Mask detection in computer vision refers to the process of detecting whether a person is wearing a mask or not using different machine learning algorithms for the purpose of security, authentication, and surveillance. With the outbreak of the COVID-19 pandemic, mask detection has become an important application of computer vision to reduce the risk of coronavirus spread. Here are some key points about mask detection in computer vision:
– **Object recognition**: Object recognition is a key area in the field of computer vision and pattern recognition, and it encompasses both image classification and object detection. The task of recognizing the mask over the face in the public area can be achieved by deploying an efficient object recognition algorithm through surveillance devices.
– **Deep learning**: Deep learning is a subfield of machine learning that uses artificial neural networks to model and solve complex problems. Many mask detection models use deep learning algorithms to achieve high accuracy in detecting masks.
– **Performance**: The performance of machine learning algorithms for face mask detection has been studied in various research papers. One study found that a face mask recognizer using image processing and computer vision approach can detect the face mask with 98% precision.
– **Real-time detection**: One method to make the detector is by first detecting the faces in real-time. After detecting the faces from the webcam stream, the detector can then classify whether the person is wearing a mask or not.
– **Applications**: Mask detection in computer vision has various applications, including in public spaces such as airports, hospitals, and schools, where it can help enforce mask-wearing policies and reduce the spread of COVID-19.
In conclusion, mask detection in computer vision is an important application of machine learning and deep learning algorithms that can help reduce the spread of COVID-19. With high accuracy and real-time detection capabilities, mask detection models can be deployed in various public spaces to enforce mask-wearing policies and promote public health.