SureVision 2.0 — Delivering Outstanding Image Quality
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Schneider Electric SureVision™ 2.0 — Delivering Outstanding Image Quality Choose with Confidence.

DISCUSSION POINTS Extreme Lighting Conditions • Wide Dynamic Range (WDR) 4 • Enhanced Tone Mapping 6 • Outstanding Image Quality 7 Pelco by Schneider Electric White Paper

Overview Image quality is one of the most critical yet challenging elements of video surveillance. This is because every environment produces a variety of extreme lighting conditions and corresponding challenges that your technology must be equipped to handle. Pelco’s new Sarix® Enhanced cameras, IMM Series multi-sensor panoramic cameras, and Spectra® Enhanced cameras combat these challenges with the advancements in SureVision™ 2.0 technology. SureVision 2.0 combines advanced low-light capability, true wide dynamic range (WDR), and anti-bloom capabilities for industry-leading image quality....

Low-Light Conditions The ability to see detail and color in the dark is one of the most important aspects of a security camera. Perfect lighting is a luxury, largely absent in the video security industry. Low-light performance for a video security camera is the ability to resolve objects at extremely low light levels. There are many technical factors that influence this ability, such as sensitivity of the image sensor, speed of the lens, and the applied image processing. In the final analysis, what matters to most users of security cameras is how well a camera preserves image detail and...

Measuring WDR To truly understand how SureVision 2.0 sets the bar in wide dynamic range performance, it is necessary to understand what exactly dynamic range is and how to quantify it correctly. Simply put, dynamic range in an image is the ratio between the brightest and darkest, correctly resolved, portions of an image. This ratio is usually expressed on a logarithmic scale as decibels, or dB, but can also be expressed as a linear ratio. For example, when 120 dB is specified on a camera, this corresponds to a 1,000,000 to 1 linear ratio between the brightest and darkest portions of the...

Noise Filtering Traditional noise filtering uses temporal noise reduction, which compares one frame to the next and removes data (noise) that doesn’t match. This process reduces overall noise content in an image. Unfortunately, traditional noise filtering technology only removes the noise in the foreground of the scene. The result is that only the objects in the foreground are processed to reduce the visual noise, and anything in the background remains unprocessed. For example, a parking lot at night. Objects that are closer to or approaching the camera, such as vehicles or people, are...

Outstanding Image Quality with SureVision 2.0 SureVision 2.0 technology delivers outstanding image quality in challenging lighting conditions. To combat these challenges, SureVision 2.0 seamlessly combines true wide dynamic range and advanced low-light performance at the same time, simultaneously. Very few products have these technologies today. Anti-bloom technology also provides the ability to enhance night scenes when there are bright lights obscuring the details within a scene, such as a license plate or the make/model of a vehicle. 3D noise filtering reduces the overall noise in a...

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