Siqura C-60 E-MC, User Manual, Page: 14 / 142

Siqura C-60 E-MC
Page 8
Web interface
Configuration, management, and live viewing are simplified by the access-controlled web
interface. Full in-
band control is available through Siqura‟s MX™ Configuration Tool Kit or the
HTTP API. The C-60 E-MC is field-upgradeable.
Image quality monitoring and tampering detection
The C-60 E-MC 's built-in image quality monitoring and tampering detection functionality can
raise an alert when a camera no longer produces a usable picture, when it is blocked, or when the
camera position has changed. The C-60 E-MC also includes SNMP support for both functions.
When an image quality or tampering alarm occurs a trap is sent to an SNMP manager.
Video Motion Detection (VMD)
The C-60 E-MC is fitted with a motion detector, which will raise an event when a certain amount
of motion is detected in a predefined area in the image. The motion detector runs real-time on
the live images; the detection itself is based on „averaged pixel change‟. The region of interest
(ROI) is obtained by masking the parts of the image of less or no interest, such as trees or a
fountain which would otherwise trigger false events. The mask can be drawn freely over the
image.
FTP Push
On the occurrence of an event the C-60 E-MC can post a JPG image on a remote server. The unit
pushes the image to one or two FTP servers. The event can be triggered externally, by VMD, the
Image Quality Monitor, Tampering Detector, etc., or the C-60 E-MC can periodically upload
images to the remote server(s).
Motion Adaptive Deinterlacing (M.A.D.)
Modern flat LCD monitors show interlacing artifacts when interlaced video is rendered to the
screen. These will appear as strange comb effects on the edges of moving objects. Siqura
developed a sophisticated deinterlacing scheme, which preserves the vertical resolution in static
images while filtering the interlacing artifacts around moving objects. This scheme is called
Motion Adaptive Deinterlacing or M.A.D™.
In addition, the actual deinterlacing (or filtering) is done by both linear and non-linear
interpolation. Linear interpolation has the best result in areas without edges, whereas non-linear
interpolation will show the best results along edges (no „staircase - effect‟). Siqura‟s Edge
Adaptive Deinterlacing (E.A.D.) uses the best of both worlds resulting in superior images with
smooth edges.
Interlacing artifacts (comb pattern) Same image, but M.A.D™ deinterlaced