Abstract
Recently, interest in the use of drones has increased, and drones are being actively introduced in various fields. We are trying to develop and use drones in various fields such as national defense, logistics, life safety, facility safety management, forest protection and monitoring, but there are still restrictions on the use of drones. The biggest limitation is the use of drones on land such as mountains and rivers. For example, if the police are searching for a missing person in an area with mountains, bushes, and a large river, multiple police personnel must visually check the drone footage on site every day. And then there's the problem of finding a missing person or lost article of a missing person and having to re-search where it was found. Therefore, the visualization technology proposed in this paper is a technology that visualizes real-time spatial mapping of drone images taken in real time onto a web-based 2D map. In cooperation with the missing person search AI inference function, the AI analysis result video is mapped on a web-based 2D map in real time. AI analysis results are visualized in real time on a web map using spatial information among the meta information in the video.
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