Syzaar+ is a next-generation workforce performance and productivity analytics platform designed for industrial and manufacturing environments. The platform converts raw visual data captured from IP camera infrastructure into structured, actionable business intelligence — enabling facility managers to optimize workforce activity, reduce operational inefficiencies, and uphold quality standards.
The user interface and experience layer are fully developed and production-ready. The AI-powered detection engine — built on computer vision and deep learning technologies — is currently under active development and will be progressively integrated into the platform.
▶ Feature |
Description | Status |
|---|---|---|
| Zone Management | Define, configure, and manage work zones via drag-and-drop. Isolate analysis to areas of operational significance. | ✅ Complete |
| AI Activity Recognition | Detect active versus idle workforce states and flag anomalies in real time using advanced computer vision algorithms. | ⏳ In Development |
| Multi-Camera Integration | Native support for up to 10 simultaneous IP camera streams with automatic device discovery and unified monitoring. | ✅ Complete |
| Per-Zone AI Models | Assign dedicated, fine-tuned AI models to individual zones for maximum detection accuracy across diverse tasks. | ⏳ In Development |
| Data & Reporting | Capture frame-by-frame performance data and export comprehensive reports in Excel and standard formats. | ✅ Complete |
| Modern UI/UX | A fully responsive, dynamic interface with live visual labeling and at-a-glance operational insights. | ✅ Complete |
| Layer | Technologies |
|---|---|
| Backend | Python 3.12 · Django 5.0 |
| Frontend | HTML5 · CSS3 · JavaScript |
| Database | SQLite 3 (Development) · PostgreSQL (Production) |
| Computer Vision | OpenCV 4.8 |
| AI / ML | TensorFlow / PyTorch (Planned) |
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▶ Zone Configuration Interface — drag-and-drop zone definition
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▶ Dashboard Overview — live operational insights and activity monitoring
Syzaar+/
│
├── Config/ # Project configuration
│ ├── settings.py
│ └── urls.py
│
├── Detection_App/ # Core application module
│ ├── admin.py
│ ├── forms.py
│ ├── models.py
│ ├── urls.py
│ └── views.py
│
├── static/ # Static assets
│ ├── css/
│ ├── js/
│ └── images/
│
├── templates/ # HTML templates
│ ├── base.html
│ ├── landing.html
│ ├── login.html
│ ├── overview.html
│ ├── camera_management.html
│ ├── zone_configuration.html
│ └── reports.html
│
├── db.sqlite3
└── manage.py
git clone https://github.com/Amin-Moniry/syzaar-plus.git
cd syzaar-plus
Windows
python -m venv venv
.\venv\Scripts\activatemacOS / Linux
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python manage.py makemigrations
python manage.py migrate
python manage.py createsuperuser
python manage.py runserverThe application will be available at http://127.0.0.1:8000/
- Navigate to
http://127.0.0.1:8000/and log in with your superuser credentials. - Access the admin panel at
http://127.0.0.1:8000/admin/for camera and zone configuration. - Use the dashboard to monitor operational zones, review activity data, and generate reports.
- AI-powered workforce activity recognition
- Dedicated AI model assignment per zone
- Enhanced real-time analytics engine
- Advanced reporting and export features
- Mobile application support
- Third-party system integrations
- Fork the repository via the Fork button on GitHub.
- Create a feature branch:
git checkout -b feature/your-feature-name - Commit with a descriptive message:
git commit -m "Add: brief description" - Push to your fork:
git push origin feature/your-feature-name - Open a Pull Request against the
masterbranch with a clear description of the changes.
This project is distributed under the MIT License.
See the LICENSE file for full details.
© 2026 Amin Moniry (AminTivanix2) — All Rights Reserved
