Area protection is an integral part of any physical security system, whether for protecting critical infrastructure, manufacturing and retail spaces or private residences. Over the past decade, advances in surveillance technology such as alarm sensors and movement sensitive cameras vastly improved and simplified the task of area protection.
Recently, the development of machine learning algorithms and the rise of computer vision solutions has helped to reduce false alarms, and made surveillance tasks truly automated for the first time. Object detection combined with smart area protection, can now reliably detect only the objects you are interested in, at the time you want, in specified areas in the camera's point of view.
With computer vision, you can achieve higher accuracy compared to traditional methods, with more information that can be extracted using AI. A fully automated area protection with intrusion recognition works for you 24/7 and saves the costs of manual personnel required.
monitoring without the need
of constant supervision.
existing passive camera
systems to detect objects
of false alarms through AI
powered computer vision
virtual fences around the area
you want to protect directly into
the video stream.
people and object detection in
multiple video streams at the
for each camera connected.
Draw custom sized/shaped areas into the video stream where you want the detection to take place. When an object of interest is entering, leaving or remains in the area for longer than X amount of time, an action gets triggered.
With lines that you draw in the videostream, you can trigger an alarm when an object important for you crosses it in one way or another. Additionally you can automatically count the number of persons/objects that cross the line.