• This way , there are no open ports or holes in the firewall , there ’ s no fixed IP address , and the system requires no VPN
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Our AI / ML analytics exist with- in the cloud . We run all the videos through a computation pipeline of increasing difficulty : every object is indexed much the way Google indexes content ), and tags faces , license plates , make / model of car , weapons , objects , animals
, etc .
Our analytics can search for bad actors , based on facial recog- nition software that leads the industry in accuracy , or by age , gender , color of clothing , mask vs no-mask , or for license plates , particular models of cars , as well as searching by location / cam- era / etc .
When clients access either their footage or analytics , they access it within that cloud – there ’ s no thick client software – it ’ s 100 % browser-based , and there are no DB sync tools across NVR ’ s , etc ., that other solutions use .
The dashboard they see offers the ability to view both live view and recorded history , across all locations AND accounts with role-based access control .
Our Live View enables our users to view all their cameras with less than a 10-second delay ( we are always working on mak- ing this shorter ). Because it ’ s in the cloud , there are no limits to how many people can review recorded or live stream footage simultaneously
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If public safety
officials , for example , need to review the foot- age of a fire or a shooting , multicasting is no trouble : if 1mbps is uploaded from CVR to the cloud , and 10 people need to log in and see the live stream , it ’ s still only 1mpbs upload on
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