Video Surveillance Cameras
How to choose the right video surveillance system cameras for your needs:
We are dedicated to educating our clients as much as promoting the best video surveillance cameras. Here are some things to consider when purchasing or upgrading an existing video surveillance system. We can help you determine the best solution for your video surveillance problems.
We are an authorized value added reseller (VAR) of Avigilon cameras and video management systems in the Indianapolis area. Avigilon cameras and software is unique in that it uses JPEG2000 technology to capture full frames per second instead of the traditional interlaced MPEG4 technology. There is no one else doing what Avigilon is doing.
Multi-sensor cameras with multiple, ultra-wide lenses can divide up a large area into quadrants and capture a big outdoor or indoor space in clear, sharp detail. The alternative uses a fisheye lens that distorts the scene like a fun house mirror and uses only part of the camera’s image sensor. Our technologies give you a full view of large spaces, undistorted by lens artifacts.
Image Sensor Quality
Today’s surveillance cameras use megapixel and HD image sensors, some consistent with the quality you find in a home video camera. These sensors capture the large amounts of video information necessary to cover large surveillance areas and provide images with fine detail suitable for recognition of faces, license plates, and action.
Just reducing the size of the image stream isn’t the only consideration. Some compression algorithms introduce artifacts that can destroy image detail. The result can be blocky distortion and distracting halos around objects in the image. To maximize image quality, our systems rely on compression schemes chosen to yield the right image quality for your needs.
Performance in Low Light
Not everything you want to surveil happens under ideal lighting conditions. The surveillance system you choose must offer you usable image quality even under less-than-perfect lighting. With cameras based around image sensors developed for scientific applications, our surveillance systems offer you sharp image quality through a wide range of lighting conditions.
Image technologies must enable your surveillance-system operator to zoom in on areas of interest and magnify detail for a closer look. These actions require the ability to enhance image contrast and color to maximize your view of the details you want to assess. Our systems send optimized detail and color to standard computer monitors without losing the whole recording in the background.
Your surveillance system must be able to capture and store images from every camera in your network. Our systems have high data capacities that automatically regress archived video over time, which maximizes your storage capacity. The result triages your storage effectively, giving you the long view across time without sacrificing the ability to capture what’s going on right now.
Our cameras have no interruptible or accessible functions, defending them against tampering or data interception. Our systems encrypt your data in transit from camera to video recorder, avoiding the prospect of inappropriate access. No one can gain access to monitoring stations without logging in and all logins are added to an audit log file for administrator review.
Pixels per Foot
The amount of pixels per foot of video coverage determines your ability to recognize objects. Different applications require different resolutions. Pixels-per-foot creates a common metric that can be used to determine how many and of what type of cameras are needed to effectively monitor a facility with predictable image quality. This can be used in conjunction with the DCRI framework.
This framework is a common language to describe ranges of images levels from detection, classification, recognition, and identification. Detection-level imaging is similar to situational-awareness, whereas classification, recognition, and identification are all increasing levels of describable detail. The highest level of detail should be discerned from the “identification” level.