Design and implementation of architecture, classifier and integrator for the Next Generation Urban Transportation U-Board

The Next Generation Urban Transportation U-Board is perfect for transportation on short distance commutes. The environmentally-friendly electric power engages a quiet belt driven motor. This is of particular concern in urban areas where the streets have become increasingly crowded with automobiles. The automobile population increase has caused congestion and substantial increases in air and noise pollution. U-Board is one of solution for this problem. Using electric motors which convert almost 75% of the chemical energy from the batteries to power the wheels, while internal combustion engines (ICEs) only convert 20% of the energy stored in gasoline. User interact using motion sensor and weight sensor for controlling this U-Board. Include Voice Command and Smart Assist for easy to use interaction. The target user for this U-Board will be teenagers in Indonesia, with weight limitation until 120kg. Maximum speed of U-Board is limited at 20km/h, for safety purpose. With battery capacity until 36Ah, U-Board usage time is about 2 hours or about 40 Km distance with assumption always using maximum speed. U-Board system architecture, calculate sensors data, user gesture, voice command and smart assist, which produce classifier for speed controller in the U-Board. The integrator consists of three main parts; voice analyzer, motor controller and sensor classifier. Weight sensor in front side can detect pressure in analogue mode from 2.75 volt until 3.05 volt. Gesture sensor can get distance and availability of the user. The sensor only can get bone position in front view mode only. Distance sensor can measure object from 5 cm until 3 meters, then to prevent collision, the threshold set in 2 meters from the front of U-Board.