Campus night-vision three-dimensional virtual monitoring system and method

Abstract

The invention provides a campus night-vision three-dimensional virtual monitoring system comprising an information acquisition module, an information processing module, a management module, a monitoring module and a storage module. The information acquisition module comprises a monitoring unit and a pickup. The information processing module comprises a mobile object detection module, a mobile object parameter extraction module, a mobile object positioning module, a warning information extraction module and a warning module. The management module comprises a three-dimensional modeling module, a three-dimensional model import module, an area safety level setting module, a monitor site arrangement module and a monitor site information setting module. The monitoring module comprises a warning display module, a live query module and a virtual object generation module. The traditional video-monitoring mode is broken through, the applicable field of audio-video monitoring is widened, the defects that night images are fuzzy and detailed information is lacked are effectively avoided by feeding back real-time information of virtual objects, effective warning and prejudging is achieved, and timely handling is performed to avoid accidents.

Description

technical field [0001] The invention belongs to the field of security monitoring, and in particular relates to a campus night vision three-dimensional virtual monitoring system and method. Background technique [0002] With the wide application of GIS technology, video surveillance system solutions that integrate spatial location information such as two-dimensional maps are gradually becoming a hot topic in the field of video surveillance. Compared with the traditional video surveillance system, the 3D video surveillance system integrated with spatial location information is more effective in preventing potential safety hazards. In recent years, colleges and universities are vigorously promoting the work of creating a "safe campus", but there is still a lack of an effective prevention system for campus emergencies, especially at night. Existing campus monitoring systems are mostly based on pure video monitoring technology, which has low resolution and limited application ra...

AI Technical Summary

Problems solved by technology

Existing campus monitoring systems are mostly based on pure video monitoring technology, which has low resolution and limited application range. Night monitoring is only detected by simple infrared probes, which has many disadvantages

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