I'm looking to capture an image from my usb webcam in LabVIEW 2018. I've looked at older posts (the one from Lava working with the 'free' portions of V&M Toolkit, another webcam test that hangs my computer when trying to run and a few others). What is the best way to do this in the newer LabVIEWs? All the examples I've seen (none of which run correctly or well) are all from 2011-ish timeframe.
It depends on the task (like, for what you are going to use camera), but you could use NI Vision Acquisition Software - which provides set of functions to access the camera, acquire images and videos and process them (basically, IMAQ drivers is what you need). Or, if you are going to use your camera for some kind of test application (vision inspection) - then you'd better check Vision Builder for Automated Inspection.
Those are the easiest (but not the cheapest) ways to acquire images from the various cameras using LabVIEW.
UPDATE:
License scheme for the software could be found here - Licensing National Instruments Vision Software. Description of each software component is also here - Does My Camera Use NI-IMAQ, NI-IMAQdx or NI-IMAQ I/O?. So in order to use 3rd party USB camera, one need to have NI-IMAQdx, which requires license.
Related
Being a novice I need an advice how to solve the following problem.
Say, with photogrammetry I have obtained a point cloud of the part of my room. Then I upload this point cloud to an android phone and I want it to track its camera pose relatively to this point cloud in real time.
As far as I know there can be problems with different cameras' (simple camera or another phone camera VS my phone camera) intrinsics that can affect the presision of localisation, right?
Actually, it's supposed to be an AR-app, so I've tried existing SDKs - vuforia, wikitude, placenote (haven't tried arcore yet cause my device highly likely won't support it). The problem is they all use their own clouds for their services and I don't want to depend on them. Ideally, it's my own PC where I perform 3d reconstruction and from where my phone downloads a point cloud.
Do I need a SLAM (with IMU fusion) or VIO on my phone, don't I? Are there any ready-to-go implementations within libs like ARtoolKit or, maybe, PCL? Will any existing SLAM catch up a map, reconstructed with other algorithms or should I use one and only SLAM for both mapping and localization?
So, the main question is how to do everything arcore and vuforia does without using third party servers. (I suspect the answer is to device the same underlay which vuforia and other SDKs use to employ all available hardware..)
I just bought a Sony A7 and I am blown away with the incredible pictures it takes, but now I would like to interact and automate the use of this camera using the Sony Remote Camera API. I consider myself a maker and would like to do some fun stuff: add a laser trigger with Arduino, do some computer controlled light painting, and some long-term (on the order of weeks) time-lapse photography. One reason I purchased this Sony camera over other models from famous brands such as Canon, Nikon, or Samsung is because of the ingenious Sony Remote Camera API. However, after reading through the API reference it seems that many of the features cannot be accessed. Is this true? Does anyone know a work around?
Specifically, I am interested in changing a lot of the manual settings that you can change through the menu system on the camera such as ISO, shutter speed, and aperture. I am also interested in taking HDR images in a time-lapse manner and it would be nice to change this setting through the API as well. If anyone knows, why wasn't the API opened up to the whole menu system in the first place?
Finally, if any employee of Sony is reading this I would like to make this plea: PLEASE PLEASE PLEASE keep supporting the Remote Camera API and improve upon an already amazing idea! I think the more control you offer to makers and developers the more popular your cameras will become. I think you could create a cult following if you can manage to capture the imagination of makers across the world and get just one cool project to go viral on the internet. Using http and POST commands is super awesome, because it is OS agnostic and makes communication a breeze. Did I mention that is awesome?! Sony's cameras will nicely integrate themselves into the internet of things.
I think the Remote Camera API strategy is better than the strategies of Sony's competitors. Nikon and Canon have nothing comparable. The closest thing is Samsung gluing Android onto the Galaxy NX, but that is a completely unnecessary cost since most people already own a smart phone; all that needs to exist is a link that allows the camera to talk to the phone, like the Sony API. Sony gets it. Please don't abandon this direction you are taking or the Remote Camera API, because I love where it is heading.
Thanks!
New API features for the Lens Style Cameras DSC-QX100 and DSC-QX10 will be expanded during the spring of 2014. The shutter speed functionality, white balance, ISO settings and more will be included! Check out the official announcement here: https://developer.sony.com/2014/02/24/new-cameras-now-support-camera-remote-api-beta-new-api-features-coming-this-spring-to-selected-cameras/
Thanks a lot for your valuable feedback. Great to hear, that the APIs are used and we are looking forward nice implementations!
Peter
I want to embed a video stream into my web page, which is part of our own cloud based software. The video should be low-latency (like video conferencing), and it would be preferable, but not required, for it to include audio. I am comfortable serving streaming binary data from the server-side, and embedding it into the page using HTML5 video.
What I am not comfortable with is the ability to capture the video data to begin with. The client does not already have a solution in place, and is looking to us for assistance. The video would be routed through our server equipment, and not be an embedded peice that connects directly to the video source.
It is a known quantity for us to use a USB or built-in camera from the computer. What I would like more information is about stand-alone cameras.
Some models of cameras have their own API documentation (example). It would seem from what I am reading that a manufacturer would typically have their own API which they repeat on many or all of their models, and that each manufacturer would be different in their API. However, I have only done surface reading and hope to gain more knowledge from someone who has already researched this, or perhaps even had first hand experience.
Do stand-alone cameras generally include an API? (Wouldn't this is a common requirement, so that security software can use multiple lines of cameras?) Or if not an API, how is the data retrieved from the on-board webserver? Is it usually flash based? Perhaps there is a re-useable video stream I could capture from there? Or is the stream formatting usually diverse?
What would I run into when trying to get the server-side to capture that data?
How does latency on a stand-alone device compare with a USB camera solution?
Do you have tips on picking out a stand-alone camera that would be a good fit for streaming through a server?
I am experienced at using JavaScript (both HTML5 and Node.JS), Perl and Java.
Each camera manufacturer has their own take on this from the point of access points; generally you should be able to ask for a snapshot or a MJPEG stream, but it can vary. Take a look at this entry on CodeProject; it tackles two common methodologies. Here's another one targeted at Foscam specifically.
Get a good NAS, I suggest Synology, check out their long list of supported IP Web Cams. You can connect them with a hub or with a router or whatever you wish. It's not a "computer" as-in "tower", but it does many computer jobs, and it can stay on while your computer is off or away, and do thing like like video feeds, torrents, backups, etc.
I'm not an expert on all the features, so I don't know how to get it to broadcast without recording, but even if it does then at least it's separate. Synology is a popular brand and there are lot of authorized and un-authorized plugins for it. Check them out and see if one suits you.
I tried using "Kinect for Windows" on my Mac. Environment set-up seems to have gone well, but something seems being wrong. When I start some samples such as
OpenNI-Bin-Dev-MacOSX-v1.5.4.0/Samples/Bin/x64-Release/Sample-NiSimpleViewer
or others, the sample application start and seems working quite well at the beginning but after a few seconds (10 to 20 seconds), the move seen in screen of the application halts and never work again. It seems that the application get to be unable to fetch data from Kinect from certain point where some seconds passed.
I don't know whether the libraries or their dependency, or Kinect's hardware itself is going wrong (as for hardware, invisibly broken or something), and I really want to know how to detect which is it.
Could anybody tell me how can I fix the issue please?
My environment is shown below:
Mac OS X v10.7.4 (MacBook Air, core i5 1.6Ghz, 4GB of memory)
Xcode 4.4.1
Kinect for Windows
OpenNI-Bin-Dev-MacOSX-v1.5.4.0
Sensor-Bin-MacOSX-v5.1.2.1
I followed instruction here about libusb: http://openkinect.org/wiki/Getting_Started#Homebrew
and when I try using libfreenect(I know it's separate from OpenNI+SensorKinect), its sample applications say "Number of devices found: 0", which makes no sense to me since I certainly connected my Kinect to MBA...)
Unless you're booting to Windows forget about Kinect for Windows.
Regarding libfreenect and OpenNI in most cases you'll use one or the other, so think of what functionalities you need.
If it's basic RGB+Depth image (and possibly motor and accelerometer ) access libfreenect is your choice.
If you need RGB+Depth image and skeleton tracking and (hand) gestures (but no motor, accelerometer access) use OpenNI. Note that if you use the unstable(dev) versions, you should use Avin's SensorKinect Driver.
Easiest thing to do a nice clean install of OpenNI.
Also, if it helps, you can a creative coding framework like Processing or OpenFrameworks.
For Processing I recommend SimpleOpenNI
For OpenFrameworks you can use ofxKinect which ties to libfreenect or ofxOpenNI. Download the OpenFrameworks packaged on the FutureTheatre Kinect Workshop wiki as it includes both addons and some really nice examples.
When you are connecting the Kinect device to the machine, have you provided external power to it? The device will appear connected to a computer by USB only power but will not be able to tranfer data as it needs the external power supply.
Also what Kinect sensor are you using? If it is a new Kinect device (designed for Windows) they may have a different device signature which may cause the OpenNI drivers to play-up. I'm not a 100% on this one, but I've only ever tried OpenNI with an XBox 360 sensor.
This question relates to the Kaggle/CHALEARN Gesture Recognition challenge.
You are given a large training set of matching RGB and Depth videos that were recorded from a Kinect. I would like to use the Kinect SDK's skeletal tracking on these videos, but after a bunch of searching, I haven't found a conclusive answer to whether or not this can be done.
Is it possible to use the Kinect SDK with previously recorded Kinect video, and if so, how? thanks for the help.
It is not a feature within the SDK itself, however you can use something like the Kinect Toolbox OSS project (http://kinecttoolbox.codeplex.com/) which provides Skeleton record and replace functionality (so you don't need to stand in front of your Kinect each time). You do however still need a Kinect plugged in to your machine to use the runtime.