MOBOTIX MOVE Hemispheric Camera

Vandal & Analytics

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.


•    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): 20 fps@12MP
•    Vandal-proof IK10 housing (indoor)
•    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. It consists of eight different application functions (see images). Without additional licensing costs for the video analysis package, the camera can be used 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.


The camera is ideal for all situations.  However, video analysis functions work best in uncrowded situations. But these application scenarios typically have few people moving around so the surveillance view is unlikely to be obscured or influenced by other objects. The quality of the algorithms (i.e., detection accuracy and false alarm rate) depends heavily on location and view parameters of the camera.