Skip to main content

Video analytics deliver real time intrusion detection

Digital Barriers’ SafeZone-edge is an intelligent edge-based video analytics solution for automated real-time detection of intrusions, loitering and zone-crossing and is capable of working in all weather conditions regardless of changing lighting conditions, camera shake and background foliage movement. SafeZone-edge uses in-camera video processing to analyses the scene in real-time and provides both live video and metadata outputs. It has been certified by the UK Home Office i-LIDS scheme as an ap
June 9, 2014 Read time: 1 min
3558 Digital Barriers’ SafeZone-edge is an intelligent edge-based video analytics solution for automated real-time detection of intrusions, loitering and zone-crossing and is capable of working in all weather conditions regardless of changing lighting conditions, camera shake and background
foliage movement.

SafeZone-edge uses in-camera video processing to analyses the scene in real-time and provides both live video and metadata outputs. It has been certified by the UK Home Office i-LIDS scheme as an approved primary detection system in sterile zones.

Related Content

  • Next-gen sensor needs for safer, smarter cities
    July 1, 2021
    Next-generation radar sensor solutions will help smart cities deliver on the promise of optimising infrastructure, mobility, sustainability and safety, says Econolite CTO Eric Raamot
  • Machine vision offers new solutions to old problems
    October 28, 2014
    The transportation sector is set to benefit from a far wider range of machine vision technology. While machine vision techniques have been applied to traffic management applications for some years, in some areas there can still be a shortage of knowledge about what the technology can offer transportation professionals. The image processing and interpretation functions of machine vision enables control room staff to be immediately alerted to occurrences requiring attention which, in turn, enables each person
  • Growing use of video monitoring in traffic management
    February 2, 2012
    The county-wide expansion of CCTV coverage in Florida Department of Transportation's District Four is detailed by Citilog's Eric Toffin
  • IRD trusts in AI for traffic count and classification
    October 13, 2020
    IRD has announced its iTheia video-based traffic counting and classifying system that uses artificial intelligence (AI). Instead of classifying vehicles based solely on axle spacing or vehicle length parameters, iTheia classes vehicles based on visual input and a machine learning algorithm.