In the recent times, the Coronaviruses that are a big family of different viruses have become very common, contagious and dangerous to the whole human kind. It spreads human to human by exhaling the infection breath, which leaves droplets of the virus on different surface which is then inhaled by other person and catches the infection too. So it has become very important to protect ourselves and the people around us from this situation. We can take precautions such as social distancing, washing hands every two hours, using sanitizer, maintaining social distance and the most important wearing a mask. Public use of wearing a masks has become very common everywhere in the whole world now. From that the most affected and devastating condition is of India due to its extreme population in small area. This paper proposes a method to detect the face mask is put on or not for offices, or any other work place with a lot of people coming to work. We have used convolutional neural network for the same. The model is trained on a real world dataset and tested with live video streaming with a good accuracy. Further the accuracy of the model with different hyper parameters and multiple people at different distance and location of the frame is done.
翻译:最近,科罗纳病毒是一个不同病毒的大家庭,它已经变得非常普遍、传染和危险,它通过吸入感染气息,将病毒的滴子放在不同的表面,然后被他人吸入,然后感染了。因此,保护我们自己和周围的人不受这种情况的影响变得非常重要。我们可以采取预防措施,例如用消毒剂、保持社会距离和最重要的面具,每两个小时洗手一次。公众使用面罩已经在全世界变得非常普遍。从这个角度讲,受影响和破坏性最大的是印度,因为印度的人口分布在小地区。本文建议了一种方法来检测面罩是否被戴上,或者不是办公室,或者有很多人来上班的任何其他工作场所。我们用革命神经网络来做同样的工作。我们用一个真正的世界数据集来训练模型,并用活的视频流来进行精确的测试。更精确地用不同的超高参数和不同距离和不同地点的人来检测模型的精确度。