IC Realtime 5MP Pro AI 50m IR 2.7-13.5mm IK10 Bullet

SKU: ZENON-4s-BM5-IXV-W

The ZENON-4s-BM5-IXV-W is 5 Megapixel 2.7~13.5mm Motorised Bullet. It has a Smart IR Viewing Distance of up to 50m, 120dB True WDR, 1 in/out Audio interface





Listed for Support Purposes Only

 


The ZENON-4s-BM5-IXV-W is 5 Megapixel 2.7~13.5mm Motorised Bullet. It has a Smart IR Viewing Distance of up to 50m, 120dB True WDR, 1 in/out Audio interface and 2 alarm inputs & 1 alarm out. 

Utilizing an Ambarella SoC the ZENON-4s-BM5-IXV has H.265 compression (High Efficiency Video Coding) as standard, H.265 was developed to improve HDD storage requirements and reduce bandwidth consumption. For example, at an identical level of visual quality the H.265 codec enables video to be compressed to a file about half the size (or half the bit rate) of H.264.

Also incorporated are vastly improved deep learning algorithms which enable increased accuracy in the cameras' intelligent detection functions by implementing human and vehicle classification into Tripwire and Intrusion alarms. Other available intelligent features include Face Capture, Face Attributes and line cross and region based People Counting.


Features:

  • 1/2.7” 5Megapixel progressive scan CMOS
  • H.265 & H.264 triple-stream encoding
  • 20 fps@2592 × 1944, 50/60 fps@1080P(1920 × 1080)
  • WDR (120 dB), Day/Night (ICR), 3D DNR, AWB, AGC, BLC
  • Multiple network monitoring: Web viewer, CMS (DSS/PSS) & DMSS
  • 2.7 mm–13.5 mm motorized lens
  • 2/1 Alarm in/out, 1/1 audio in/out
  • Max. IR LEDs Length 50 m
  • Micro SD memory, IP67, IK10

Perimeter Protection 
Perimeter Protection functions significantly improved accuracy. Perimeter Protection reduces false alarms and decreases pixel count requirements for object detection. Perimeter Protection features custom tripwires based on object type for automation in limited access areas such as pedestrian or vehicle-only zones. This combination of advanced AI analytics and real-time alerts to a desktop or to a mobile client reduces system requirements and resources resulting in greater surveillance system efficiency

Face Detection
Face Detection is a software application that automatically captures faces from within a digital image or a video frame from a video source. Dahua cameras use advanced deep learning algorithms and are trained by a large number of face data sources, enabling the camera to locate faces quickly and accurately from the video source and capture facial images.

Face Attributes
Through the use of deep learning algorithms to analyze facial images, cameras can extract six facial attributes from each frame, including Age, Gender,Expression(Jolly/Surprise/Normal/Rage/Sad/Disgusted/Confused/Frightened), Glasses,Mouth Mask, Moustache & Beard. Customers can acquire data of interest via face attributes statistics.

People Counting
People Counting function uses advanced image processing technology to capture depth information from within images. The camera pairs this information with deep learning algorithms to analyze and detect human bodies and track target objects in real time. The camera provides statistics for separate individuals’ entrance and exit with up to 95% counting accuracy.

ePoE
ePoE technology, adopts advanced 2D-PAM3 coding modulation from physical layer, and realizes full duplex transmission over 800 meters at the speed of 10Mbps, or 300 meters at the speed of 100Mbps via Cat 5 or coaxial cable media.

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