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Vision Systems Questions
I am working on outdoor system for detecting fast moving objects. I need an inexpensive solution - 4 cameras shooting @ ~40 fps, 2MP, GIGE, frame level synchronization - in this case minimum 25 ms accuracy (1/40). I need roughly about 100 degrees H viewing angle per camera. The idea is to detect the objects and recreate their positions in X-Y-Z. Does anyone have any idea about the hardware setup? Its really tricky to find the right combination between sensor and optics to achieve the desired FOV at reasonable price (camera + housing + lenses should not be more than 500-600 USD). Another thing is the the synchronization, I want it to be as simple as possible, no additional trigger boxes and cables, so the sync must be done via PTP. The problem is not many cameras support PTP which makes the choice even harder or impossible.
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Hi Ivan, thanks for posting. Here is some info I think you'll find helpful. Basler has a white paper about synchronous capture using their cameras: http://s.baslerweb.com/media/documents/BAS1601_White_Paper_Multi_Camera_applications_EN.pdf I recommend the new Basler acA1920-40gm camera. Great for outdoors, given 73 db dynamic range and 70% quantum efficiency. Great value, and not too far from your goal. Note dynamic range comes in part from the camera's large pixels, which requires a higher cost 1" lens unless you can reduce resolution (AOI) to, say, 1440 x 1200. See https://machinevisionstore.com/Catalog/Details/1540. Regarding field of view, there is a lens calculator for this specific camera here: https://machinevisionstore.com/design/EntrocentricCalculator?cameraProductId=1540 Good luck with your project.
Hello Ivan, We might be able to assist you. We have worked with a company using vision cameras to look at wood in an outdoor environment. Please see the attached article. http://smartvisionlights.com/applications/measuring-the-od-hardwood-logs If you would like further assistance with your application, please feel free to contact Casey Segraves email@example.com or myself. Thank you, Dave Spaulding