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UiPath Face Recognition Framework

Bronze Certified

Solution

7 reviews

567

UiPath Face Recognition Framework

Bronze Certified

Solution

7 reviews

567


Summary

The recognition is completely based on deep learning neural network and implanted using Tensorflow framework

Overview

In UiPath Attended Robot Framework you can find a TensorFlow implementation of the face recognizer described in the paper FaceNet: A Unified Embedding for Face Recognition and Clustering. The project also uses ideas from the paper Deep Face Recognition from the Visual Geometry Group at Oxford.

The framework allows you to add an extra layer of security in attended scenarios. In order to do that the robot will ask your name and to take few photos.
The model needs to be trained once, for each user that is allowed to kick start the digital assistent for sensitive processes.
Face Recognition Framework is splited in two major segments:
  1. Training: When the robot gets train with new photos for an existing user or a new one.
  2. Execution of a business process by having in front of the computer a known user.

Benefits


Published: 26 Feb 2020 | Updated: 11 Dec 2020


License

By clicking download you agree to the following license.


Code Language

Visual Basic


Runtime

.NET Framework


Tags

attended
deep learning
python
robot
tensorflow

Compatibility

Studio: 20.4+


Dependencies

Must have: Python 3.6 with pip 10.0.1 Tensorflow (1.4.0) Scipy (0.17.0) Scikit-learn (0.19.1) Opencv (2.4.9.1)



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