Face-Mask-Detection

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Face-Mask-Detection is an Open Source & Models tool that detects face masks in images and real-time video streams. It leverages computer vision and deep learning with OpenCV and TensorFlow/Keras.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is Face-Mask-Detection?

Face-Mask-Detection is an open-source system designed to identify individuals wearing face masks in both static images and live video feeds. Built using computer vision and deep learning techniques, it integrates popular libraries like OpenCV and TensorFlow/Keras. The system is computationally efficient due to its use of the MobileNetV2 architecture, making it suitable for deployment on embedded systems such as Raspberry Pi. This project aims to provide a real-time solution for public safety guidelines, particularly relevant in environments like airports, railway stations, offices, and schools. It boasts high accuracy, achieving 98% in mask detection, and does not rely on morphed masked image datasets.

Best used for

Ideal for developers and data scientists who need to implement robust face mask detection systems, analyze real-time video streams for compliance, and integrate computer vision solutions into embedded devices. Especially valuable for creating public safety applications in various environments like airports or offices.

Common actions

detect face masks

implement computer vision

build deep learning models

analyze video streams

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Capabilities

Key features

Real-time video detection
Static image detection
MobileNetV2 architecture
OpenCV integration
TensorFlow/Keras support
High accuracy

Target Audience

developerdata scientiststudent

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What deep learning framework does Face-Mask-Detection use?

The Face-Mask-Detection system is built using TensorFlow/Keras for its deep learning capabilities. It leverages the MobileNetV2 architecture, which contributes to its computational efficiency and suitability for real-time applications and embedded systems.

Can this system detect masks in real-time video?

Yes, Face-Mask-Detection is designed to detect face masks in real-time video streams. It also supports detection in static images, making it versatile for various applications requiring immediate visual analysis for mask compliance.

What kind of dataset was used to train the model?

The model was trained on a dataset consisting of 4095 real images, categorized into 'with_mask' and 'without_mask' classes. Importantly, it does not use any morphed masked images, ensuring the model's accuracy and reliability in real-world scenarios.

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