School of Information Technology & Electrical Engineering
Intelligent Driving Monitor
Author: Nathan White Supervisor: Richard Cocks
Methodology Project Objectives
o Monitor driving parameters with o Uniquely satisfy a market need
multiple sensory devices. o Affordable for the target consumer groups
o Interpret the data meaningfully. o Safe and non-distracting for in-car use
o Apply fuzzy logic principles o Accurate in the detection of dangerous practices
to compare sensor trends with the o Tamper-Proof from mischievous users
identified definitions of o Customisable to particular consumer groups MMC Memory
dangerous driving.
o Identify situations such as:
o Speeding
o Steep Acceleration Gradients
o Excessive Cornering Forces
o Speed Limit Changes
o School Zones
o Traffic Lights & Speed Bumps
Demo Day
o Store data and alert the user
Acquisition Sensors Fuzzy Heuristic Algorithm Driver Alert
o Upload data to PC for storage
and analysis. Hardware PC Software
GPS Sensor Accel Sensor Vibration Sensor Visual Basic
Benefits
UART0 Digital Digital Graphical User Interface
GPS Module Accel Module Statistics
UART1 Serial
o Reduce accident rate and severity by Main Module Connection
Graphics
(Intelligent PC Module
increasing driver awareness. Algorithm)
ADO Data View
o Provide real-time, educational ISD Module Memory Module
feedback to assist in driver training.
2004
SPI SPI MySQL
o Facilitate corporate driver profiling
ISD4002 Digital MMC Flash Database ADO
by providing infringement storage. Voice Chip Memory Storage Storage & Analysis