DataNova OR (Object Recognition) – computer vision technologies based solution.
The solution allows, by intercepting video stream from a webcam, to monitor the activities of remotely working employees
and to identify illegal activity adhering to the configured security policies and block the workstation.
What does DataNova OR address to:
Lack of tools allowing real-time tracking of user actions through the device’s webcam;
Lack of tools for automatic recognition of objects in images and video stream;
Need to comply with the business processes and register the deviations happening in video stream;
Need to improve the quality of work of remote employees;
Lack of objectivity and awareness of the activities of remote employees.
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The aim of DataNova OR
is to computerize the identification of deviations in the business processes of remote employees by analyzing video stream from a webcam.
DataNova OR tasks:
Implementation of logic for intercepting video stream from the device’s webcam;
Train neural networks and implement logic for object identification in video stream;
Automatic blocking of AWP if an incident is detected;
Centralized acquisition of identification results and recorded incidents and deviations;
Automation of management and applied reports generation process.
Solution description:
Functionalities and features of DataNova OR:
Use of advanced face ID algorithms;
Neural network that helps identify more than 80 different objects;
Automatic capture of images from a virtual webcam (hardware camera is working in a regular mode);
Support of tools for development of customized correlation / anomaly rules;
Ability to carry out post-event analysis of identification results.
How does it work:
How does it look like:
Expected outcome that the customer receives:
Mechanisms to identify illegal actions of employees have been automated;
Degree of objectivity and awareness of the activities of remote employees has been improved;
Increased efficiency of work of remote employees;
Identified illegitimate persons at the workstation and / or absence of an employee at the workplace during working hours;
Implemented real-time monitoring of employees’ activities.