Published on: 2020-04-03 16:37:45
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Digifort is a powerful software for monitoring and monitoring network and analog cameras. The program is highly extensible and can be customized to suit all parts of the application to suit the most in the field. One of the strengths of this program is its image processing engine. The intelligence of surveillance systems has always been one of the most important issues. One of the most important indicators in the intelligence of surveillance systems is their accuracy and speed in image processing.
Digifort has many years of experience in image processing with one of the most powerful and accurate image processing systems available. It accurately and quickly detects the faces of people, can count and classify different vehicles and objects, detects camera damage, can analyze people\’s movements, such as stopping at a specific location, number People represent a different area.
This program can be made smarter by using different modules as well, for example one of the important modules of this program is face recognition and matching which can be found within the individual population with a specific face and its degree of adaptability. Observed. Face detection and matching speed is very high and with a relatively robust system the performance of the program doubles. Or license plate modules that identify car license plates with great accuracy and provide various options for storing plates, sorting them, finding specific plates, as well as alerting for unauthorized plates and many other features. Gives.
SUPPORTED OS for v5
DigiFort has been tested to work with the following Microsoft Operating Systems; Windows 2003 Server (RC2 Recommended) Windows 2008 Server Windows XP Professional (Any Service Pack – SP3 Recommended) Windows Vista (Home / Professional / Business) Windows 7
NOTE: 64 bit Windows editions will work, although DigiFort is a 32 bit application.
Read the Readme.txt file.
Digifort Enterprise 6.5.0.1 version download link cracked on request of company representative in Iran.
132 MB
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