CrossTech DataNova OR (Object Recognition)

The main articles are:

• Computer vision (machine vision)
• Video analytics (terms, applications, technologies)
• DLP - Data Loss/Leak Prevention

DataNova OR (Object Recognition) is a solution developed by CrossTech Solutions Group. The functionality of the product is based on computer vision technologies. This tool allows you to use the interception of a video stream from a webcam to monitor the activities of remotely working employees and detect illegitimate activity in accordance with the configured security policy and block the workstation.

2022: Tasks to be solved and main functions

According to information for March 2022, DataNova OR proposes to solve the following problems:

• Implementation of logic for intercepting a video stream from the device's webcam;
• Training of neural networks and implementation of logic for recognizing objects on the video stream;
• Automatic blocking of AWS in case of detection of an incident;
• Centralized collection of recognition results and recorded incidents and deviations;
• Automation of management and application reporting.

Main functions

You can use DataNova OR to solve the following queries:

• Intercepting images from the device's webcam;
• Identification of various objects on the video stream using computer vision technologies;
• Identification of attempts to photograph the screen, drink alcohol and other illegitimate actions according to the security policy;
• The ability to configure security policies in terms of detecting illegitimate actions and blocking the workstation;
• Support mechanisms for developing custom correlation/anomaly rules;
• Automatic interception of images from a virtual webcam;
• A neural network that allows you to recognize more than 80 different objects;
• Using advanced facial recognition algorithms.

What results do DataNova OR provide:

• Automation of mechanisms to identify illegitimate actions of employees;
• Increasing the degree of objectivity and awareness of the activities of remotely working employees;
• Improving the efficiency of remote employees;
• Identification of illegitimate persons for AWS and/or identification of the employee's absence from the workplace during working hours;
• Implementation of real-time monitoring of employee activities.