Samsung Techwins Technology Samsung Super Noise Reduction What

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Samsung Techwin’s Technology

Samsung Techwin’s Technology

Samsung Super Noise Reduction • • What is SSNR? Why is SSNR needed? Samsung

Samsung Super Noise Reduction • • What is SSNR? Why is SSNR needed? Samsung Techwin’s SSNR Journey How does SSNR work? SSNR Strengths Powerful new SV-V DSP The Future

What is SSNR? • SSNR Samsung Super Noise Reduction is a state-of – the-art

What is SSNR? • SSNR Samsung Super Noise Reduction is a state-of – the-art technology exclusively developed by Samsung Techwin for all their camera and dome products.

What is SSNR? • Samsung Techwin’s superior technology enables the camera to provide a

What is SSNR? • Samsung Techwin’s superior technology enables the camera to provide a virtual identical image to what the camera actually sees. • This is achieved by reducing both random and fixed noise in conditions of low illumination.

Why is SSNR needed? • One of the main reasons for having a CCTV

Why is SSNR needed? • One of the main reasons for having a CCTV system is to have the ability to record and review images. – In doing so there is little point if these images are poor and unusable. – Samsung Techwin’s SSNR technology substantially improves the image quality; producing sharper, cleaner and more effective pictures.

Why is SSNR needed? • Modern CCTV systems, record their video images onto Digital

Why is SSNR needed? • Modern CCTV systems, record their video images onto Digital Video Recorders, the amount of space taken up by an image is largely dependant on the quality of the image being recorded. – If the image quality is poor due to unnecessary noise or movement the image recording duration is vastly reduced. – In reducing the record duration extra expense is required to maintain the duration or compromises are needed in image refresh rates or quality. – Samsung Techwin’s SSNR technology cleans up the image and makes any compromise wholly unnecessary.

Samsung Techwin’s SSNR Journey SSNRII 2007 SV-4 & W-4 SSNR 2004 SV-3 & W-3

Samsung Techwin’s SSNR Journey SSNRII 2007 SV-4 & W-4 SSNR 2004 SV-3 & W-3 SSNRIII 2009 SV-5 & W-5 SSNR technology radically improved camera images.

How does SSNR Work? In • Samsung Techwin’s DSP included an “Adaptive Temporal Infinite

How does SSNR Work? In • Samsung Techwin’s DSP included an “Adaptive Temporal Infinite Impulse Response Filter”, by first passing the image through this filter and a “Frame Buffer”. 3 D DNR Frame Buffer Out

How does SSNR Work? • The chip compares and restores as close as possible

How does SSNR Work? • The chip compares and restores as close as possible to the original signal by monitoring the relationship between images that are continuously landing on the pixels. In 3 D DNR Frame Buffer Out

SSNRII followed in 2007 • The SSNRII version greatly reduced the smearing effect In

SSNRII followed in 2007 • The SSNRII version greatly reduced the smearing effect In often seen on moving images at night and improved the sharpness of edges on static images. • To achieve this, Samsung’s engineers developed the “Motion Edge Adaptive 2 D filter ”. 2 D DNR 3 D DNR Frame Buffer Out

SSNRII’s Motion Edge Adaptive 2 D filter • Motion Edge Adaptive 2 D filter

SSNRII’s Motion Edge Adaptive 2 D filter • Motion Edge Adaptive 2 D filter uses a 7 x 9 matrix of pixels (63) around the pixel that has had the noise 582 removed to restore its image as closely as possible to the original. 752 7 9

New for 2009 SSNRIII • SSNRIII uses “Pattern Matching” In technology. • This simultaneously

New for 2009 SSNRIII • SSNRIII uses “Pattern Matching” In technology. • This simultaneously reduces noise and maintains the objects edges in both static and moving images. • This is achieved by matching the closest 3 x 3 pixels matrix with the original pattern. 2 D DNR (P/M) 3 D DNR Frame Buffer Out

SSNRIII • In SSNRII Samsung Techwin used a 7 x 9 matrix of pixels

SSNRIII • In SSNRII Samsung Techwin used a 7 x 9 matrix of pixels to help replicated the original affected pixel. 582 • While SSNRIII uses a much smaller 3 x 3 matrix of pixels to reproduce a much closer match and in doing so improve the edges on both static and moving objects in the scene. 752 7 9 3 3

SSNR Strengths • • • Improved Night-time performance. Outstanding performance in removing image noise.

SSNR Strengths • • • Improved Night-time performance. Outstanding performance in removing image noise. Enormous positive effects on Hard Disc Drive saving. Notable improvement in sensitivity. Reduces Ghosting Effects.

Improved Night-Time Performance SSNR Off SSNR On

Improved Night-Time Performance SSNR Off SSNR On

Outstanding performance in removing image noise SSNR Off SSNR On

Outstanding performance in removing image noise SSNR Off SSNR On

Enormous positive effects on Hard Disc Drive saving. SSNR Off SSNR On

Enormous positive effects on Hard Disc Drive saving. SSNR Off SSNR On

Notable improvement in sensitivity

Notable improvement in sensitivity

Reduced Ghosting Effects SSNR Off SSNR On

Reduced Ghosting Effects SSNR Off SSNR On

Powerful new SV-V • In isolation SSNR • 650 TVL Colour Resolution produces enormous

Powerful new SV-V • In isolation SSNR • 650 TVL Colour Resolution produces enormous • Video Analytics benefits for both the – Tracking installer and operator. – Fence • Combined with…. – Appear-Disappear 16 zones – Alarm out • Wide Dynamic Range • Privacy zones • OSD access via Coaxial control

The Future • Operators and users value highquality images at anytime, in any location

The Future • Operators and users value highquality images at anytime, in any location and in any conditions. • At Samsung Techwin, we work to create the products that can produce and record those ideal images • We strive to develop technology that is always “Beyond your imagination”.

Summary • Samsung Super Noise Reduction Technology, provides a virtual identical image to what

Summary • Samsung Super Noise Reduction Technology, provides a virtual identical image to what the camera actually sees, by reducing both random and fixed noise in conditions of low illumination.

Thank you

Thank you