Raspberry Pi Integrated CNN Method to Find the Skin Lesions from Photo Images

Nowadays skin cancer is a growing illness among the people all around the world and it is related to the skin organ. Especially, the symptoms of melanoma disease have to be diagnosed earlier and a successful treatment can reduce the number of patients. The traditional method of detection by the dermatologist will be ineffective and expensive. In the proposed work a convolutional neural network-based method is implemented to analyze the accuracy and robustness of the system. Furthermore, the optimized model deployed on Raspberry Pi based hardware prototype using open CV and camera in python. As the result the performance of the machine learning method is improved to detect the skin lesion with low resources and affordable cost.