I want to use Firebase Face detection in Android.
As far as I read, it can detect faces.
Can I save the detected face and compare it next time for authentication?
No, at the moment, ML Kit only does face detection, and gives you face landmark coordinates. It will be a very inaccurate method if used for face authentication.
Related
I am new to WebXR. I was trying to use webRTC with WebXR. The user will first enter into AR session and then create a WebRTC peer connection but ice candidates are not generated in Chrome for Android of the user is in AR session. As soon as the user gets out of AR session, ice candidates are transferred. Is this a bug in Chrome??
The problem is Hardware related. Some devices allow the use of both Front and back camera simultaneously. In such devices, the code worked properly. In other devices, both front and back camera cannot be accessed simultaneously. Hence, code does not work in these devices. Also, the WebXR Device API does not allow access to camera feed at the moment, however it is a proposed feature.
Although I haven't tried it myself. But you can in theory use the canvas captureStream API to stream webXR canvas.
Can you post your code here. You might want to tweak how you pass stream to the webrtc connection.
As far as I know, it is not possible to use canvas.captureStream() because WebXR doesn't render to the canvas directly.
I am also looking for a way to stream a webXR-Session via WebRTC. So I would be highly interested in your solution shivamag00!
Hope to hear from you!
When I enumerate Bluetooth LE devices using WinRT API, sometimes, I needed to reset Bluetooth radio to successfully find my device. I am wondering is there an easy way to do this from code (Windows SDK, WinRT, WMI etc)?
After digging through Windows Universal samples from Microsoft, I have found a sample RadioManager which shows how to access Radios and turn ON/OFF from code at will. I was able to use the API successfully with a caveat that when used from Desktop WPF app, the app has to be built to match native architecture of the machine. Otherwise, ‘GetRadiosAsync’ method returns empty set.
I'm not totally sure, but resetting the system-wide Bluetooth radio is the sort of action highly unlikely to be available to an execution environment with non-admin privileges.
Anything able to stomp over the abilities of other processes (like turning off a radio) is not going to available in WinRT.
Edit: I stand corrected. Such an API apparently exists:
Windows.Devices.Radios.SetStateAsync
In RX you have observables and observers. So far I've dealt with those two conceptual elements being on the same machine. But what if they are separated by a LAN or even the internet? What are some options to transparently subscribe to an observable on a different machine? What technology can support this stream-subscribing behavior when there is a network in the way?
Specifically, my target platform is a WinRT app client and the server would be something running on a Windows machine.
Currently this is a very broad question and difficult to provide a helpful answer. I don't beleive that there is anything currently in the public space that allows for what you are asking i.e. Transparently exposing remote queries on an observable sequence. However Bart and the Rx/Bing/Cortana team at Microsoft have apparently got some internal software that does this.
To do this you really need to be able to serialize your queries and send them to the server. In the IEnumerable<T> world this translates to IQueryable<T> and the canonical example is LINQ-SQL/Entity Framework. In Rx IObservable<T> would map to IQbservable<T> (yes really), but implementations of this type are rare. I believe this is mainly due to the most people struggling with the learning curve that Rx presents, and don't want the extra layer of abstraction.
If you don't need the Transparent subscription, but just want to stream data from one server to another and cosume that with Rx, then you can do that with SignalR, WCF, Crossbar.IO/WAMP and I am sure many others. You may just need to put a tiny wrapper around the library, probably nothing more that an Observable.Create.
EDIT:
Here is an example of using Rx with Tibco's Rendevous (TibRv) communications stack.
https://github.com/LeeCampbell/RxCookbook/blob/master/IO/Comms/TibRv.md
and the code
https://github.com/LeeCampbell/RxCookbook/blob/master/IO/Comms/TibRvSample.linq
I've been writing an extension that allows the user to issue voice commands to control their browser, and things were going great until I hit a catastrophic problem. It goes like this:
The speech recognition object is in continuous mode, and whenever the onerror: 'no-speech' or onend events fire, it restarts. This way, the extension is constantly waiting to accept input and reacts whenever a command is issued, even after 5 minutes of silence.
After a few days of of development, today I reached the point where I was testing it in practical use, and I found that after a little while (and with no change to anything on my part), my onend event started firing constantly. As in, looking at the console, I would see 18,000 requests being made in the space of three seconds, all being instantly denied, thus triggering onend and restarting the request.
I'm aware that it would be optimal to wait for sound before sending a request, or to have local speech recognition capabilities without the need for a remote server, but the present API does not allow that.
Are my suspicions correct? Am I getting request limited?
Are my suspicions correct? Am I getting request limited?
Yes
I'm aware that it would be optimal to wait for sound before sending a request, or to have local speech recognition capabilities without the need for a remote server, but the present API does not allow that.
To hide the IP source of your request you can use anonymizer networks like Tor, though it will not be fast.
It's naive to assume Google will spend resources to process all audio being recorded on your system. In your application development it is better to rely on API which provides at least some guarantees. It could be either commercial API or open source implementation like CMUSphinx.
With CMUSphinx, you can also properly implement command keyword detection and increase accuracy by specifying the grammar of the commands.
You could also use a Voice Activity Detection (VAD) algorithm to detect when a user is talking. This can be done by either setting a volume threshold or a frequency threshold (Human speech is usually less than 400hz for example). This way, you won't send useless requests to Google unless those conditions are meant. I would not recommend using Tor as this would significantly increase latency. CMUSphinx is probably the best local system option, but if still want to use a web-based service, I would recommend either using a Voice Activity Detection algorithm or finding a different web-based software.
I am building a small cards game for Windows Store using HTML/JS as my programming languages. One of the features that I would like to add is multiplayer capability. My game it's based on a 1 versus 1 player (unlike Hearts where you need 4 players), so an ad-hoc peer-to-peer connection is enough. Also, keep in mind that I am only considering local network multiplayer, without internet support (meaning that "privateNetworkClientServer" capability is required on that app manifest).
So I am imagining, when a player want to start a multiplayer game, the app will periodically broadcast a message to find any candidates. Meanwhile he will also have to listen for those same messages (in case of another player is broadcasting them also). When they find which other we transmit the game state back and forward to perform the required games changes.
My question is, does WinRT provide any functionality out of the box to do something like this? If no, do you have any suggestion for my problem?
Thanks
Look at the documentation for the PeerFinder class. Proximity can use either NFC or by browsing on the same subnet. Note, in the case of WiFi, not all WiFI cards support the browsing model, so some older PCs may not be able to use this solution.
The proximity sample application on msdn should help you with this.