ieee 2012 projects for m tech btech ece eee embedded systems@ srcembedded solutions- hyderabad. web:www.srcembedded.com, ph-8297 313 858 mail:srcembedded@gmail.com

1. AN EFFECTIVE PEDESTRIAN DETECTION METHOD FOR
DRIVER ASSISTANCE SYSTEM
Abstract:
Due to the rise in the car accidents, the driver assistance system (DAS) becomes an
important technology in the automobile industry. In the DAS, various sensors are mounted at
the front, side, and rear parts of the vehicle for sensing pedestrians or obstacles around the
vehicle. Among these sensors, the image processing technique is widely used in the DAS
because it provides visual information to the driver. Like vision-based surveillance systems,
many automobiles adopt the wide-angle cameras to capture objects and avoid the collision from
obstacles. However, this type of cameras produces the image with undesirable radial distortion.
Thus, the distorted image needs to be processed before detection and/or recognition.
Existing system:
In our existing system there is no such automatic method to detect pedestrian. So many
accidents occurred due to the non awareness of the driver. Due to the laziness of the driver some
vehicle to vehicle accidents occurred near the traffic area as well as highway roads. So many
methods are implemented in previously. These methods are not effective. To overcome these
problems we go for new system.
Proposed system:
In this project consists of two technologies are involved for avoiding accidents. Driver
Assistance Systems to help the driver in the driving process. When designed with a
safe Human-Machine Interface it should increase car safety and more generally road safety. In
critical driving situations, these systems warn and actively support the driver and, if necessary,
intervene automatically in an effort to avoid a collision or to mitigate the consequences of the
accident. In image processing technique using web cam the pedestrian image is captured and
processed. And the outputs will send to the driver. In embedded system part the ultrasonic

2. sensor is used for find the obstacles. If it detects means the alert will send to the driver. If the
command received means the vehicle will automatically stop. Based on these techniques we can
avoid the collisions near the roadways.
Block Diagram
Power Supply
PC
Recognition
Buzzer
Authentication
MAX 232
PIC
Microcontroller
Driver
circuit
Processing
Ultrasonic
sensor
Dc motor

3. Hardware Requirements:

PIC16f877a

Ultrasonic sensor

Max232

Driver circuit

Dc motor

Buzzer

Web cam
Software requirements:

MP lab compiler

Embedded c