Xeoma x64 21.3.4 freeware

... advantages of this video surveillance program. With Xeoma x64 Video Surveillance Software you can build a chain of modules as sophisticated or simple as it is required to efficiently address your goals. Form and configuration of your chain of modules will only depend on your imagination. ...

Author Felenasoft
Released 2021-03-22
Filesize 93.00 MB
Downloads 1731
OS Windows 7 x64, Windows 8 x64, Windows 10 x64
Installation Instal And Uninstall
Keywords video surveillance x64, monitor webcam x64, motion detector x64, surveillance x64, webcam x64, monitor x64
Users' rating
(21 rating)
Xeoma x64 - x64 office Freeware Download Notice

Xeoma x64 Free Download - we do not host any Xeoma x64 torrent files or links of Xeoma x64 on rapidshare.com, depositfiles.com, megaupload.com etc. All Xeoma x64 download links are direct Xeoma x64 download from publisher site or their selected mirrors.

Xeoma x64 freeware - The Latest User Reviews
Xeoma x64 freeware - The Latest Versions History
21.3.4 Mar 22, 2021 New Release Eye Tracking: new Additional module “Eye Tracking” has been added. This module is used to track what people in camera’s sight are looking at. This can be successfully utilized in various spheres including psychology research and neuromarketing. Read more
Parking Spots: new Additional module “Parking Spots” has been added. This module is used to automatically determine and update the status (empty/occupied) of parking spaces in a parking lot. The module can also be used for other objects types, for example, for attendance in offices, statistics in cinema, etc. Read more
Face Recognition: frame that appears around the face of a recognized person and their name are now overlaid on screenshots that you take from the Xeoma interface using the “Screenshot” option.
Face Recognition: improved the accuracy of face recognition for both “Statistical Analysis” and “Artificial Intelligence” methods of recognition by adding an option to the module settings to also analyze posture of the human body
20.4.28 Apr 30, 2020 New Release Improved Additional module “Color Detector” – now it can work in combination with the “Face Recognition” module to detect the sought-for colors only in areas in which a face is found. This is relevant, for example, for the automatic fever detection in passengers at the airport. See more about Fever Detection in our PDF promo.
Added the ability to restore settings to one of Xeoma’s automatic backups, right from the Xeoma interface. Now the “Settings Restore” menu allows you to rollback to a backup of settings – not only those made by you through the “Settings Restore” menu, but also from those that Xeoma does automatically.
PRO: Improved face detection algorithms of the “Face Recognition” module. You will get a higher accuracy now for a more flawless system operation.
Xeoma Pro Your Cloud: The EmailMinSendInterval parameter has been added to the user’s configuration files, which limits the interval for sending messages in the “Sending Email” module. Now you can strictly control how often Xeoma can send letters to subscribers.
20.2.13 Mar 2, 2020 New Release Additional module: Car speed detector. This module works in combination with the ISKRA DA/40 hardware speed radar and the ANPR (License Plate Recognition) module and is able to determine speed of the car by correlating data from the radar, a photograph of the car and its recognized number. This module is purchased separately and activated over Xeoma Standard or Xeoma Pro modes. Available for testing in the trial version of Xeoma for 1 hour, then reconfiguration is required;
Additional module: improved visualization in the “Object Recognition” module. Objects that don’t meet the set criteria for triggering will now not be highlighted;
Additional module: the “Object Recognizer” module now can pass information about the detected object type to the “Sending Email” module. Use the %OBJECT% macro in the messages’ subject or body;
Additional module: improved CSV reports for the “Face Detector (Emotions)“. Reports now have information about the detected emotion and how sure the AI is this is e

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