Automated system for performing forest inventory surveys through aerial surveying, has machine learning algorithms to identify and notify authorities of occurrence of forest fires in real-time using drone-acquired images
	ANIS M F; GHOSH A K; GHOSH S; RATERIA R; SARKAR S; ROY N; GUPTA K
	2023-10-04
专利权人	INST ENG & MANAGEMENT (ENGM-Non-standard)
申请日期	2023-10-04
专利号	IN202331066476-A
成果简介	NOVELTY - The system is configured for capturing photographs of vast forest areas, which is analyzed to identify changes in the environment, including tree loss or growth wherein the machine learning algorithms find, count, and categorize species based on their level of conservation for gathering information for conservation efforts and safeguarding endangered species. The camera is attached in the drone captures the image and sends the data to the server through the micro-processing unit. The machine learning algorithms identify and notify authorities of the occurrence of forest fires in real-time using drone-acquired images which as a result reduces the damage by shortening the response time. USE - Automated system for performing forest inventory surveys through aerial surveying. Uses include but are not limited to animal monitoring, poaching activities, forest deforestation and forest fires. ADVANTAGE - The server generates alerts in real-time, enabling authorities to take necessary actions promptly. The system unique feature is its ability to automate forest monitoring making it easier and cost-effective to detect and prevent forest-related crimes. The system provides an efficient way to monitor and protect the forest biodiversity, allowing authorities to take proactive steps to prevent environmental damage. The system automation reduces the need for manual intervention, making it more reliable and consistent. The potential applications include monitoring wildlife populations, detecting forest fires, and preventing deforestation. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of an automated system for performing forest inventory surveys.
IPC 分类号	A62C-003/02 ; G06N-020/00 ; G06V-020/10 ; G06V-020/52
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/20146
专题	中国科学院新疆生态与地理研究所
作者单位	INST ENG & MANAGEMENT (ENGM-Non-standard)
推荐引用方式 GB/T 7714	ANIS M F,GHOSH A K,GHOSH S,et al. Automated system for performing forest inventory surveys through aerial surveying, has machine learning algorithms to identify and notify authorities of occurrence of forest fires in real-time using drone-acquired images. IN202331066476-A[P]. 2023.

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