Face Recognition

Product Specification

Version Q3-2021

Product Description

Incoresoft VEZHA works in security systems, safe and smart cities with large people's flows. It demonstrates good recognition results with a face size of 100x100 pixels. The minimum requirements are 75x75 pixels and can be used in malls, train and metro stations, outdoor areas. Incoresoft VEZHA scales perfectly with an increase of recognition channels. It offers continuous support, product updates, and improvements in recognition accuracy, and quality.

Face Recognition Features

  • Identification accuracy goes up to 98.35%
  • Unlimited quantity of the lists("white", "black", “VIP”, etc.) for individuals without any limitation
  • High-quality face recognition even with glasses, caps, mask, beard, and moderate facial rotation
  • Identification takes up to 0.1 seconds with a search base of 1 million people
  • Determining gender and age
  • Restrict access to notifications for a specific group of users

Camera Compatibility

The solution is compatible with all cameras, that return the RTSP stream.

A common choice for effective face recognition: AXIS  P1447 - LE,  AXIS  P1448 - LE.

Camera Installation Requirements

  • Quality: the highest
  • Bit rate: maximum possible
  • Profile: the highest possible
  • I-frame interval (GOV): 50
  • Stream smoothing: off
  • Exposure and brightness: such that for a given scene the face is clearly visible (if the camera is aimed at a light source, then an overexposed background is allowed)
  • Shutter speed: do not set too slow (more than 1/50), because in this case, the effect of blurring moving objects appears
  • Camera installation height requirements: recommended - 2.2 m (Minimum - 1.4 m; Maximum – 3.5 m)
  • People faces must be fully visible in the frame
  • There should be no reflective surfaces in the frame: glasses, mirrors, etc
  • A strong side light source (sunlight from a window) is not allowed, due to which one half of the face is overexposed

Requirements For a Video Stream

  • Optimal resolution for module operation: HD or FullHD or higher with an aspect ratio equals 16:9
  • Frame rate: at least 10 frames per second
  • Video stream must not be mirrored (horizontally reflected)



Minimum frame rate


Video formats supported: AVI, .MKV, .MPEG4, .MOV, .WMV, .DVR, .ASF, .RT4, .DIVX, .264, .GE5, .TS, .3GP, .XBA (single and multistream), .MP4, .FLV+

h.263, h.264, h.265 codec support


Technical Specifications

Cross-platform solution - Linux, Windows


Centralized management


Ability to work with various options for video sources


Determination of gender and age


Ability to set the size of the face in the frame


Identification of a person with a database


Configuring video analytics and real-time alarms


Ability to process statistics and generate reports 

Microsoft Power BI and others

Face recognition module


Search (filterable) recognition data in the archive


Working with lists


Filtering people behind the camera and selected period


Notification settings: sending to the system, by Email / Telegram / SMS


Ability to receive reports by the hour, day, week, or month


API integration


Database import (CSV) and export support (EXCEL / PDF / СSV / JSON)


Integration with third-party resources - JSON messages via HTTP, MQ, TCP


Minimum Software Requirements

Operating System - Ubuntu 18.04 or Windows 7 / Windows Server 2008 R2

Databases - MySQL 5.5 and newer, PostgreSQL 9.3 and newer, Oracle Express Edition 10g and newer, SQL Server Express Edition 2008 and newer

Minimum Hardware Requirements


Intel Core i5-8250U @ 1.60GHz and with higher performance




20 GB / day


Any from the list below or higher with better performance:

GTX 1660 6GB or

RTX 2060 SUPER 8GB or

RTX 2070 SUPER 8GB or

RTX 2080TI 11GB or

RTX 3070 8GB or

RTX 3080 10GB or

RTX 3090 24GB


5 Mb/s per 1 video analytic or higher*


200 ms or faster

Security Features

Restrict access to a specific group of users


Storing passwords of internal users of the system as a hash function


Encryption of information within the system with dynamic keys that change each time the module is started


Scalability of the solution


Business logic building system


Support for NVIDIA CUDA technology


Integration with various VMS - Milestone XProtect, Nx Meta, Luxriot Evo


Plugins Availability - Milestone XProtect, Nx Witness, Luxriot Evo


Protection of personal data


Support for different interface languages



1080 px or higher

Detection time

8-15 ms

Recognition time

10-20 ms


up to 500 fps in 1080p HD video

Face size for detection

minimum: 45x45 px, recommended: 80x80 px

Face size for recognition

minimum: 100x100 px, recommended: 120x120 px


optimal up to 45º

Slope (horizontal or vertical)

optimal up to 30º, horizontal or vertical

Camera support

all camera models, RTSP stream

Maximum number of cameras

Unlimited number, depending on PC or Server

Adjusting the accuracy of filters


Protocols -RTSP, H264 Motion JPEG JPEG AVI


Search by file and comparison with the database


Filter change background


Creation of statistical data on the basis of the analyzed


Combination with analyzed data from third-party sources (ERP, CRM)


Alarms and Events

Alarms based on comparison with the list


Alarms with sending events to other resources


Alarms based on object classification: face


Alarms about face recognition


Notifications based on the accuracy of the match


Notifications with a given face size


Open tools for integration and development


Software Licenses

The license model works per channel (on-premise or perpetual).





Incoresoft VEZHA  Face Recognition


Face Image Characteristics

  • Illumination of faces in the frame should be steady and constant
  • If the camera is installed in front of a bright light source (the sun behind the entrance door, etc.), then it is necessary to adjust the exposure (or brightness) so the face in the frame is bright. In this case, an overexposed background is allowed
  • Image quality must be at least average
  • There should be no significant compression artifacts. No blurring of the faces of moving people
  • Image must be colored