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I would like to embed an Aztec Code reader into my app.
I need control over the GUI to
place some buttons around the camera view, while reading the code
to be able to switch the camera on / off (to save the battery)
What I found was
ZXing - which is not reliable yet.
Apps with an own SDK like neoreader, which do not give me the control over my GUI.
Is there a solution for that problem? Maybe som libs? Proprietary libs?
I found a proprietary lib from manateeworks.com
They do offer a lib, which can be used to decode Aztec Codes
In case anyone is looking for a more up-to-date answer to this question, as I was when I came across this thread a couple of hours ago:
As of Google Play Services 8.4.0 release, Aztec barcodes are supported in the vision.barcode package. So you can now detect them from the camera in the same way as you do for other supported types of barcode.
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I must implement an applcation that draws a heart on a person seen via an Android device camera(augmented reality stuff).
So, I must detect the shape/contour of the upper part of human body(head, neck, shoulders) in order to know where the heart must be situated. This stuff must be made in real time.
I've searched about this stuff but I haven't find something useful. Does anybody know some tutorials or examples of something related to this? Thanks.
I would recommend using OpenCV if the memory isn't a problem ( your app would be like 50 MB). There are plenty of tutorials to learn how to use OpenCV. Try Cascade Classifier
In case of face detection, as far as i know, android has a library for this. Camera.Face
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Could anyone suggest me a good QR code reader to embed this in my app.
I'm searching a library which let me embed the scanner directly in my activity.
And with a good tutorial which explain me how to use it.
Zxing is great, but it's hard to embed into your app - it's developers focused more on making usage of their own app from Play Store easier.
There are some other libraries, which wrap Zxing around. I used this one in my recent project. It's really easy to use. Probably you can find all what you need in readme.
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i am new to android. Now i am working on face recognition android application. Can you please suggest me the best sdk which is open source and doesn't have any legal issues if it is used as an open source. I request your suggestions & support. Thanks one and all.
For face recognition on android try to use OpenCV SDk.
OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. The library contains algorithms that can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, and etc.
Follow the given instructions in this link: http://opencv.org/platforms/android.html.
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I want to do video compression.
Actually in my application I want to have two options, one is low and another is high. If I choose the low option then the application will compress the video and then upload it. If I choose high then it will upload the original video which I have recorded itself.
I want to do this thing in my application and I'm confused. I have searched google a lot but I'm not able to find the useful way to solve this question please if anyone can help me out.
I used ffmpeg4android,
And was able to achieve this in about 10min using only java,
Note that its a commercial library.
Yes in android you can us ffmpeg4android for compress video it's native library
Please check this link
ffmpeg4android Code
Install the Android NDK First to Use it
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I'm interested in developing an android app that makes use of an OpenCV android port at http://code.google.com/p/android-opencv/. Particularly, I want to use SURF features which comes embedded in the OpenCV framework but I'm not sure if then I will be able to sell this app.
Anyway, is there any non-free app making use of any of the OpenCV android ports?
SURF is a patented algorithm. You need permissions to use it in commercial applications. SURF comes with OpenCV because there its being used for "academic" or "research" purposes, without any commercialization involved.
Read the license files of the particular port you are using.
The two different ports I googled and looked at in the past two minutes seem quite clear.