
Designing a Site with
Pelco Smart Analytics
Document number:C6717M-B
Publication date:02/23

Designing a Site with Pelco Smart Analytics
Table of Contents
Introduction 1
Classified Object Detection 1
General Guidelines 1
Mounting Height and Angle 1
Field of View 2
Object Speed 2
Camera Image Rate 3
Reflected Light 3
Headlights 3
Adaptive IR 4
Lux on Target 4
Obstructions 5
Analytics Scene Mode 5
Detection Range 6
Outdoor Areas 6
Indoor Areas 8
Self-Learning© 8
Resetting the Learning Progress 9
Camera-Specific Guidelines 9
Pelco Sarix Professional 4 Series camera 9
Pelco Fisheye camera 9
Pelco Sarix Corner Mount 3 Series camera 10
Pelco ExSite Enhanced 2 Series camera 10
Pelco Esprit Compact Series camera 10
Pelco Sarix Modular camera 10
Pelco Sarix Thermal Enhanced 4 Series camera 11
For More Information 11
Pelco Troubleshooting Contact Information 11
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Designing a Site with Pelco Smart Analytics
Introduction
Pelco video analytics cameras are easy to install and can achieve positive analytics results without
ongoing configuration adjustments. Pelco's patented video analytics are designed to automatically adjust
to subtle changes in the camera’s field of view, like changing seasons, without configuration or
adjustment.
Objects are classified as person or vehicle. You can set up analytics events to send to a VMS in the
Camera Configuration Tool (CCT) software. CCT is available from https://www.pelco.com/camera-
configuration-tool.
For video analytics to perform effectively, the analytics cameras must be installed correctly.
Video analytics enabled cameras must be installed:
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Within the height and angle guidelines.
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Within sight of the area of interest.
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Where there is sufficient light in the area of interest.
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Where there is sufficient contrast to detect foreground motion.
For example, a person walking in white clothes in a snow-covered field of view may provide poor
results.
The following information provides a basic set of installation parameters. Read through the
entire document before installing cameras. For unique camera model requirements, see section
Camera-Specific Guidelines.
For site configurations that differ from the listed recommendations, or when in doubt, consult a
Pelco representative before installing the cameras.
Classified Object Detection
Design your site with the following guidelines to use video analytics for Object Classification.
General Guidelines
In general, cameras should be installed according to the following guidelines to achieve optimal analytics
performance.
Mounting Height and Angle
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Cameras should be mounted at a minimum of 2.8m (9ft) level to the horizon and ground plane
(for outdoor or large indoor areas).
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Cameras can be tilted within 30° from the horizontal for optimal object classification.
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Designing a Site with Pelco Smart Analytics
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Increasing the tilt angle can help in detecting targets that are directly approaching the
camera.
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The camera should be tilted no more than 45° from the horizontal.
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Cameras should be mounted to a stable surface to minimize vibration and movement.
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Select a lens, mounting height and tilt angle to capture the required level of detail for Classified
Object detection within the scene.
Field of View
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Camera field of view must be level with the horizon.
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People in the field of view should be walking upright.
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People and cars moving parallel to the field of view provide better results than objects moving to or
from the camera.
Object Speed
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Designing a Site with Pelco Smart Analytics
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Position cameras so that they can capture moving objects in the field of view for at least 2
seconds.
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Cameras are designed to detect stationary and moving objects immediately, although there
may be a slight delay in some scenes. However, CCT analytics event configuration requires a
2 second minimum threshold to reduce false alarms.
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If fast, lateral-moving vehicles are expected, use a wider field of view to increase the available
observation time.
Camera Image Rate
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For Smart Analytics cameras, there is no minimum image rate for Classified Object video
analytics. The analytics are performed independent of the camera’s encoded image rate setting.
Reflected Light
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Avoid direct light sources.
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The camera may be temporarily blinded if bright light sources shine directly at the camera.
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Position the camera so that the sun, headlights, or other light sources do not shine directly into the
lens.
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Avoid installing the camera in areas with drastic changes in lighting throughout the day. For
example, avoid installing the camera in an indoor space with direct sunlight through a skylight or
large windows.
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Significant changes in lighting cause large shadows and different coloring in the space. Such
changes may generate inconsistent detection results.
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Be conscious of indirect light sources, including reflections from built-in or external IR illuminators,
to avoid lens flares and loss of contrast in the image.
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Cameras with wide dynamic range (WDR) may be able to overcome this issue in some
instances.
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Avoid mirrors and other reflective surfaces (like shiny floors and ceilings). Reflections may cause
additional false detections.
Headlights
Headlights can pose a challenge to video analytics, combining low-light conditions with extreme
differences in lighting.
Headlights can interfere with video analytics when:
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The light shines directly into the camera.
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The surrounding environment is too dark.
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