System for detecting whether a face mask wears by individuals in workplace using convolutional neural network during recent prevalence of coronaviruses i.e. harmful virus to human, has pre-trained mobile network for openly putting and ensuring high functional application esteem
	BHAVANA D; ETHIRAJULU V; KUMAR V K; BABU R P; PAVAN R T; SINGH M K; POOVIDHA S
	2023-10-16
专利权人	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
申请日期	2023-10-16
专利号	IN202341069810-A
成果简介	NOVELTY - The system has a pre-trained mobile network for openly putting and ensuring high functional application esteem, where face is detected from an image according to research into face detection for requiring expression recognition, face tracking, and pose estimation of a solitary image. The pre-trained mobile network identifies the face from the picture and generates hyper parameters,, where the hyper parameters are learning rate, number of epochs, and batch size to fine-tune the model. The model is trained on a set of photos divided into two categories with and without mask. A proposed system trains the model with the taken dataset. A face mask identification system uses artificial intelligence to determine whether a person is wears a mask or not. USE - System for detecting whether a face mask wears by individuals in a workplace using a convolutional neural network during recent prevalence of coronaviruses i.e. harmful virus to humans. ADVANTAGE - The system ensures that individuals are following mask-wearing protocols and help prevent the spread of the virus. The system can be trained on a real-world dataset and tested using live video streaming, with accuracy further tested using hyper-parameters and individuals at various distances and locations in the image. The method can help workplaces ensure that individuals in a workplace are wearing a face mask using a convolutional neural network.
IPC 分类号	A41D-013/11 ; A62B-018/02 ; G06N-003/04 ; G06N-003/08 ; G16H-050/80
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/19946
专题	中国科学院新疆生态与地理研究所
作者单位	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
推荐引用方式 GB/T 7714	BHAVANA D,ETHIRAJULU V,KUMAR V K,et al. System for detecting whether a face mask wears by individuals in workplace using convolutional neural network during recent prevalence of coronaviruses i.e. harmful virus to human, has pre-trained mobile network for openly putting and ensuring high functional application esteem. IN202341069810-A[P]. 2023.

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