CORONA VIRUS FACE MASK DETECTOR

1. Functionality:

• Detects whether a person is wearing a face mask or not.
• Provides real-time alerts and notifications if a mask is not detected.

2. Technology:

• Utilizes advanced machine learning algorithms and computer vision techniques.
• Employs convolutional neural networks (CNN) for accurate face mask detection.

3. Hardware:

• Compatible with standard CCTV or IP cameras.
• Can be deployed on edge devices like Raspberry Pi, Jetson Nano, or other single-board computers for real-time processing.

4. Software:

• Developed using Python with libraries such as TensorFlow, Keras, OpenCV, and others.
• Provides an intuitive user interface for monitoring and managing detection results.

5. Accuracy:

• High detection accuracy with minimal false positives and negatives.
• Continuously trained on a diverse dataset to improve detection rates.

6. Performance:

• Real-time detection capabilities with low latency.
• Optimized for both indoor and outdoor environments.

7. Integration:

• Can be integrated with existing security and surveillance systems.
• Supports API integration for custom applications and automation workflows.