1 x Power supply (generic battery or mobile power bank ).1 x HC-05, bluetooth module, to comunicate between arduino and the windows phone.1 x LM35DT in order to determined the external Temperature.1 x ADX元45, Used to evaluate the G acceleration in 3 axis and compute the Lean Angle and the Wheelie Angle.1 x GPS-NEO7M, used to determined the GPS Position, speed, altitude.1 x Infrared Thermopile Contactless Temperature Sensor TMP006, used to determined the Tyre Temperature (can misure the External temperature also - Optional).2 x Ultrasonic ranging module HC-SR04, Used to determined the shock absorber extension (Front & Back).My hardware configuration is shown below. I Think IT'S PRETTY COOL!!! Let's start to describe the project The scope will be understand how to modify your driving style in function of the telemetry parameters in order to improve your driving performance. Phase 7 - All data saved on SQL azure database are processed by a Machine Learning in order to retrieve information about your 'driving style'.(All data are retrieved from sql azure database using Entity Framework) Phase 6 - The WebApp, uses an authentication process and show all telemetry information in charts.Phase 5 - On azure has been deployed a WebApp that use the SQL database data in order to show the telemetry data in real time (please read section Web App).Phase 4 - On azure there is a Stream Analytics Job that receives the data from the IoT HUB and saves the informations in a SQL Azure database.Phase 3 - The data are displayed in the Phone (for more details please read 'Software' section) and then sent by 3G/4G network to Azure IoT HUB.Phase 2 - Each time that the data are acquired, the data are sent by bluetooth from Arduino to Windows Phone.Phase 1 - All telemetries data are acquired from the control unit about twice at second (the control unit is positioned on the motorbike).

Motorcycle building software