Traffic Violation Detection System Using Image Processing

Over the last three decades, global population of human beings has increased at an exponential rate, resulting in equal rise number vehicles owned and used globally. Vehicle traffic is a major economic component both urban rural areas, it requires proper management monitoring to ensure that this mass coexists as smoothly possible. The amount vehicular on roads around world, with Nigeria case study, results varying degrees rule violations, especially red light jumping. To arrest offenders resolve weaknesses failures operators who cannot be everywhere once, efficient violation plate recognition systems are needed. There several methods for reading characters, which can alphabets, numbers, or alphanumeric. minimize processing time computational load machine, research proposed k-Nearest Neighbour character recognition. system was developed evaluated. From result, localization license regions within image 92 percent accurate, 73 accurate.