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AXIS M30 Series

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Axis M30 Range

AXIS M30 Series addresses your need for an affordable priced, highly discreet & easy-to-install fixed dome camera with HDTV performance, customisable 180° to 360° panoramic views & H.264 video compression.

AXIS M30 Network Cameras can also be connected to our Video Services processing platform to provide monitoring services including:
  • Video Monitoring
  • Live Video Streaming
  • Door Station Answering
  • Remote Entry as a Service
  • Camera Health Monitoring
  • Virtual Patrols

HDTV image quality

Compact, vandal & tamper resistant design

Wide angle and 360°/270°/180° panoramic views

Wide dynamic range (WDR) for good detail in bright a& dark areas

HDMI output

Easy, flexible installation on wall or ceiling

Edge storage

AXIS M30 Product Series

AXIS M3057-PLVE MkII Network Camera

AXIS M3057-PLVE MKII

AXIS M3057-PLVE Mk II 6MP 360° Camera delivers a complete 180° or 360° overview, indoors or out.

AXIS M3067-P Mini Dome Network Camera

AXIS M3067-P

AXIS M3067-P delivers 6MP 360° panoramic overviews and supports day/night functionality for improved sensitivity in poor light.

AXIS M3068-P Mini Dome Network Camera

AXIS M3068-P

AXIS M3068-P delivers 12MP 360° panoramic overviews and supports day/night functionality for improved sensitivity in poor light.

AXIS M3077-PLVE Network Camera

AXIS M3077-PLVE

AXIS M3077-PLVE 6MP mini dome 360° camera offers excellent image quality with AXIS Lightfinder, Forensic WDR & Optimized IR.

AXIS M3085-V Dome Camera

AXIS M3085-V

The AXIS M3085-V is a cost-efficient, compact mini dome delivers great image quality in challenging light conditions.

AXIS M3086-V Dome Camera

AXIS M3086-V

The AXIS M3086-V is a cost-efficient, compact mini dome delivers great image quality in challenging light conditions.

AXIS M3088-V Dome Camera

AXIS M3088-V

This cost-efficient, compact mini dome delivers great image quality in challenging light conditions. And, with a deep learning processing unit, you can benefit from advanced analytics based on deep learning on the edge.

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