Design of Intelligent Electric Scooter with a Cloud Monitoring System

The purpose of this study is to design an intelligent scooter to replace walking, use Raspberry Pi 2 to set up Web Server web server, complete the 4G network connection through the wireless network card, and complete the intelligent electric scooter network to monitor the user's environmental information, health status and location. System features include: (a) Use the image sensor (Omni Vision sensor, OV sensor) to read the image information to complete the remote monitoring. (b) Adjust the general-purpose input / output (GPIO) pin control via the WebIOPi to complete the antenna lift, and adjust the monitor image to the best view. (c) A device wisdom watch is worn to monitor physiological information recorded in the cloud, and track users' health status. (d) Global Positioning System (GPS) satellite positioning is applied to obtain latitude and longitude, obtain the user's current location, and complete the track records. (e) Temperature and humidity, CO and CO2 environment information are recorded to the MySQL database and display them through web pages. Experiments show that the system is practical and correct, and suitable for patients or the elderly through the remote monitoring to ensure their safety so to assure the family.