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Total Connect 2.0 Online Help Guide

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Improving video captures

All of our IP cameras utilize video analytics to detect motion. Some cameras also have a PIR (Passive Infra

Red) detector that may be used to detect motion.

PIR motion detection is based on sensing body heat via multiple beams. When the detected heat signature

breaks the beams in sequence, motion is detected. It has a range of about 15 feet (4.5m) and does not re-

quire ambient light to detect motion.

Video analytics detects motion by comparing sequential video frames for change. In many situations, video

analytics is a superior method of detection since it can be configured to avoid areas that may have movement

that would falsely detect motion. Additionally range is not a factor since motion detection is based on chang-

es to the video frame.

The video analytics utilize up to four detection areas. Each detection area can be positioned and resized in

the video frame to only look at areas of concern and to avoid areas that would result in false motion detec-

tion. When using video analytics, use the guidelines below to properly setup the camera to detect motion.

Video motion to avoid

• Lighting that is subject to rapid changes will cause unwanted motion detection. Examples are; rapid

changes from cycling interior lights, or external lighting that changes due to moving clouds, moving foli-

age, and weather conditions.

• People or cars that normally pass by a window, door or sidewalk.

• Blowing plants or flags.

• In commercial situations, non intrusion areas where people are expected to be.

When the scene has poor lighting

Poor lighting or low contrast scenes will never produce reliable motion detection. If the camera can’t see the

people, the video analytics will not detect any motion. Improve the scene by:

• Adding more lights. This is especially helpful in outdoor scenes, such as the backyard, or that dimly lit

pathway or porch.

• Distribute the lighting so as to reduce shadows.

• Using brighter lights.

Configure the capture zones for optimum motion detection

• Consider if the camera is correctly aimed to concentrate on the area that needs protection, and avoids

those areas that would not improve protection.

• Look at the image and identify portions of the image that would keenly capture motion that results from

intrusion. Position the detection areas to overlay those image portions.

• Keep the detection areas as small as possible to eliminate looking at video that may result in false cap-

tures.

• Take another look and readjust the position and size of the detection area as necessary.

• Test and fine tune the Activity Threshold setting for each detection area.

How to best apply these guidelines

By using the guidelines above to Configure the Detection Areas, then Adjust the Activity Threshold we can op-

timize camera’s detection. Let’s take a look at some sample configurations.

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