🔥 Project Summary
Customer: Polis Diraja Malaysia (PDRM) (Mock)
Project name: iCrime
Team Members:
- Muhammad Azri Bin Azmi
- Aiman Iskandar Bin Mohd Zaidi
- Ariff Rahimin Bin Mohamed Norazman
- Muhammad Haziq Izzuddin Bin Mohd Junaidy
😁 Objectives:
- Identify criminals by using face recognition.
- Reduce workload for police.
- Improve law enforcement.
💻 Project Management Life-Cycle
Figure 1: Gantt Chart
Figure 2: Work Breakdown Structure
💹 Risk Identification Chart (Quality, Cost, Time)
| Control Element | What is likely to go wrong? | How and when will I know? | What will I do about it? |
|---|---|---|---|
| Quality | Faces could not detect accurately. | Cameras detect wrong criminals faces. | Modify the algorithm like threshold to detect the faces. |
| Cost | Overexpensive equipments such as cameras. | Funds are spend to hardware only. | Find new suppliers to cover the costs. |
| Time | Time consuming to collect and train the data. | Training process took so long and sometimes have an error. | Train the data by using GPU instead of CPU or using cloud computing like Google Colab. |
📗 Responsibility Assignment Matrices (RAM) :
Figure 3: Responsibility Assignment Matrices
| Name | Roles |
|---|---|
| Muhammad Azri Bin Azmi | Project Manager |
| Aiman Iskandar Bin Mohd Zaidi | Design Technician |
| Ariff Rahimin Bin Mohamed Norazman | Lead Engineer |
| Muhammad Haziq Izzuddin Bin Mohd Junaidy | Senior Project Director |
📌 Project Planning Summary:
| Modules/Components | Budget (RM) | Schedule | Responsibility |
|---|---|---|---|
| Criminal Database | 500,000.00 | 30 December 2020 - 9 January 2021 | Collect Data, Label Data |
| Criminal Face Recognition | 1,200,000.00 | 17 January 2021 - 30 January 2021 | Train model, Test model |
| Map Tracking | 120,000.00 | 10 January 2021 - 16 January 2021 | Connect system with GPS |
📬 Deliverables:
- Planning Deliverables
- Analysis Deliverables
- Design Deliverables
- Implementation Deliverables
📂 Tasks and Estimated Costs
| Task | Estimated Costs(RM) | Notes |
|---|---|---|
| Acquisition | 5,272,630.00 | - |
| Design | 391,110.00 | System Design, Data Collection |
| Restoration | 1,328,972.00 | Camera Installation, System Installation, Maintenance |
📆 Milestone Chart
| Milestone | Scheduled Completion | Actual Completion |
|---|---|---|
| Planning | 28 November 2020 | 27 November 2020 |
| Analysis | 30 December 2020 | 21 December 2020 |
| Design | 29 January 2021 | 30 January 2021 |
| Implementation | 28 February 2021 | 26 February 2021 |
💡 Project Design and coding
Flow Diagram
Figure 4: Flow Diagram
😁 CODING:
Face Recognition
Command: pip install -r requirement.txt
- Use this command to install the required packages.
Figure 5: Bounding Box
For every face that are detected, a box will be placed based on the face locations. It will crop the face, and apply the model that we train, to recognize the face.
Figure 6: Filter algorithm
This algorithm filters raw images and select images that have face, and remove images that have no face or bad to detect face.
Figure 7: Training model
Images with each label(their folder), are being extracted and trained with MTCNN. PATH PLANNING
- After camera can recognize the criminal face, this algorithm will execute to search the shortest path from police station to criminal(camera)
- In this project, we use Breadth First Search algorithm for path searching
Figure 9: Main Coding For Path Searching
Figure 10: Map
The map is hard coding in python. This is the example of maze that have 9x9 dimension.
Figure 11: Path Planning Algorithm: Breadth First Search
It will find the shortest path between the starting point and any other reachable node.
Figure 12: Path Planning Result
The red color plus symbol shows the path to criminal and white hash symbol shows the building🌠 Project Result
- Our results contain of labeled face with its confidence level. Figure below shows our system results:
Figure 13: Aiman face result
Figure 14: Ariff face result
Figure 15: Azri face result
Figure 16: Haziq face result
📋 Closing Checklist
✔️ Sign Off
✔️ Lesson Learned
✔️ Final Project Report
✔️ Close Contract
🎥 Presentation Video
- Click here to watch our presentation! 😉
