| System for detecting objects in images, videos and webcam, has graphics processing unit (GPU) which is provided to make sure that object detection is sped up by GPU support on open-source computer vision (OpenCV), where GPU is used in OpenCV to build OpenCV from scratch on local machine | |
| 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 | IN202341069527-A |
| 成果简介 | NOVELTY - The system has an NVidia RTX 2080 graphics processing unit (GPU) which is provided to make sure that the object detection is sped up by GPU support on open-source computer vision (OpenCV). The OpenCV is installed for Python(RTM: Computer programming language). The commands in Python(RTM: Computer programming language) interpreter are checked. The GPU is used in OpenCV to build OpenCV from scratch on local machine. The Windows 10 machine is followed by the coding bug channel to build openCV from source before finding the video. The high detection precision, low misdetection rate, real-time detection, simple network structure, and rotation bounding box are used. USE - System for detecting objects in images, videos and webcam, used in pedestrian detection driverless car, video surveillance robotics and counting techniques. ADVANTAGE - The method is enabled to allow user to distinguish between different related computer vision tasks such as image classification, object localization and object detection in efficient manner. The high detection precision and low misdetection rate are achieved. Simple network structure is provided. The objects are located with rotation bounding box using rotation anchors. |
| IPC 分类号 | G06K-009/00 ; G06K-009/62 ; G06N-003/04 ; G06N-003/08 ; H04N-007/18 |
| 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/19902 |
| 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,RAMESH S B V M,VENKATESHWARLU K,et al. System for detecting objects in images, videos and webcam, has graphics processing unit (GPU) which is provided to make sure that object detection is sped up by GPU support on open-source computer vision (OpenCV), where GPU is used in OpenCV to build OpenCV from scratch on local machine. IN202341069527-A[P]. 2023. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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