Showing posts with label DCSS. Show all posts
Showing posts with label DCSS. Show all posts

Friday, 15 April 2011

Understanding Picture Quality

In the last post on 7th April 2011 we had covered the different technologies available to you and a broad idea of the kind of output you can get from them. At Dee Cee Security Systems Pvt. Ltd. we are committed to suggest you the right technology and the right solution which exceeds your expectations and is within your budget.

Here we will give you a idea of the main aspect of CCTV Cameras which every buyer is looking for but gets confused when he sees technical words like CIF, 4CIF, D1,etc.

Before we go into understanding the above, you need to understand one word which "PIXEL". What is a Pixel?, while you hear megapixel, HDTV and other terminologies nowadays, very few people understand that they are based on amount of pixels they support.

In simple terms, PIXEL stands for Smallest Picture Element. See the below picture:


Image Source: Wikipedia.com

What you see above is a Monitor on the left. On the right side you see a image which is zoomed in version of the image. The selected area is shown as a square on the left side.The element has been red colored and named as Pixel. That is a Pixel. If we name that Pixel as P0 and the next one as P1,P2,P3...... and so..on... then we would get the image resolution. A image resolution bascially refelcts the total number of pixels the image.

Do understand the number of pixels is directly proportional to quality of picture. So higher the number of pixels better the picture clarity.

Following table gives you a idea of the number of pixels expected from a Analog Camera.

Table of Analog Video Resolutions (in pixels)
Format
NTSC-Based (in pixels)
PAL-Based (in pixels)
QCIF
176 × 120
176 × 144
CIF
352 × 240
352 × 288
2CIF
704 x 240
704 x 288
4CIF
704 × 480
704 × 576
D1
720 × 480
720 × 576

To understand the above, i will give you example, QCIF which gives you a resolution of 176 X 144 in PAL( used in Asian Countries) means it will give you a resolution of  176 Pixels X 144 Pixels horizontally and vertically. Thus as we go higher the image size increases.

The following is table of Digital Video Resolution ( or IP Camera Resolution):


Size/ Format
Pixels
QQVGA
160x120
QVGA
320x240
VGA
640x480
HDTV
1280x720
1M
1280x960
1M
1280x1024
2M
1600x1200
HDTV
1920x1080
3M
2048x1536

So you can see the number can go a lot higher in Digital Video Resolution compared to Analog Video Resolution thus offering you Best picture Quality.

You can get in touch with me at rohit at omnipolis.in for any clarifications.

Wednesday, 23 February 2011

Security Market

In today’s world, security as a word can be related to everything around us starting from Security of an individual, organization, assets and information. In the today’s rapidly changing world where technology has made the Globe flat for everyone, education about how to secure an organization or its assets is as important as taking a call on an investment to expand business. While many organizations acknowledge importance of security and allocate it the due share in their capital expenditure as well as recurring cost in manpower security, many organizations have to join the party.

According to Homeland Security Research “Global Standoff Terrorist Detection Technologies & Markets 2010-2014” report, this market (including systems sales, maintenance and upgrades) is forecasted to grow exponentially from US$540 million in 2010 to $6.3 billion by 2014. The landmark report, granulated into more than 80 submarkets, presents detailed analysis and forecasts of this rapidly evolving market. Users can profit from in-depth analysis of seven standoff detection modalities subsectors: 
·         Concealed Explosives & Weapon Standoff Detection Systems 
·         Walk-by Threat Sensing Systems
·         Pass-through Threat Detection Corridors
·         Standoff Biometric Identification Systems 
·         Standoff Behavior Detection & Tracking Systems
·         Vehicle Standoff Threat Detection Systems
·         Standoff Video Content Analysis Based Systems


@Rohit Jain - Omnipolis