How to setup an accurate perimeter guarding system with DeepinMind or Acusense NVR

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How to setup an accurate perimeter guarding system with DeepinMind or Acusense NVR

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1.   Operation

(1) False alarm filter

Go to NVR’s local GUI, System—Event—Smart Event, choose and enable the event you want to detect, then check target of interest. You can choose between 3 modes: Human, Vehicle or Human& Vehicle. Once you enable the option(s), it will based on the algorithm to filter most of the false alarm.

If you tick ‘Enable Smart Analysis’, NVR will detect event with NVR algorithm and no IP camera smart detection needed. Thus NVR is able to detect smart event even if IP camera doesn’t support. This mode has a higher accuracy and is recommended when there’s massive false alarms from IP cameras. Please notice NVR only support 1x Line crossing and 1x Intrusion Detection in this mode at present. In addition, IP camera’s video stream should be standard H264 or H265, resolution should be lower than or equal to 8MP. In addition, the resolution of camera must be between 2MP to 8MP.

After alarm is filtered, NVR normal playback and file management can only search right alarms, if you want to search false alarms, please go to ‘File Management—Event Type—False Alarm’.

2.   Scene and Rule

In order to make the whole system more accurate, there’re some mounting and rule requirements for IP cameras.

In this chapter, we take several typical scenarios as examples to help you setup a better perimeter system.

  • IP camera installation

Camera is recommended to be installed 2-3 meters high. If it is installed outside, it should be 3-8m high.

The monitoring distance is recommended to be within 50 meters, estimated longest distance for different focal length: 6mm, 30M; 8mm, 40M; 12mm, 50M. This is just a reference, it varies in different scenarios.

Angle between the optic axis and the horizontal line should be larger than 15°.

  • Target size

DeepinMind NVR can analyze target whose height is between 1/16 and 1/2 of the image vertical size. For instance, IP camera resolution is 1080P, target vertical size should be larger than 64 pixels and smaller than 540 pixels.

For example, the target in picture below is too large to detect, the man almost covers the whole scene. We suggest adjusting the angle higher so that IP camera can start detecing from a longer distance.

  • Illumination

It’s easy to deduce that once the scene is too dark, IP camera or NVR can’t detect target exactly. Lighting supplement or low light cameras is recommended in scene below.

  • Obstacle

If there’re obstacles in front of the camera, there will be c false alarms which occupy NVR smart resources. In addition, large obstacle might block target you are really interested in. Scene in picture below is not an appropriate one for detecting.

  • Strong light

In some scenarios, strong light interference makes a target hard to be detected. Strong light generally can be divided into two kinds: strong background light and strong foreground light.

Strong background light makes foreground target totally dark, as what is shown picture below, the man in corridor looks like a shadow. WDR or BLC function is recommended in this scene.

Strong foreground light is usually generated by sudden light intensity change such as car light, flash light, sunshine reflection. We suggest customer change IP camera’s angle to avoid strong light or use cameras with HLC function.

  • Complex scene

We suggest customer use perimeter guarding alarm to detect human who is not supposed to enter a region or cross a line, so it’s not applicable in a scenario such as train station with large people flow.

The scene below has too many people and create a vast number of alarms, it’s not a recommended scene for detection.

  • Detection rule

In addition to installation guide, appropriate rule is also a critical part in perimeter guarding system.

Here’s an example, customer wants to detect man who walk across the door on the left side. However, the rule is too near to the edge. Once a man appears in the scene, there’s no enough time for NVR or IP camera to detect. We highly recommended customer set detection rule in the center of the scene, or not near the scene’s edge.

  • Rule position

Although DeepinMind NVR is able to filter false alarms created by leaves, animals etc, it is highly recommended to set rule in a static field/ object. One customer set line crossing rule on grass in scene below, grass continuously makes false alarms which occupy NVR smart resource and storage space.

  • IP camera selection

If customer wants to use smart detection in an indoor environment, IP camera with WDR and wide FOV is recommended.

In some outdoor scenarios, bullet camera are a better choice than dome camera. Some raindrops might be stuck to the surface of dome camera, with raindrops accumulated, it decreases accuracy of smart detection.

Here’re several modes we recommend for outdoor/indoor use, customer can also select by themselves according to actual scenario.

IP camera indoor outdoor
2 series DS-2CD21x5 series DS-2CD23x5 series DS-2CD2Tx5 series DS-2CD26x5 series
4 series DS-2CD4Cx6 series DS-2CD4Dx6 series DS-2CD4Bx6 series DS-2CD4Dx6 series