https://github.com/b-swt/facer
🟢Side Project - A Python program using OpenCV and Face Recognition replicates the concept of city cameras scanning faces.
https://github.com/b-swt/facer
cv2-library face-recognition python side-project
Last synced: 5 months ago
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🟢Side Project - A Python program using OpenCV and Face Recognition replicates the concept of city cameras scanning faces.
- Host: GitHub
- URL: https://github.com/b-swt/facer
- Owner: B-Swt
- Created: 2025-02-22T16:18:49.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-02-22T18:14:57.000Z (11 months ago)
- Last Synced: 2025-02-26T20:22:52.027Z (11 months ago)
- Topics: cv2-library, face-recognition, python, side-project
- Language: Python
- Homepage: https://www.linkedin.com/feed/update/urn:li:activity:7284845468717600770/
- Size: 446 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# FaceR - Facial Recognition System
Imagine a future where cities are equipped with intelligent cameras capable of scanning the faces of passersby to identify and locate them in real-time, similar to what we see in science fiction films. This once unrealistic vision is becoming a reality thanks to technological advancements. In tackling this challenge, I developed a Python-based program using OpenCV and Face Recognition, capable of replicating this fascinating technology.
### Features:
1. **Facial Recognition**: The primary goal of this program is to recognize faces by comparing them with a pre-existing database. In a real-world scenario, this could be used to track individuals or verify their identity instantly.
2. **Emotion Detection**: An additional feature of the project is emotion detection. The program analyzes facial expressions to determine the emotional state of the individual, such as happiness, sadness, or neutrality. In an urban context, this could provide valuable insights into collective well-being.
3. **Identification of Wanted Individuals**: By adding a database of wanted individuals (e.g., fugitives), the program can alert authorities whenever a match is found. This feature could be especially useful for law enforcement or for ensuring safety in public spaces.
### Technical Aspects:
- **Programming Language**: Python
- **Libraries**: OpenCV, Face Recognition
- **Database**: MongoDB
- **Data Format**: JSON
### Ethical Considerations:
While this is a personal project not intended for commercialization, imagine a world where this technology is integrated into urban cameras or smart glasses. However, it raises significant ethical and privacy concerns. While the technology could improve security, it may also lead to issues regarding mass surveillance and privacy invasion.