Non-contact Damage Diagnosis and Assessment System for Drones
As drone technology matures, drones have become essential in casualty search and rescue operations, enhancing efficiency through rapid aerial reconnaissance. We developed a Non-contact Damage Diagnosis and Assessment System that addresses reconnaissance needs in complex environments like high-altitude regions and urban warfare. This system uses deep learning models to capture video data for accurate casualty search and localization. Equipped with laser rangefinders and GPS, it determines the exact location of casualties while monitoring critical vital signs non-contact. This capability significantly enhances rescue efforts for both civilian emergencies and military operations.
Sky, Space And Communication Technologies
Drones and drone solutions
In October 2024
"Shanxi Province, Taiyuan City, Yinzhao District, Wulongkou Street, No. 9 Xinhe Road, East Building, Xinhe Technology Park, First Floor "
"Optimized YoLov5 Model for Object Recognition and Intelligent Perception: This model features high precision, high frame rate, and fast processing speed, making it highly effective for accurate and real-time object detection and recognition. Deep Learning-Based Non-Contact Vital Signs Sensing: Utilizes deep learning techniques to detect vital signs without physical contact. It offers strong applicability and a broad range of applications, making it suitable for various scenarios. Specialized Drone Platform with Front-End Intelligent Computing: Combines a dedicated drone platform with advanced edge computing technologies to enable mobile edge computing. It boasts rapid deployment, strong scalability, and high maneuverability, enhancing its operational flexibility."
Li Xiang, Wang Zhenyi, Li Zeyu. Non-contact Injury Assessment System and Method Based on Deep Learning Methods: 202410092063[P][2024-09-13]
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