Choose
the most suitable lenses, heights and locations for camera installation
to provide the required parameters of view areas for detection
and identification
of a person and license
plate reading.
Calculate
the horizontal projection sizes of person detecting, identifying
and license plate reading areas to draw them on the location
plan.

Calculate the horizontal projection of camera control areas
including shadows
from obstacles on the scene.

Calculate the image
size on display of any object in camera view area in percentage
of display size, pixels, TV lines and millimeters(inches in
case of Imperial format).

Choose right positions and calculate control areas of PTZ
cameras, dome cameras and 360 degree cameras.

Get detailed adjustable table
of all initial and calculated parameters of cameras in project.
Print the table or export it to *.txt, *.csv,*.rtf, *.xls, *.htm
formats.

Maintain database
of camera models, assign different models for cameras
in project, compare models with each other.

Model
observed scene
parameters (illumination, visibility limitations).


Model luminaires
considering spectrum of radiation and spectral sensitivity of
image sensors, including discharge lamps with complex spectrum
and infrared LED illuminators.


Model
camera
parameters (spectral response, number of pixels, resolution,
minimum
illumination at known signal/noise ratio, IRE and aperture,
maximum signal/noise ratio, electronic shutter, AGC, BLC, gamma,
day/night cameras, frame
rate, interlace scan, global shutter and rolling shutter).

Model
lens
parameters (focal length, aperture, auto iris DC and Video
Drive).

Model DVR
parameters (brightness, contrast, compression, horizontal
and vertical sharpness).
Obtain Image
Model for each camera in the project based on models of
scene and equipment. This image can be printed and saved.
Model
images from megapixel
cameras with resolution exceeds screen resolution (Up to
100 megapixel and more!).
Calculate
and model in 3D depth
of field of each camera in project.


Model
moving
objects, camera frame
rate, create animated
images with moving 3D models.


Model blur
and distortion of moving 3D models depending on camera parameters
(exposure time, interlacing, rolling shutter).


Create animated
monitor models as html files with moving 3D models and separate
frame rates of each camera.