EZ-Face is the first in what I plan to develop into a suite of supporting application for ARC and other robotics applications. EZ-Face performs multiple face recognition. It has a interface for training faces and assigning names. When the application sees faces that are recognized the names are displayed and visually you'll see boxes around the faces with the names assigned. If a face is detected but not recognized there will be a display of a box around the face with no name. The more pictures of a face you train, the easier it is for the application to recognize a face.
This is a stand alone application developed in C# under Visual Studio.NET 2013. You should have .NET framework 4.5 and it is for Windows7 and Windows8.x systems.
This project showcase explains the technology behind the application and highlights development milestones.
Technology: Developed in .NET Visual Studio 2013 (you can use express versions with the source code) Designed to work with ARC but could be integrated into other software or robotic systems Is a standalone application Is open source, source code is included Uses emgu cv wrapper for .NET (Open CV)
Resources: (Things I found helpful in creating the application) ARC Telnet interface tutorial (Enable Telnet as the first part Shows, this is used to test communications manually to ARC via TCP/IP): https://synthiam.com/Tutorials/Help.aspx?id=159 If you do not have Telnet installed on your system go to this site: http://technet.microsoft.com/en-us/library/cc771275 ARC SDK Tutorial 52: https://synthiam.com/Community/Questions/4952&page=1 ARC script for listening to the TCP/IP port for variables: https://synthiam.com/Community/Questions/5255
Acknowledgements: DJ Sures, for making EZ-Robot and ARC so robust Rich, for his help with ARC scripting Sergio, for his emgu cv examples
Basic Usage Direction (after download and install): 1.) Open ARC and load the included EZ-Face example 2.) Click on the Script start button (this sets up the communications from the ARC side of things) 3.) Open the EZ-Face application 4.) Refresh your camera list (click the button) 5.) Select your camera (in the drop down list) 6.) Click the "1. Detect and recognize" button 7.) Train at least one face 8.) Change the local address and port number as needed (the local IP address may not be your computer's address - you can enter "localhost" and leave the port set to 6666 unless you changed that setting in ARC) 9.) Click File and select Save User Settings (to store your changes) 10.) Click Connection (this opens the communication line to ARC from the EZ-Face app side 11.) Allow EZ-Face to recognize the face you trained - then with your computer speakers turned on ARC should speak "Hello (the name of the face you trained)" 12.) If the example work - integrate in your EZ-Robot applications as you see fit
Tips: 1.) If after training several faces if you get false recognition of faces (faces recognized with the wrong name) - to correct this you should train the incorrectly recognized faces with the correct name. After a couple of training pictures are stored the accuracy of the face recognition will improve. 2.) Do not train faces with one camera, then switch to another camera for face recognition - recognition accuracy will drop.
Using Two Cameras: What I found worked best was to start ARC, select the camera I wanted and started the camera feed, then I started EZ-Face. If I reverses the process (even though I was selecting a different camera) I would get a black image in ARC.
2.26.14 Update: I still have several improvements I want to make before I upload the first public version of the application.
3.2.14 Update: The first public version is ready for release and is posted at the link below. This version has many user improvements to allow you store many settings, including http and port address, camera device, logging of faces in a text file (up to 1mb of data before the file auto deletes), face variable output to ARC, face training and more.
3.3.14 Update:
I updated the script, version 3.3.14 has the HTTP server panel (which is not used - you don't need to start it) but it does show you your computer's IP address so you can enter it in EZ-Face. Remember to save your settings under the File Menu. I also changed the script so it will no only speak for variable values greater than "" or NULL.
EZ-Face3.3.14.EZB
3.7.14 Update: I updated the EZ-Face application: "localhost" is now the default address, new option for auto connect, functions to receive commands from ARC or other 3rd party application to stop and start the camera feed within EZ-Face. There is also a new ARC project with several new scripts to test out the functions. Please go to my site to download the latest version. You will also find a video there that demonstrations the new functions and provides directions for setup and usages.
Download: The latest version will be published here: http://www.j2rscientific.com/software For support and reporting any errors please use the ContactUs feature from http://www.j2rscientific.com with the subject line "EZ-Face".
I welcome any and all feedback!
Thank you
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Working great now btw. Recognizes me with and without my glasses (but not if I cover my mouth with my hand).
Alan
I'm trying out the application this evening. I'm having an issue with the camera showing nothing but a totally blacked out image in the application. It seems to detect the integrated webcam in my laptop from the camera list just fine, but as soon as I click "Detect and Recognize" it displays a black square. Tested the webcam and it works fine in other applications. Any ideas here? Am I just having a compatibility issue with this particular webcam? BTW, Thanks for all the work on the application. It's great for EZ robot projects.
@bstaehling - If the screen is black - that could happen if a camera device was selected that is not turned on. For example, I have a wireless camera from the EZ-Robot kit and by default that is the first camera device, device 0 (that's just the order of installed devices on my system; everyone's will be different). If I don't use the refresh camera button to update the list of cameras, then pick my web camera before clicking "1. Detect and recognize" it will try to use my wireless camera (even turned off) and will display a black screen.
If those steps don't resolve the issue, please the Contact Us feature from http://www.J2RScientific.com so I can track your issue and help you one on one.
@thetechguru >>Working great now btw. Recognizes me with and without my glasses (but not if I cover my mouth with my hand).
Face recognition apps like this can do funny things. It will detect drawn faces on paper with the outline of head, 2 eyes, a nose and a line for a mouth) as face. I even tested making several small faces on paper with different appearances and taught them to EZ-Face. It made for a sort of poor man's barcode or glyph marking system. Not very practical, but its one more thing you could do.
Also, if you train a face like I did with an image of DJSures, but it recognizes another face (especially one not trained yet) as that person, go ahead an train the face by entering a name as the person it should be recognized as. After 2 or 3 trained images of the person you should see more accurate recognition.
Another tip: If I trained faces with one camera, but switched to another camera my recognition accuracy dropped and I needed to re-train. But your experiences will very based on your camera and environment.
Excellent work. I downloaded your app and tried it out. It was a lot of fun!
Justin, I have only to say: THAT'S incredible ! What a piece of amazing work. I've been playing around with that for the last hours and could imagine the wonderful tool we can now implement in our robots. Thank you, and thank all the genius guys around here, like Rich, DJ and Techguru... Soon I will post a video with my friend MOVUC to get your opinion about that. Best regards from Brazil. Tevans.
Justin, I have only to say: THAT'S incredible ! What a piece of amazing work. I've been playing around with that for the last hours and could imagine the wonderful tool we can now implement in our robots. Thank you, and thank all the genius guys around here, like Rich, DJ and Techguru... Soon I will post a video with my friend MOVUC to get your opinion about that. Best regards from Brazil. Tevans.
@DJSures, Thank you! I'm very glad I could contribute something to the community!
And to everyone here, Thank you, Thank you, Thank you for all the positive feedback and assistance in improving EZ-Face.