As the technology increasing, implementation of automobiles in this world has rapidly Increased ,as technology increases the required safety measures also necessary to be followed if it is about motorcycles,but many drivers do not use it and get accidents and cause critical injuries sometimes they even lead to death, so the motorcyclists they even lead to death,so the motorcyclist who are not wear helmet,so helmet detection and license plate recognition using CNN helps,However due to poor video quality license plate recognition become difficult task,but using convolution neural network (CNN) made it more suitable model to obtain fast operation .since image processing is involved it detects the motorcyclists wearing helmet or not,if the motorbike is detected as no helmet ,then the license plate of the motor cycle is detected using tesseract OCR ,this model is experimented as accurate modal and can capture more number of images with clarity to detect Helmet V/S no Helmet Criteria.