UVC is an online organizer and IM suite. UVC centralizes all data so that shared calendars and tasks are possible between users. You can also use the audio/video module to have group chats with your friends or co-workers.
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Hey there, I'm afraid that USB cameras are not supported on the ARM platform at the moment, so your UVC camera is not expected to work when connected to your Lumia 950. I'd be curious to learn about the scenario you're thinking about for this case.
The Lumia 950 has two built-in cameras that you can access using the DeviceInformation APIs, and should support all the controls that your UVC camera supports. For reference, if you have other questions related to developing UWP apps, our might be a more suitable venue for your issues. HI Mike, thanks for the reply.
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We are building a product ( a measurement tool) that uses a camera to do a data matrix barcode scan (imaging a scope used in medical device). So we plan to write an app with Windows 10 universal platform so that it can be deployed on all devices (PC, phone, IoT device) for different product lines we have. The app is working fine on a windows 10 desktop with a UVC camera, but blocked by this issue on the phone. And we are going to evaluate it on a IoT device such as Rasberry pi 3. I have seen this IoT project - Facial recognition door, that uses a common USB camera.
So I am wondering why UVC camera is not support on the windows 10 mobile? Is there something we could do to get around this? Is there a plan to support in the near future? Is there a reason why you don't want to / cannot use the cameras on the 950 itself?
They will likely deliver higher image quality than you'll see from most USB cameras on the market today. Is it perhaps because your measurement tool includes a USB camera as part of the kit?
It seems like I don't entirely understand your scenario just yet, sorry!:) If you intend to deploy your UWP to a Raspberry Pi 3, I recommend you refer to to see what cameras are supported, and to what extent. Do you have a specific piece of camera hardware in mind? There are challenges with processing large buffers at a high framerate on such limited hardware, so you may se degraded performance (e.g. low frame rate) depending on things such as the image resolution, the media types/formats supported natively by the device, or even if you're running the system in the native (landscape) more vs. Portrait mode.
I recommend you prototype your application using one of our camera samples (for example the ) to assess performance, and let me know what your experience is. At the moment, I'm not aware of any current or short-term plans to support UVC cameras on Windows 10 Mobile.
But, in order for us to best evaluate what investments to make in this area for a future release, feel free to share more information on your desired application of the technology with me, and I'll pass it along for consideration. Hi Mike, we don't need high resolution in this case, 320.240 grayscale is good enough to read a 14X14 data matrix barcode image.
The problem of using the cameras on the 950 itself is we then have to design the tool mechanically fit to the camera on device, it is not ideal. And also it limits us from changing one phone to the other. If we could use an external USB camera (UVC, i.e. No driver is needed), we could possibly use any phone with USB host. I am glad to share more information with you if you could share you email or phone no. I will be able to explain more details in a private channel.
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Thanks for your help anyway! Mike, I tried with my uvc cameras with Rasberry pi 3, all of them are connected and detected by windows 10 IoT core. Some of them can be previewed just fine with capture element, but others are showing a green screen in the capture element. Do you know what might be the cause of the green screen? In addition, t here are a lot of low cost miniature and specialized cameras available now for industrial, medical and surveillance applications. Common industrial cameras include borescopes used for inspection of inaccessible parts such as automotive and aerospace engine internal components, cylinder bores, pipelines, rifle bores, etc.
Medical applications include various endoscope cameras for ear, nose, throat, etc. Recently more of these cameras have become available with USB/UVC interfaces without drivers for use with Phones such as Android vs. I am surprised that Microsoft has neglected this opportunity, particularly the high-end medical market, with what it is promoting as a 'Universal OS' when it is supported on its PC and IOT platforms. Anyway if there are no plans to support UVC on Windows 10 Mobile, do you provide support for partners developing drivers? Hi Yan, Thanks for the update.
Let me preface my post by saying that IoT isn't my area, so take this with an appropriate amount of salt, hehe. As far as I understand it, the Raspberry Pi doesn't offer hardware-accelerated decoding for video formats, which means this process needs to run in software. If you recall the documentation page I linked to earlier which warns about lower frame rates on some device; I believe this software conversion is the reason. That being said, there should be some cameras that offer formats that are faster to decode, and performance on these should be acceptable.
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Because of that, we wanted to allow the tinkering community to start playing around with cameras, so support for USB cameras was enabled in IoT as an experimental feature. Support for this is limited at the moment, but you may be able to find devices that work well for your use case. The scenario you're telling me about does sound pretty cool, so I will take your feedback and pass it into our future planning iteration.:).