AGRICULTURE
Introduction to the Leica BLK247, a sensor that fuses LiDAR, video, and thermal imaging with edge computing and intelligent algorithms to detect physical changes within a space.
Delayed arming allows to set a time for a person to be allowed in the zone before it sets off the alarm. This tutorial explains how to set up a zone to have delayed arming.
Short term snapshots are taken every time a zone is activated. This gives the system a new 'view' of the zone area to help eliminate false alarms.
This tutorial will show you how to place real cameras in the scene and how they are easily calibrated to be used inside accur8vision.
This tutorial will show you how to properly set up the zones for ultimate detection.
It is possible to update the snapshot by only clicking on the zone and selecting update snapshot. This makes it less timely than entering the settings.
his tutorial will show you how to add the real lidar to the scene and how to adjust it so that it is set up properly.
Real alarm events inside accur8vision gives you the trajectory, speed, and movement of the intruder. The lidar also instructs the camera to rotate to all alarm events.
This tutorial shows you were to find the archive and how to use it.
This function allows the user to set up different views inside accur8vsion in the scene and stores these different views for easier viewing.
Every zone inside Accur8vision can have different settings and can do different things.
This tutorial teaches you how to place virtual zones inside the scene.
There are times when there is not a person available to confirm the alarm. After a certain criteria happens it is possible for the system to auto confirm the alarm.
It is possible to view different layers inside the scene in accur8vision. These layers help the users in many different ways like camera and lidar view limits.
Watch this tutorial to know how to create and place a 3D map inside accur8vision
This tutorial will teach you how to place virtual lidars into the scene.
This tutorial shows you how to add virtual cameras into the scene.
This tutorial shows the user how to properly set up the clustering of points to obtain an optimal point density of detected objects.
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