Artificial Intelligence Based Automation & Braking System for Cars Using Open Source BCI Technology

摘要

A new design of speed control, automation and braking system for cars incorporating open source Brain-Computer Interface technology is proposed in this paper. In traditional cruise control system, accidents may occur, if there exist any lack of concentration. To overcome this an automated system controlled by brain waves is proposed. In the open source BCI, Brain waves are obtained as voltage fluctuations and Ionic current through high sensitivity electrodes from which they are categorizes based on its frequency limit. The signal acquisition part conditions the extremely low frequency radio waves. By employing machine learning algorithm, signals are converted into codes- machine language and is transmitted. The received signals after error detection and filtration process is compared with the actual value determined by the Hall sensor fixed at the rear wheel of the car. The output of the comparator is fed to decision device which controls the mechanical system and performs the operation. Along with this automated system, additional guidance is provided to the user by means of Voice Guidance based Bluetooth module. The proposed mind reader section is in the form of a head set.