EEG Solar Race Car

This paper will focus on fabricating and testing a car prototype, solar powered car. The main constraint is that 100% of the power input must be solar, hence most of the cars body will be covered with flexible solar panels. This solar power will charge a rechargeable battery, which supplies a motor for movement. There are three modes of operation: 1. Manual by PS4 controller, 2. Muse monitor headset for electroencephalogram (EEG) brain signals and 3. Artificial Intelligence (AI) Control. A Convolutional Neural Network system will be established that will break down the electroencephalogram brain signals (EEG) into four categories stop, forward, left, and right. Run test will be performed to collect data and determine the accuracy of the data collected. The data will be sent to FFT (Fast Fourier Transform) algorithm where neural network will be trained using Tensorflow and Keras python API's.