| Face mask identification system using artificial intelligence to determine whether person is wearing mask or not has hyper-parameters e.g. learning rate, number of epochs, and batch size for fine-tuning model trained on photos divided into two categories with and without mask with considered dataset | |
| 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 | IN202341069909-A |
| 成果简介 | NOVELTY - The system has a pre-trained mobile net which is openly placed with high functional application esteem. A face is detected from an image with multiple attributes according to research into face detection requires expression recognition, face tracking, and pose estimation given a solitary image and is identified from the picture. The hyper-parameters e.g. learning rate, number of epochs, and batch size are used to fine-tune a model. The model is trained on multiple photos which are divided into two categories with and without mask with the considered dataset. USE - Face mask identification system using artificial intelligence (AI) to determine whether a person is wearing a mask or not. ADVANTAGE - The system ensures that individuals are following mask-wearing protocols to avoid the spread of virus, is trained on a real-world dataset and tested successfully using live video streaming and tests model accuracy using multiple hyper-parameters and persons at various distances. |
| 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/19823 |
| 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 | KALIYAMURTHIE K P,KUMAR V K,BABU R P,et al. Face mask identification system using artificial intelligence to determine whether person is wearing mask or not has hyper-parameters e.g. learning rate, number of epochs, and batch size for fine-tuning model trained on photos divided into two categories with and without mask with considered dataset. IN202341069909-A[P]. 2023. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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