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DW MEGApix - Analytic Camera Installation Tips

Updated

DW MEGApix Analytic Camera Installation Tips

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Affected Roles: Administrator, Installer

Last Edit: October 24, 2025

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Installing the Camera

The DW MEGApix Ai and IVA/IVA+ camera series feature analytics features that can be combined with the Event alarms feature that is utilized by DW Spectrum Servers. For a camera’s analytic engine to perform at its best, it is important that the camera is installed while considering the camera’s environment.

This article will outline recommendations for positioning and maintaining cameras to maximize the effectiveness of the analytics engine.

 

Supported/Affected Devices:

  • DW MEGApix Ai Camera Series
  • DW MEGApix IVA/IVA+ Camera Series

 

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Camera Installation

A camera should be considered successfully installed once it has been firmly mounted, is confirmed to be properly connected and functioning, and the camera video is appropriately positioned and focused on the target area.

 

Camera Mounting

All cameras should be mounted securely to their mounting surfaces to prevent cameras from shaking or from moving unprompted. By securely mounting the camera, “camera movement” or “scene movement” can be avoided.

If a camera is not securely mounted, the camera’s analytic engine may cause the camera’s object tracking analytic to incorrectly read the camera’s shaking as objects that are moving in the scene. This can potentially target objects to be incorrectly tracked, which may cause false-positive triggers to occur.

 

Camera Height and Positioning

It is recommended that cameras are positioned with the intention that the “dead zone” of one camera can be covered by another camera’s field of view (FOV). To do so, each camera’s FOV should survey their target areas or target objects for no less than two (2) seconds (or 10 frames) while monitoring. This is why it is important to take the location of the camera’s physically mounted position into consideration during installation.

The minimum target size that a camera can detect and track is 0.02% of the camera’s FOV. At full HD resolution, this corresponds to an area of 17x30 pixels.

Every camera should be mounted at a height and angle so that all target objects occupy between 2% – 10% of the camera’s FOV.

 

**NOTE: When using the analytics engine of a camera, it is highly recommended to calibrate the camera’s FOV so that the analytic engine can accommodate for the physical orientation of the installation. This will mitigate false-positives and increase analytic accuracy.

 

Moving Ambient Background

The analytic engine identifies, and tracks objects based on the background modeling that the camera created while continuously studying the target area. If the analytic engine detects that a change has been made to the background (ambient traffic, sudden lighting changes, etc.), the analytic engine may read the changes as an event and track the changes as if objects were moving, which may increase false positives.

To mitigate this, create a Non-Detect Zone rule and mask areas where ambient motion may occur (i.e. highways, foliage, etc.)

 

Lighting and Shadows

When installing any camera, it is important to consider the environmental lighting conditions of the target area. Areas that experience sudden and frequent lighting changes, shadows, or poor lighting conditions in general are more likely to experience issues when the camera transitions between Day Mode and Night Mode, lower image quality, and other inconveniences.

A camera should be positioned so that it does not receive direct light from any source to prevent lens flares. If cameras are installed indoors, avoid placing cameras too close to fluorescent lights, particularly if the light source is close to the camera’s viewing axis. Light can strike the dome of a camera and reflect directly into the lens, which (due to fluorescent lights emitting light in pulses) can generate visual artifacts such as ‘banding’ in the image. This can be mitigated by positioning the camera outside of direct paths of light or by maximizing the distance between the camera and ambient light sources.

Ideally, the target area should have consistent lighting, with minimal shadows or reflective surfaces. For example, if a camera is facing any doors or windows that can reflect sunlight toward the camera, the object tracking performance will be affected. Or, as another example, shadows that are created by trees can be a source of false-positive object tracking by the camera.

As the presence of consistently moving shadows can trigger the object tracking feature, creating false positives. Some analytic rules (e.g. Counting Line) will allow you to enable a Shadow Filter feature to mitigate the interference of moving shadows being tracked by the analytic engine.

 

Night Performance

When using a camera at night, the environment will need to either be adequately illuminated by external lights or the camera should be equipped with IR LEDs. Each camera should be positioned so that it does not receive direct light (such as from vehicle headlights) or at least a minimized amount of light when possible.

The night performance of the analytic engine relies upon the camera performance and the lighting quality of the target area. If the camera’s image is clear and there is adequate contrast between objects, then the analytic engine will perform well.

 

 

Raindrops, Snow, and Insect Obstruction

Environmental factors such as rain, snow, and insects can distort or obstruct the target area for the camera. In severe cases, this may cause false alarms to trigger. For optimal results, it would be best to mount the camera so that it is protected by a roof overhang to prevent moisture or snow from accumulating on the camera’s faceplate or dome.

Occasionally, the camera may need to be cleaned to clear the camera’s faceplate or dome from watermarks, spider webs, etc. that have built up over time. It is important that only plain water and a soft microfiber towel is used when cleaning the camera. The use of chemical cleaning solutions or non-microfiber cloth will damage the camera’s hydrophobic finish, causing poor video quality and analytic issues to occur.

 

 

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For More Information or Technical Support

DW Technical Support: https://www.digital-watchdog.com/contact-tech-support/

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Rev: 06/25                              Copyright © DW. All rights reserved. Specifications and pricing subject to change without notice.                            

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