Enhancing Facemask Detection using Deep learning Models

Face detection and mask are critical tasks in the context of public safety compliance with mask-wearing protocols. Hence, it is important to track down whoever violated rules regulations. Therefore, this paper aims implement four deep learning models for face detection: MobileNet, ResNet50, Inceptionv3, VGG19. The evaluated based on precision recall metrics both tasks. results indicate that proposed model ResNet50 achieves superior performance detection, demonstrating high (99.4%) (98.6%) values. Additionally, shows commendable accuracy detection. MobileNet Inceptionv3 provide satisfactory results, while VGG19 excels but slightly lower findings contribute development effective systems, implications safety.