This paper mainly introduces the application of augmented reality (AR) technology in video surveillance, its application in emergency rescue, its application in mobile location, and its application in peak station security.

1. Application in video surveillance
"Augmented Reality" is a brand-new concept in the field of video surveillance. The ordinary camera reflects "reality". This "reality" brings great confusion to the security personnel of the surveillance picture due to the lack of additional information. In order to solve these problems, it is necessary to carry out "enhancement" on the basis of "reality", and add information such as name, latitude and longitude, azimuth, distance, position, history case description, contact information, etc. to the real-time monitoring screen. The security personnel handle the abnormal and sudden situations captured by the video screen in a timely and effective manner.
The combination of AR and surveillance cameras is mainly reflected in the front-end camera and back-end monitoring centers.
(1) Front camera
The AR augmented reality camera combines the "reality" of real-time video with the "enhanced" information of the digital tag, so that the monitoring user can obtain the information of the target object at the first time when monitoring the real-time video picture.
(2) Back-end monitoring center
Putting the real surrounding environment and the things in the AR on the same screen, you can interact with the video through the big screen. For example, the electronic map of the city directly interacts with the deployed camera, access control, anti-theft or fire control, building control and other systems.
2. Application in emergency rescue
(1) Application in fire rescue
Although AR technology is still in its infancy, AR has already had initial application value in many special scenarios. The VIzIRAR fire rescue system is one of the typical cases. The VIzIRAR Fire Rescue System was developed by the Swedish startup Darix. The original VIzIR consists of augmented reality (AR) glasses combined with a thermal imaging camera that helps firefighters see things in dark, smokey environments, and thermal imaging cameras capture images. After being projected into the eyes of firefighters through AR glasses, firefighters are accurate and efficient in search and rescue.
(2) Application in traffic accident rescue
The new wave of electric vehicles has also brought new challenges to first-aid personnel. On-site emergency personnel can no longer easily judge how to cut the body to rescue accidents in an emergency situation. Because high-voltage cables are hidden inside the electric vehicle, Battery packs or other new transmission components, etc., can cause other disasters if you are not careful. After applying AR augmented reality technology, rescuers can know what is hidden under the metal plate and know if it is safe to cut it.
3. Application in moving point
The AR real-life command system can display the equipment in real-time command system through the GPS information returned by the handheld and vehicle-mounted devices, and update the location information in real time according to the GPS information, which plays an important role in the security of the duty and major activities. When personnel deployment arrangements or unexpected situations occur, the nearest police officer from the crime scene can be notified to the scene at the first time.
4. Application in peak station security
On the basis of real-time monitoring of “reality”, the AR system can display the monitoring information such as the monitoring azimuth, the visual field range, the entrance entrance, the duty position, the surrounding building name, and the security inspection channel in the monitoring screen in real time. It helps the monitoring personnel to quickly and intuitively understand the video information in the monitoring screen, and timely and effectively handle the unexpected events and abnormal situations captured in the video screen. Through the fast positioning function of the AR camera, it is also possible to patrol each key point of the monitoring area and the duty of each point through the video, thereby reducing the occurrence of guard absence and job leakage. Each security channel is equipped with a camera supported by the real-life command system. Through advanced computer image analysis, model theory, artificial intelligence and pattern recognition technology, it can complete the detection of feature portrait information from complex image scenes, combined with the back-end monitoring system. The photos of the terrorists are matched and identified, and the face capture, detection, recognition and automatic alarm functions of the inbound personnel are realized. The utility model has strong practicability and deterrence, and displays real-time alarm information in the real-life command system. .

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