20 comments found.
Interesting is this with anti spoofing and APi to connect with Mobile and web ?
HI I WANT TO PURCHASE . FACE RECOGNITION ONLY SAVE TIME WISE DATA. I USING XCODE 11 .PLEASE HELP ME I CAN EDIT IT YEH NOT . HOW IS YOUR SUPPOT
HI! Nice application. Are you still support this project if I purchase it?
Android Version?
hello… very quick to recognise but if use a photo from another phone it recognises is there a way we could stop it??
Spoof detection ?
I got the errors: “DLIB_NO_GUI_SUPPORT is defined so you can’t use the GUI code. Turn DLIB_NO_GUI_SUPPORT off if you want to use it.” and “Also make sure you have libx11-dev installed on your system”. Please support me
Hi, did you integrate this project into another one? If yes, you should modify Preprocessor Macros and set DLIB_NO_GUI_SUPPORT there.
Hi, worked fine now. But i have a trouble about getFaceDescriptorFromImage function, it’s very slow. Your application on Appstore is very fast, i don’t know why?
Can I get the same in Android also?
No, we don’t have yet.
Any update for Android ?
No, we don’t have yet.
I agree spoof detection is crucial for facial recognition.
new image was not being added in demo app. app is crashing when saving person face
Could you send us the image which crash the app to thach @ facebit . net, thank you.
this happen when we try to save image using front camera or choosen from images
some times on back camera too
one more thing. no spoof detection… fooled by image in another phone
This system focuses on success rate and speed of recognition, if you want spoof detection, of course it won’t have less than $100 price 
so if we buy extended license will it have spoof detection. if user can fool system with photo then fundamentally this is useless right.
hello andyngca. when will you update the code same as app in appstore?
Hi, it is already the same as app in appstore.
Can you add something for me… Object detection
Will pay for it …
Please email me via thach [@] facebit.net, Thank you.
When are you gonna have the android version ready?
can you please make this web app?
No thank you, it should be native app for the highest performance.
not tested satisfactorily
As with all face recognition systems, there is a problem of light and picture position.
Please try to install the test app for your experience instead of random comments. Thank you.
Did you provide an installation guide step by step?
Could you provide more detail information? There is a quick-start guide how to compile and running the app.
HI, are you working on Android version or not?
Hi we’re still working on it.
Can we integrate the timesheet on another application for example, payroll system. or to door access? thank you.
Yes you can
are you planning to do a swift version?
It’s in Swift almost except the deep neural net.
Please clarify the tech stack: which DB are using? Which neural network API are you using? Or, must the purchaser buy services from Facebit.net? In other words, what are the additional costs to make the app work? I downloaded the test app. I see a link to pay for more DB storage?
DB: CoreData Neural network API: No API, local model and local NN. Not related to any API by facebit.net
The cost for running app is what you purchased from the Evanto system.
“I downloaded the test app. I see a link to pay for more DB storage?” -> This is just in-app purchase for removing limitation of storage, you can remove it from the code and get unlimited one.
Nice idea!!
I think it is More suitable for android. Will u have android? 2-how accurate it is? What is the max distance? Will it work if the user is 1 meter from the camera?
3-how scalable it is? I mean if there are 500 employee will it work?
Thank you! We will consider porting to Android. Accuracy is more than 96%, you may test it if you want, threshold for the face size can be easily adjusted, it can work from 6 meters to very close to the camera (30cm). If you have 500 employee, it still works!
In android, a lot of thing can be done and cheap and many addon hardware. In iOS, everything is limited and suitable only for personal use. so u should seriously consider android platform for this
We will, thank you GarudaOne!
