Optimization of CCTV Camera Settings

Introduction
When selecting a model of a camera we are usuallyComparison of popular compression formats at a
interested in possibility of adjustments to variousgiven quality
operating conditions. Of course, more advancedBack Light Compensation (BLC)
models have more capabilities, simpler devices keepThis function is the ability of a camera to compensate
some parameters fixed.the brightness of the subjects with a large amount of
However, in order to be able to take full advantage ofbackground light that would make it practically
the adjustments, please refer to their technical dataimpossible to see any details of the subjects. Backlight
and user manuals. We here are discussing a numbercompensation consists in adjusting the gain of the
of typical settings having an impact on the quality ofcamera to improve exposure of the subjects that are
the image, both positive and negative. Such knowledgein front of a bright light source. It allows to identify the
will help you achieve the best practical results of theforeground. Unfortunately, the background also
camera operation. The impact of changes in camerabecomes even brighter.
settings will be demonstrated for ACTI cameras, but
the rules apply to other types of cameras fromWide Dynamic Range (WDR)
different manufacturers.This feature of image sensors has been introduced
Resolutionrelatively recently. It extends the action of BLC. Due to
The main parameter which describes image quality isoperation based on the analysis of exposures of single
its resolution. It says about how many points the wholecells, at the same time it can brighten dark elements
image consists of. Of course, the larger the resolution,and darken too bright ones. The image processed this
the better the image quality or larger area that can beway allows to clearly see details both in the
monitored. In contrast, it creates a greater demand forforeground and bright background.
bandwidth and increases the volume of recordedWhite Balance (WB)
material. Typical resolutions: CIF (320 x 240), VGAThis is a function that influences representation by the
(640 x 480), D1 (720 x 576), SXGA (1280 x 1024),camera all the colors, in reference to "white" color. In
UXGA (1600 x 1200).automatic mode, the reference point for white is the
brightest point in the image. Because the camera often
Frame ratemonitors an area where the brightest point isn't really
The parameter specifies how many frames are"white", the colors in the image can be far from those
generated/transmitted in a unit of time - the morewe consider "real". The solution is to preset colors
frames the smoother image. PAL television systemcorresponding to natural or artificial lighting, as well as
has adopted 25 frames per second (fps), which isto save camera settings for a "white" pattern.
regarded as completely smooth image. However, due
to bandwidth restrictions, video surveillance systemsAutomatic Gain Control (AGC)
often use in practice frame rates 5 to 10 fps, whichThis allows an increase in sensitivity, enabling operation
are quite sufficient. Of course, there are specific casesin lower light conditions. However, it should be borne in
that require to use high frame rates, even 100 fps, butmind that with the strengthening of the signal, the noise
such solutions are not popular. Lower frame rates areis amplified as well. So the AGC level has to be set
used to control crowds, higher (25 fps) to monitor thecarefully, on a trial-and-error basis.
behavior of individuals, the highest to record quickAutomatic Electronic Shutter (AES)
processes (e.g. crash tests).The possibility of extending the time of opening the
Compressionshutter allows to increase the exposure of the image
A very important feature of IP CCTV camera is thesensor. This is a very useful feature in areas with low
kind of video compression. It shows technological levellight, since a longer exposure time results in a brighter
of the camera. The better compression, the lowerimage. However, it is not free from drawbacks. The
bandwidth requirements - at the same level ofproblem is blurring of moving parts of the image. This is
subjective quality. Popular video compression formatsdue to the fact that the objects move significantly
are MJPEG (in fact linking consecutive framesduring the period of opening the shutter, being
compressed as JPEG files) and MPEG-4 (creatingreproduced all the time. Another important limitation is
complete images one every several frames andthe frame speed of the camera - the opening time
refreshing them till the next complete frame only bycannot exceed the frame time.
the changes). The latest and most advancedSharpness
compression method is H.264 (MPEG-4 Part 10, orJPEG compression has a disadvantage - it generates
MPEG-4 AVC), a block-orientedblocks with undesirable texture. This causes strange
motion-compensation-based codec standard. Itpatterns in the picture. The effect is particularly visible
contains a number of new features that allow it toin dark scenes. The solution to this problem is to
compress video much more effectively than thereduce the sharpness of the image. Reducing this
previous standards, such as multi-picture inter-pictureparameter, you can smooth out the "noise" caused by
prediction and lossless macro-block coding. In practice,the compression. Of course, too big reduction would
the "gain" of H.264 in comparison with MPEG-4 ASPresult in a blurred image.
(bandwidth, file size, or transmission time) is about 30%.