System for facilitating real-time accident and fire detection using machine learning, has machine learning processing module for analyzing data and detecting incidents, and communication module for sending instant emergency alerts
2025-03-30
专利权人MISHRA P (MISH-Individual) ; CHANDRA A (CHAN-Individual) ; KUMAR A (KUMA-Individual) ; TYAGI T (TYAG-Individual) ; MAHESHWARI N (MAHE-Individual) ; MEERUT ENG & TECHNOLOGY INST (MEER-Non-standard)
申请日期2025-03-30
专利号IN202511031348-A
成果简介NOVELTY - The system has a video surveillance unit for capturing real-time footage. An internet-of-things-based sensor detects fire-related parameters and includes smoke, heat and motion detectors. A machine learning processing module analyzes data, detects incidents and utilizes convolutional neural networks for image-based accident detection. A communication module sends instant emergency alerts and integrates with emergency services, traffic management systems and user applications for real-time response coordination. An AI-driven severity assessment tool prioritizes emergency responses. USE - System for facilitating real-time accident and fire detection using machine learning process for enhanced emergency response system. ADVANTAGE - The system enables rapid detection and automated emergency response, significantly reduces reaction times and optimizes resource deployment in critical situations.
IPC 分类号G06Q-050/26 ; G06V-040/20 ; G08B-025/01 ; G11B-027/34 ; H04L-043/16
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/13315
专题中国科学院新疆生态与地理研究所
作者单位
1.MISHRA P (MISH-Individual)
2.CHANDRA A (CHAN-Individual)
3.KUMAR A (KUMA-Individual)
4.TYAGI T (TYAG-Individual)
5.MAHESHWARI N (MAHE-Individual)
6.MEERUT ENG & TECHNOLOGY INST (MEER-Non-standard)
推荐引用方式
GB/T 7714
MISHRA P,CHANDRA A,KUMAR A,et al. System for facilitating real-time accident and fire detection using machine learning, has machine learning processing module for analyzing data and detecting incidents, and communication module for sending instant emergency alerts. IN202511031348-A[P]. 2025.
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