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M Haris Mujeeb
Home
Fabrication and Design of Syrup Mixing and Bottling Plant
Two‐Wheeled Self‐Balancing Robot using both Accelerometer and Gyroscope
Detection and Tracking of an Intruder using a Single Camera
PID control LED Brightness Regulation using LabVIEW
Smart Phone Controlled Arduino Car
Design Analysis of Bugatti Centodieci
Floating Moored Platform Position Control System
Fabrication and Design of Shaker Table
PCB Projects
3D Modelling Projects
About Me
More
M Haris Mujeeb
Home
Fabrication and Design of Syrup Mixing and Bottling Plant
Two‐Wheeled Self‐Balancing Robot using both Accelerometer and Gyroscope
Detection and Tracking of an Intruder using a Single Camera
PID control LED Brightness Regulation using LabVIEW
Smart Phone Controlled Arduino Car
Design Analysis of Bugatti Centodieci
Floating Moored Platform Position Control System
Fabrication and Design of Shaker Table
PCB Projects
3D Modelling Projects
About Me
More
More
Home
Fabrication and Design of Syrup Mixing and Bottling Plant
Two‐Wheeled Self‐Balancing Robot using both Accelerometer and Gyroscope
Detection and Tracking of an Intruder using a Single Camera
PID control LED Brightness Regulation using LabVIEW
Smart Phone Controlled Arduino Car
Design Analysis of Bugatti Centodieci
Floating Moored Platform Position Control System
Fabrication and Design of Shaker Table
PCB Projects
3D Modelling Projects
About Me
More
Detection and Tracking of an Intruder using a Single Camera
Objectives:
To provide surveillance 24/7 and aims to serve as a security device.
Detect the presence of an intruder
Track the motion of an intruder
Aim a laser beam onto the intruder.
Methodology:
A
3D model
of the system was designed using
SOLIDWORKS
.
The prototyping and
initial testing
of the open-world system were done using
MATLAB
and
Simulink
.
The final testing was done by developing the algorithm in
PYTHON
and processing done by a
Raspberry Pi
.
The system works by taking an image which is then converted into a grayscale image.
Afterwards, necessary image processing is performed (absolute difference, binarizing process, etc.)
Then a rectangular bounding box is drawn around the detected object and coordinates are generated.
These coordinates then are updated to the servo motors which provide two degrees of motion and track
the motion of the object.
3D CAD Model
Object detection by the camera
Reference Image
Intruder enters
Absolute Difference Output
Morphological Output
Laser pointer is set on the intruder
Final Report - Intruder Detection.pdf
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