INFINICAM
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INFINICAM is a high-speed streaming camera capable of capturing and transferring 1.2-megapixel of image data to PC memory at 1,000fps via USB 3.1. The latest version of the SDK supports Python, a common language in the computer vision/machine vision field, in addition to C++. This makes real-time image processing with INFINICAM possible with easy intuitive programming. INIFINICAM is also compatible with StreamPix and TroublePix Software from Norpix to provide a comprehensive off-the-shelf high-speed camera solution. Product Features High-speed image processing made simple High-speed image processing previously required a dedicated board and complex cabling, but now can be implemented with a single general-purpose USB 3.1 Type C cable and a PC. Real-time high-speed image compression Real-time compression to less than 1/4 the original data volume enables highspeed 1.2-megapixel image streaming at 1,000fps and up to 30,000fps at 1,246 x 16 pixels. Data capture with just four lines of programming Example: Initializing the camera and capturing a single image. cam = CameraFactory ().create() decoder = cam.decoder() xferData = cam.grab() img = decoder.decode(xferData) Python is now supported, making programming easier and more intuitive. Utilizing Python script, the camera may be controlled with as few as four lines of code. For example, image acquisition can be coded, as shown in the image to the left, for quick implementation. Compact, Lightweight, C-mount The compact and lightweight housing, (55mm x 55mm x 55mm, 280g), makes it easy to install. The C-mount lens compatibility allows for the use of a wide range of lenses. Open development environment The latest SDKs, development environment, and manuals can be downloaded from: www.photron.com Sample applications can be accessed at GitHub. 1,000fps real-time image processing A published sample application can be seen in the example to the left. Here you can see the capture of the LED lights of a smartphone and the calculated output, along with XY coordinate values in real-time. The sample app comes with source code (C++ and Python).

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