IntrudeX an intrusion detection system using facial recognition
Final Year Project Intrusion detection system using Facial Recognition (Software Approach) The purpose of this project is to design an intrusion detection system which recognized the faces of the employees of an organization and if some unknown person appears in the vi
Project Title
IntrudeX an intrusion detection system using facial recognition
Project Area of Specialization
Project Summary
Final Year Project
Intrusion detection system using Facial Recognition (Software Approach)
The purpose of this project is to design an intrusion detection system which recognized the faces of the employees of an organization and if some unknown person appears in the video/camera/Image then it detects the unknown person and informs the concern authorities.
Project is divided into two phases.
In the first phase, students understand the process of face detection and face recognition and find out the relevant algorithms such as Eigenfaces, Local Binary Patterns Histograms (LBPH), Scale Invariant Feature Transform (SIFT) and Speed Up Robust Features (SURF), Support Vector Machine (SVM), Hidden Markov Models (HMM) etc.
In the second phase, after comparison and understanding of these algorithms, students will select one algorithm and implement it using available programming tools.
Deliverables:
- Report (Part A, Part B)
- Working Software / Simulator with source code
Student Names:
- 20162-19747 / Muhammad Habib Siddiqui
- 20162-19834 / Mohammad Ahmad
- 20151-18708 / Usama Yaseen
- 20162-19868 / Asim Muhammad Khawaja
Project Supervisor:
Engr. M. Asghar Khan
Project Objectives
Final Year Project
Intrusion detection system using Facial Recognition (Software Approach)
The purpose of this project is to design an intrusion detection system which recognized the faces of the employees of an organization and if some unknown person appears in the video/camera/Image then it detects the unknown person and informs the concern authorities.
Project is divided into two phases.
In the first phase, students understand the process of face detection and face recognition and find out the relevant algorithms such as Eigenfaces, Local Binary Patterns Histograms (LBPH), Scale Invariant Feature Transform (SIFT) and Speed Up Robust Features (SURF), Support Vector Machine (SVM), Hidden Markov Models (HMM) etc.
In the second phase, after comparison and understanding of these algorithms, students will select one algorithm and implement it using available programming tools.
Deliverables:
- Report (Part A, Part B)
- Working Software / Simulator with source code
Student Names:
- 20162-19747 / Muhammad Habib Siddiqui
- 20162-19834 / Mohammad Ahmad
- 20151-18708 / Usama Yaseen
- 20162-19868 / Asim Muhammad Khawaja
Project Supervisor:
Engr. M. Asghar Khan
Project Implementation Method
Final Year Project
Intrusion detection system using Facial Recognition (Software Approach)
The purpose of this project is to design an intrusion detection system which recognized the faces of the employees of an organization and if some unknown person appears in the video/camera/Image then it detects the unknown person and informs the concern authorities.
Project is divided into two phases.
In the first phase, students understand the process of face detection and face recognition and find out the relevant algorithms such as Eigenfaces, Local Binary Patterns Histograms (LBPH), Scale Invariant Feature Transform (SIFT) and Speed Up Robust Features (SURF), Support Vector Machine (SVM), Hidden Markov Models (HMM) etc.
In the second phase, after comparison and understanding of these algorithms, students will select one algorithm and implement it using available programming tools.
Deliverables:
- Report (Part A, Part B)
- Working Software / Simulator with source code
Student Names:
- 20162-19747 / Muhammad Habib Siddiqui
- 20162-19834 / Mohammad Ahmad
- 20151-18708 / Usama Yaseen
- 20162-19868 / Asim Muhammad Khawaja
Project Supervisor:
Engr. M. Asghar Khan
Benefits of the Project
Final Year Project
Intrusion detection system using Facial Recognition (Software Approach)
The purpose of this project is to design an intrusion detection system which recognized the faces of the employees of an organization and if some unknown person appears in the video/camera/Image then it detects the unknown person and informs the concern authorities.
Project is divided into two phases.
In the first phase, students understand the process of face detection and face recognition and find out the relevant algorithms such as Eigenfaces, Local Binary Patterns Histograms (LBPH), Scale Invariant Feature Transform (SIFT) and Speed Up Robust Features (SURF), Support Vector Machine (SVM), Hidden Markov Models (HMM) etc.
In the second phase, after comparison and understanding of these algorithms, students will select one algorithm and implement it using available programming tools.
Deliverables:
- Report (Part A, Part B)
- Working Software / Simulator with source code
Student Names:
- 20162-19747 / Muhammad Habib Siddiqui
- 20162-19834 / Mohammad Ahmad
- 20151-18708 / Usama Yaseen
- 20162-19868 / Asim Muhammad Khawaja
Project Supervisor:
Engr. M. Asghar Khan
Technical Details of Final Deliverable
Final Year Project
Intrusion detection system using Facial Recognition (Software Approach)
The purpose of this project is to design an intrusion detection system which recognized the faces of the employees of an organization and if some unknown person appears in the video/camera/Image then it detects the unknown person and informs the concern authorities.
Project is divided into two phases.
In the first phase, students understand the process of face detection and face recognition and find out the relevant algorithms such as Eigenfaces, Local Binary Patterns Histograms (LBPH), Scale Invariant Feature Transform (SIFT) and Speed Up Robust Features (SURF), Support Vector Machine (SVM), Hidden Markov Models (HMM) etc.
In the second phase, after comparison and understanding of these algorithms, students will select one algorithm and implement it using available programming tools.
Deliverables:
- Report (Part A, Part B)
- Working Software / Simulator with source code
Student Names:
- 20162-19747 / Muhammad Habib Siddiqui
- 20162-19834 / Mohammad Ahmad
- 20151-18708 / Usama Yaseen
- 20162-19868 / Asim Muhammad Khawaja
Project Supervisor:
Engr. M. Asghar Khan
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| no item | Equipment | 0 | 0 | 0 |
| Total in (Rs) | 0 |
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