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NVR and Camera Configuration Guide
AcuSense NVR and Camera Configuration Guide 071219NA 3
INTRODUCTION
Demand Analysis
In traditional CCTV systems, all the moving objects in the picture will trigger the perimeter alarm, which
may generate a lot of false alarms. Users have to waste a lot of time dealing with false alarms, and the
alarm is unreliable. In addition, when the target needs to be found in the video, it needs to be manually
searched by video playback, which is time consuming and laborious, and it is easy to lose key targets,
which is very inconvenient.
After solving the basic monitoring and video problems, users need to receive more accurate alarms
and to have a more convenient target search function to better use the monitoring system.
Solution
Some false alarms can be filtered by using a thermal camera, vibration optical fiber, radar, and other
equipment. The cost of the whole system is too high, and it cannot meet the requirement of finding
the target quickly afterwards.
With the development of artificial intelligence, target classification can be realized directly based on
the video screen, and false alarm reductions and target retrieval can be provided, which can provide
users with very cost-effective schemes.
System Architecture
Hikvision’s AcuSense Series of cameras and NVRs can prevent false alarms by identifying humans and
vehicles when defining line crossing detection and triggering an alarm when only the selected object
type (human and/or vehicle) is detected.
To set up False Alarm reductions and target classification without additional products, an AcuSense
NVR and/or AcuSense cameras are required.
Figure 1, System Architecture Diagram
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