We were founded in 2005 in a tiny apartment in Bucharest, Romania as DeskOver.

Fittingly, it was a customer who, in 2012, first saw the immense possibilities for us in the fledgling RPA market. Our desktop automation product launched in 2013. In 2015, we introduced our enterprise platform along with our new name.

Today, UiPath is the fastest-growing enterprise software company in history with scores of offices, thousands of employees, partnerships with the world’s best consulting and BPO firms, a 500,000-strong developer community, and 5MM+ robots at work in over 5,000 global enterprises.

Our mission is to deliver the leading Robotic Process Automation platform to our clients for an automation first mindset.

We build software robots that automate repetitive processes. Our software robots take on the tedious, mind-numbing work and free people to do the more stimulating, creative work worth doing.

But no matter how much we’ve grown, one thing hasn’t changed. We’re still building a company we love to work for

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:

Training: When the robot gets train with new photos for an existing user or a new one.

Execution of a business process by having in front of the computer a known user.

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

EMEA Delivery Lead

Sorry but cannot access requirements.txt and intallation guide.pdf ^^

Error loading python script while executing, could you please help me out?

Able to train model. But while recognition i.e finding the match, there is an error. While debugging I observed that it is not able to find "20170511-185253.pb" file in "model" folder. When I check, there is such file id "model" folder. Please help in resolving this. Thanks Naraismha

Hello! whenever i am running the main after doing the prerequisite steps, I have a wrong credential error. What credential should I use? Where can i find them? I have have used my windows credentials already and it's not working. Thank you!

Hi there. When opening the Main.xaml file, it says wrong version of the Studio. Cannot open. Could you perhaps release a version of the UiPath code for the latest 2019 package?

If I install the packages from "requirements.txt" in my python 3.7, will the framework work after I make the changes from installation guide pdf.

In preprocessing I have error:"RemoteException wrapping System.InvalidOperationException: Error invoking Python method&nbsp;---&gt; RemoteException wrapping System.ServiceModel.FaultException`1[[System.ServiceModel.ExceptionDetail,System.ServiceModel,Version=4.0.0.0,Culture=neutral,PublicKeyToken=b77a5c561934e089]]: ImportError : DLL load failed: Nie można odnaleźć określonej procedury.&nbsp;"In English it's"A specific procedure cannot be found.&nbsp;"EDIT:Fixed by Upgrading Python to 3.6.7

Python is installed and configured, but I'm having this error when executing the process.

Load Python Script: Error loading Python script

Hi, we are working on a project and would like to be able to publish this to Orchestrator. The problem we are running into is when we try to publish the package we get a timeout error and we believe this is because of the package size being to large. A couple work arounds we came up with are:

1. Utilize AI Fabric and implement a custom ML model with the python code. We would have to change the names of the functions and files which will most likely lead to more errors sending us down a rabbit hole.

2. Reduce the size of the framework by referencing the model file and image directories locally. We would then publish the workflow and python files to orchestrator but the images and model would be referenced locally. The downside to this is we have to make sure the path to the model file, as well as the image directories are consistent across all of our machines. Additionally our models will be trained differently.

We have just over a week left until our project is due and was wondering if there is a better solution? We are all pretty new to UIPath.

Good day! Thank you for this interesting work of yours!

I really wanted to implement this to our system and to our future projects.

I  followed the installation guide you provided here however, whenever I run the Main.xaml file this issue always comes up.

Web Browser - Cannot find file ... Make sure the path or internet address is correct

Thank you for your positive gesture in advance!

Awesome Component! - Big congrats for this project! Well done - everything is working as described. 


Cannot access requirements.txt, installationguide - Cannot access "requirements.txt" and "installation guide.pdf" as provided. Any possibility to fix? ^^
[20190503] Fixed and accessible for both file. Will try real soon
[20190507] Bravo! after install and explore the Framework reproduction is very smooth.
Thank you for initiative!


 - I was able to recognize my face
OK with glasses
NG with mask attached
great
python3.6.5 (anaconda3 5.2.0 64bit)


UiPath Face Recognition Framework

UiPath Face Recognition Framework

Help

How To