accurately under favourable conditions and provides partial or usable information even under challenging scenarios. Although recognition performance decreases with poor image quality, the system still offers considerable improvements over manual verification by reducing reliance on human judgment and enhancing the accuracy, speed, and reliability of vehicle monitoring.

The production engineering department of the University of Benin has often relied on existing water supply from the faculty sunk borehole. This water has been investigated through physiochemical and biological testing to be below standard required quality for drinking. This has necessitated the development and installation of a water treatment for purification and dispensing facility in the departmental Annex of production engineering for safe sustainable water utilization. A conceptual design of the water treatment and dispensing facility was carried out and it comprises of cylindrical tanks stacked with one of the tank containing coarse aggregates of gravel, rock sand, fine aggregate of river sand, and activated carbon (charcoal) all separated with a filter mesh in the cylindrical tank. The other tank contains the clear water already treated by sedimentation tank containing the aggregated materials Tests and performance evaluation of the developed water treatment facility showed that that the volumes of samples of water taken from the water treatment and dispensing facility had minimal variation from one another. The samples had most volumes around the 50cl mark, while others were around 49cl sometimes successive difference of 0.1cl. The little variation in the volumes is due partly to excess drop in pressure of the reservoir water. The variance is 0.24 which is a mean of the respective deviations of the volumes. This value of the variance is very minimal, showing that the machine was able to discharge given volumes of water with considerable accuracy. The observed range of BODs for the treated water was (3.20mg/L to 3.88mg/L). Electrical conductivity values ranged from 18.00 to 65.00S/cm. It was inferred that there was no significant change in the pH value during the observation period; the observed values were in the range 6.9 to 7.5 for both samples of water before and after treatment. The physio-chemical characteristics of water samples in the study area suggested that there was no harmful
chemical contamination in both samples of water.