vanl214/Face-Recognition

View on GitHub by @vanl214

📷 Build a real-time face recognition system using Python and OpenCV to detect and identify multiple faces through webcams or CCTV cameras.

What's novel

📷 Build a real-time face recognition system using Python and OpenCV to detect and identify multiple faces through webcams or CCTV cameras.

Code Analysis

8 files read · 2 rounds

A desktop Tkinter application that uses OpenCV and the face_recognition library to detect and identify faces from a webcam in real-time, with a simple file-based face database and SQLite logging of recognized individuals.

Strengths

Functional end-to-end workflow with reasonable separation of concerns across files, and practical features like multi-camera switching, FPS display, and frame-skipping optimization for performance.

Weaknesses

Contains several real bugs (double color-space conversion in load_faces.py, unused anyio import, premature success messages in take_pic_gui), has zero tests, and the README oversells the project as an installable product when it's a flat collection of Python scripts requiring manual dependency installation.

Score Breakdown

Innovation

3 (25%)

Craft

28 (35%)

Traction

11 (15%)

Scope

38 (25%)

Signal breakdown

Innovation

Not Fork+1

Code Novelty+0

Concept Novelty+0

Craft

Ci-2

Tests-3

Polish+0

Releases+0

Has License+0

Code Quality+12

Readme Quality+15

Recent Activity+7

Structure Quality+4

Commit Consistency+2

Has Dependency Mgmt+0

Traction

Forks+6

Stars+6

Hn Points+0

Watchers+0

Early Traction+0

Devto Reactions+0

Community Contribs+2

Scope

Commits+7

Languages+3

Subsystems+5

Bloat Penalty+0

Completeness+5

Contributors+6

Authored Files+8

Readme Code Match+3

Architecture Depth+3

Implementation Depth+8

Evidence

Commits

Contributors

Files

Active weeks

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

Forks

License

—