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Addis Ababa University AAiT School of Electrical and Computer Engineering February 20, 201 Semester Project Automatic Density Based Traffic Light Control Using Image Processing
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software development

Dec 16, 2022

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Page 1: software development

Addis Ababa UniversityAAiT

School of Electrical and Computer Engineering

February 20, 2015

Semester Project

Automatic Density Based Traffic Light Control Using Image Processing

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Prepared By: Abebe Alemu Yohannes Fitsum

Getinet Ayenew Abenet Ashagre

February 20, 2015

Advisor: Andinet Negash

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Introduction Traffic Light System Using Image Processing?

Significance Traffic Congestion, Green Light for empty road

How it differs from existing system Traditional Systems With IR Sensors

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2. Objective

Select & Implement Proper Image Processing Techniques Design a traffic light system that accepts signal from the image processing output

Select a stepper motor that is used to rotate the camera

To integrate all the three systems

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Image Processing (MATLAB)

Camera mounted on

Stepper Motor(Proteus)

Traffic Light System

(LabVIEW)

Implementation

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Reference image Captured Image

RGB to gray conversion

 

RGB to gray conversion

 

Image Resizing Image Resizing  

Image enhancement  

Image enhancement  

Edge Detection Edge Detection 

Image Matching

Timing Allocation

Image Processing

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%match = No. of pixels matched successfully total no. of pixels

• If the matching is between 0 to 10% - green light is on for 90 seconds.• If the matching is between 10 to 50% - green light is on for 60 seconds.• If the matching is between 50 to 70% - green light is on for 30 seconds.• If the matching is between 70 to 90% - green light is on for 20 seconds.• If the matching is between 90 to 100% - green light is on for 10 seconds.

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Why Canny Edge Detection?less sensitive to noise, adaptive in nature, resolved the problem of streaking, provides good localization detects sharper edges

Why Edge Detection, Why Not Counting Number Of Cars? Accuracy

Estimation

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Traffic Light System

Survey at Kidist Mariam roundabout Implemented using LabVIEW

   For Vehicles

Road 1 Road 2 Road 3 Road 4Red Green Red RedGreen Red Red RedRed Red Red GreenRed Red Green Red

   For Pedestrians

Stop Stop Stop WalkStop Stop Walk StopWalk Walk Stop StopWalk Walk Stop Stop

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Stepper Motor Why Stepper Motor?

Accuracy Low power consumption Cheap compared to servo motors Have low inertia

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IntegrationImage

Processing (MATLAB)

Camera mounted on Stepper

Motor(Proteus)

Traffic Light System

(LabVIEW)

VSP Emulator VSP Emulator

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Result

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Conclusion

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To increase the efficiency of the image processing part

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To implement the integrated system using DSP

Future Wok

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Simulation