
As if XIMEA weren’t effective enough in the USB3.0 market, they have now developed with unprecedented tempo two new cameras. These represent ‘a first’ in the Machine Vision market place as they offer fast data handling and control interface at impressive bandwidths without the need of frame grabbers. The data is streaming directly through
Thunderbolt™ cable which can reach distances up to 60m when the fibre option is utilised.
First model
MT200 is based on the very popular
20 Mpix sensors from CMOSIS called CMV20000. Full resolution of this CMOS sensor with Global Shutter can be utilized at
30 frames per second in the
12 bit mode thanks to
20Gbit/s. The camera itself is further enhanced with the active EF-mount interface for control of dynamic aperture and focus. Use of the Falcon Ridge 4C makes daisy chain interconnection not just possible but practical.
Presenting a second model, XIMEA proffers the
MT023. Integrated within this model is the new Sony’s CMOS sensor – IMX174 featuring
Pregius™ technology. In doing so, delivering outstanding imaging performance. With the help of 10Gbit/s throughput it is the only camera in the world that is capable of delivering full sensor resolution of 2.3 Mpix at 12bit/pix 128fps, or 10bit/pix @165fps. The camera design features compact and robust housing of only
26x26x38mm and can be bus powered removing the necessity of additional power cables or adapters.
Excessively tested for their compliance to the highest standards, Thunderbolt™ cables from XIMEA are equipped with thumbscrews for a stable transfer. This makes the delivery of image data secure and seamless enabling storage directly to the PC memory. Here they are immediately available for processing and encoding by CPU +/- GPU. To provide users the ability to synchronise with external equipment/cameras both models are equipped with opto-isolated inputs and outputs. These are both compact and robust within the camera body with industrial connectors.
If you have further questions regarding the XIMEA range please contact our
Machine Vision team on
01582 764334 or
click to email.