| System for detecting fires in live images captured by aerial vehicles, has cross-stage partial network provided with CSP darknet as backbone which addresses repeated gradient information and integrates gradient changes into feature map | |
| 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 | IN202341069639-A |
| 成果简介 | NOVELTY - The system has a cross-stage partial network provided with a CSP darknet as backbone which addresses repeated gradient information and integrates gradient changes into the feature map to reduce parameters and computational load. A PANet is used as the neck in Yolov5 to enhance information flow while Yolo acts as the head of the network and generates feature maps of different sizes for multi-scale prediction. An efficient net utilizes efficient net as backbone to enable the learning of complex features and employ a bi-directional pyramid network as its neck to facilitate easy information flow. USE - System for detecting fires in live images captured by aerial vehicles. Uses include but are not limited to BowFire, FD-dataset, Forestry Images, VisiFire (10,581 images, with2976fireimages and 7605 non-fire images). Yolov5 incorporates a cross-stage partial network withCSP darknet as its backbone. ADVANTAGE - The system trains deep neural networks with large amounts of data, and allows the network to automatically learn and improve from experience. |
| IPC 分类号 | A62C-003/02 ; B64C-039/02 ; G06K-009/62 ; G06N-003/04 ; G06N-003/08 |
| 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/19895 |
| 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 | ETHIRAJULU V,SAI M V N,GOPICHAND J,et al. System for detecting fires in live images captured by aerial vehicles, has cross-stage partial network provided with CSP darknet as backbone which addresses repeated gradient information and integrates gradient changes into feature map. IN202341069639-A[P]. 2023. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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