BLIND SPOT DETECTION FOR AUTOMOBILES

ABSTRACT:

One of the most dangerous situations that a motorcyclist can find him/ herself in is in a lane that is about to be taken over by a Car, SUV, or Truck. Many riders spend a lot of time in a vehicle’s blind spot not realizing the dangers that they are in, (the area that is not covered by the mirrors on a car or truck). In order to see this area a driver must turn his/ her head to check what is in their blind spot. Unfortunately a lot of drivers out there don't bother to check their blind spots (they only use their mirrors) before making a turn or lane change. And as a motorcycle rider you don't want to be in that space when the driver of a much heavier vehicle wants to be there as well.

Diagram 2.1 above indicates where the blind spots are located on a car. This is the place where a rider should not spend a lot of time. The easiest way to tell if you are in a vehicle’s blind spot is to look into the car/ truck mirrors, if you cannot see the driver’s face... Guess what? You are in his or her blind spot. This means that you are invisible to the driver, unless they turn their head and check their blind spot before making a move.

HARDWARE REQUIREMENTS:

Ø LPC2129 Micro controller Board

Ø JTAG Interface

Ø NULL Modem Cable.

Ø Ultrasonic sensor

SOFTWARE REQUIREMENTS:

Ø Keil mvision 3

Ø Embedded C

Ø LPC2000 Flash Utility

WORKING PROCEDURE:

In this project we will connect two ultrasonic sensors at the back side of the vehicle and it will give continuously the distance between the vehicle and the nearby vehicle. By using this distance we will conclude the vehicle is there or not in the blind spot ad if we will give the indication to the driver in the LCD display in the cluster as well as the LED indication in the mirror.

Symbian based robot control using Bluetooth and MEMS

Abstract

In this application we discuss about the utilization of gesture recognition technique on a mobile phone. We also discuss about the possible applications using readily available hardware like mobile gaming or wheelchair control etc.

The proliferation of accelerometers on consumer electronics has brought an opportunity for interaction based on gestures or physical manipulation of the devices. This provides flexibility for the users to employ personalized gestures and make some physical manipulations.

Introduction

Mobile phones are the most pervasive wearable computers currently available and have the capabilities to alter and manipulate our perceptions. They contain various sensors, such as accelerometers and microphones, as well as actuators in the form of vibro-tactile feedback. Visual feedback may be provided through mobile screens or video eye wear. Dynamic input systems in the form of gesture recognition are proving popular with users, with Nintendo’s Wii being the most prominent example of this new form of interaction,

that allows users to become more engaged in video games

[1]. The video game experience is now affected not only by

timing and pressing buttons, but also by body movement.

To ensure a fast adoption rate of gesture recognition as an

ubiquitous input mechanism, technologies already available

in mobile phones should be utilized. Features like accelerometer sensing and vibro-tactile feedback are readily available in high-end mobile phones, and this should filter through to most mobile phones in the future.

Gesture recognition allows users to perceive their mobile phone as an input mechanism.

This application helps in controlling the wheel chair or the robot or a toy car with less physical efforts thus improving overall well being and quality of life.

Implementation

In the cases where a gesture recognition has been implemented on a resource-constrained device, only the simplest algorithms were considered and implemented to recognize only a small set of gestures; only three different gestures were recognized. We have developed an accelerometer-based gesture recognition technique that can be implemented on a mobile phone. The gesture recognition algorithm was optimized such that it only requires a small amount of the phone’s resources, in order to be used as a user interface to a larger piece of software, or a video game, that will require the majority of the system resources.