The document presents a distance monitoring vision system for automobiles using image processing. The system is proposed to help reduce traffic problems like traffic jams and accidents by allowing drivers to monitor the distance to objects in front of and behind their vehicle. It would use a camera, engine control unit, and microchip to process images and provide alerts to drivers through LED lights and sounds if an object gets too close. The system is intended to help avoid collisions by detecting other vehicles and obstacles on the road. Charts are presented showing reductions in road accidents expected with the use of such a distance monitoring system.

1. Distance Monitoring Vision
System for Automobiles
Using Image Processing
Presented by
N.Vamsi Krishna
151FA05152

2. Introduction
Nowadays, transportation users have increased drastically since
2018 compared to 2001. The increase in some ways has
contributed many traffic problems such as traffic jam and
accidents. Therefore, some kind of system such as an enhanced
tool is needed to reduce such problems by designing a digital
distance monitoring system. The main orientation of this is
specifically focused on the accident. The development of the tool
could help the driver get a sense of how far the car is from an
object either it is in front or behind the car.
The faster You are the less the reaction time you have

3. Contents
• Introduction
• Distance Monitoring Vision System
• Need for Distance Monitoring Vision System
• Set-up Design
• Advantages of Distance Monitoring Vision System
• Conclusion
• References

4. What is Distance Monitoring Vision System ???
Distance monitoring Vision system is an embedded system used to
monitor continuously and accurately the position of a Vehicle with
the help of a camera

5. Need for Distance Monitoring Vision System ???
During road trips since the attention on the road is diverted to texting, eating or other
activities. A few seconds of distraction may change the lives of the drivers. That is why drivers
cannot fully rely on their vision and decision-making alone since they just humans; but an added
eye on the road would definitely help. The idea is to create a car vision system that would aid the
driver to avoid impending collision with other vehicles in front. It can solve the problem by
detecting vehicles in front These ideas when put together constitutes this study; to be able to
apply digital signal processing to make an intelligence system at will enable a car to monitor other
vehicles and make proper action or notification to the driver
The faster you are, the less the reaction time you can have when you are about to collide
with another vehicle

6. Set-Up Design
Engine Control
Unit
ELM327
Interface
OV7725
BlackfinAdsp
5 37
PIC16F877A
5V
Buzzer
RGB LED

7. ECU(Engine Control Unit):- Monitor the speed Of the device
ELM327 :- Communicates with the ECU to Monitor The speed of the car
OV7725 :- Image Acquisition Device
Blackfin ADSP 537:- It is Analog Device which send Universal Analog
Receiver and Transmitter signal To the Microchip(PIC16F877A) to Produce
Output
PIC16F877A (MicroChip):-
Green led Indicate Car is at a safe distance
Red Led indicates Driver Must be cautious enough in this situation
Red Led with Buzzer Indicates that a car is a Hazardous distance
Blackfin ADSP 537

8. Advantages of Distance Monitoring Vision System
• Accidents can be avoided
• Blind spot area can be covered in Vehicles
• Sensing Obstacles on the Road
• Can Have Stereo vision of Vehicles

9. Charts of Road Accidents With out and with Distance
Monitoring Vision System

10. CONCLUSIONS
• How many accidents occurred in the most recent year for which
statistics are available
• Cause For Drivers accidents
• Obstacles:- A deer running on road
• Stereo vision of Vehicles:-Stereo works by finding the same point in
two or more cameras. Intersecting the lines of view from the cameras
gives the 3D location of the object.

11. References
 http://ieeexplore.ieee.org/document/7393164/
 https://globaljournals.org/GJRE_Volume12/3- distance monitoring system on automobiles.pdf
 Jung, B., & Sukhatme, G. (2004). Detecting moving objects using a single camera on a mobile
robot in an outdoor environment. Conference on Intelligent Autonomous Systems, 8.
 Srinivasa, N. (2002). Vision-based vehicle detection and tracking method for forward collision
warning in automobiles. Intelligent Vehicle Symposium, 2002. IEEE, 2(17).

12. Any Queries ??

14. • How many accidents occurred in the most recent year for which statistics are
available
• Cause For Drivers accidents
• Obstacles:- A deer running on road
• Stereo vision of Vehicles:-Stereo works by finding the same point in two or
more cameras. Intersecting the lines of view from the cameras gives the 3D
location of the object.