MOBOTIX MOVE Vandal & Analytics Hemispheric

Powerful all-round view day and night

The hemispherical MOBOTIX MOVE camera offers up to 12 MP resolution. It is equipped with a vandal-proof IK10 housing. The powerful indoor camera, with edge and backend dewarping, provides a 360-degree view of the entire surveillance area. Thanks to built-in IR illumination and advanced exposure control, even darkness is no problem for this camera. Simple installation makes it ready for use immediately.

MOVE-Hemispheric12MP-White-930x550
  • Network indoor camera with image sensor resolution up to 12 MP
  • Hemispheric function with edge and backend dewarping
  • IR LED (true day/night function, up to 10m)
  • ONVIF profile S/G/T support
  • Multi codec support (H.265/H.264/MJPEG)
  • Max. Frame rate (H.265, backend dewarping): 25 fps@12MP
  • Valdal-proof IK10 housing (indoor)
  • Sony CMOS progressive scan image sensor
  • Dewarp display modes: Digital PTZ/Panorama view/Quad view
  • True day/night function (ICR)
  • Intelligent Event Functions: External input/Manual trigger/Motion detection/Periodic event
  • Micro SD/SDHC/SDXC card support up to 512 GB
  • Bi-directional audio, microphone and built-in speaker 
MOBOTIX MOVE Analytics Icons auf weiß

MOBOTIX MOVE Camera with Eight Integrated Video Analysis Tools

This new MOBOTIX MOVE camera also provides advanced image processing algorithms for intelligent video analysis directly via the camera firmware. Without additional licensing costs for the video analysis package currently consisting of 8 different application functions*, you can use the camera even more efficiently in numerous different application areas. 
*Object counting, intrusion, object removal, camera sabotage, abandoned object, stopped vehicle, wrong direction, loitering detection. Up to two video analysis tools can be activated simultaneously per camera.

Please note: These video analysis functions are preferably suitable for "Uncrowded Areas." These are application scenarios in which not very many people are moving around, and the view of the surveillance area is not obscured or influenced by objects. The quality of the algorithms, i.e., detection accuracy and false alarm rate, depends heavily on the installation and parameterization of the cameras.