IDS NXT vegas is the first product of the new device family. With an integrated 1.3 MP CMOS sensor, an integrated liquid lens, autofocus, LED illumination and a ToF sensor (Time of Flight) for distance measurement, it is fully equipped for many different image processing tasks. Users benefit from the greatest possible flexibility: they can assign their required image processing task to vision app-based cameras and sensors according to their individual demand.
The flexible Ensenso X 3D GigE camera system is now available with 5 MP cameras featuring Sony's IMX264 CMOS sensor. They provide up to 20 percent wider field of view and up to 35% greater lateral resolution with almost 30% lower noise compared to the earlier versions. With the new Ensenso SDK 2.2, stereo matching can now be supported by a graphics card. Using the GPU accelerates the processing processes by about five times, depending on the parameterisation. GPU-based stereo matching and the resulting speed advantages can be used with all Ensenso X cameras.
At the Conference, Peter Dietrich will be making presentations entitled: '3D Vision – complementing 2D rather than replacing' and 'Camera sensitivity – compare and contrast'. The first looks at how 3D data can be combined with 2D information to provide a more effective system when considering challenges like localisation and verification. The second considers the issue of camera sensitivity and how standard committees such as EMVA and ISO try to help sort things out by defining procedures for measuring several key performance parameters of a camera or camera system, respectively.
UK productivity hindered by digital skills deficit – report
This is a bit of a nebulous subject. There are several sub-disciplines of 'digital skills' which all need different approaches. ...