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Future vision: event imaging; multi-shot lighting; MTF for lens selection
This webcast will cover innovations in camera, lighting, and lens technology. An event-based camera will be presented, which takes a different imaging approach to traditional frame-based sensors, in that the sensor only activates if it detects a change in the scene. There will also be presentations on the advantages of multi-shot illumination, and how Modulation Transfer Functions of lenses can help vision system designers find optics with the best cost-to-performance ratio.
Speakers
Matthias Dingjan Product Manager, CCS Europe
Machine vision illumination solutions for multi-shot imaging A multi-shot imaging approach acquires a sequence of images, each having different lighting or optical configurations. Data can be extracted from each image and combined to create an output image that contains details that are most relevant to the particular application. In this way, computational imaging offers powerful advantages over traditional one-shot imaging, and can improve the capability of a camera or introduce new features not previously possible. Many new imaging solutions are now possible, such as providing increased contrast, high resolution low-noise colour, multispectral features, extended depth of field, segmented 3D information, and combinational illumination.
Dr Nadia Robertini, R&D, Imago Technologies
Carsten Strampe, CEO, Imago Technologies
Event-based vision Imago Technologies will present the latest sensor technology for cameras: event-based sensors. Each pixel decides intelligently whether something has moved and triggers an event. The days of ‘frames per second’ are over – from now on, events are evaluated mathematically in the VisionCam EB. The webcast explains the principle of event-based sensors and the associated VisionCam EB – complete applications can be developed with this new smart camera.
Dr Boris Lange Edmund Optics, Manager Imaging Europe
Advanced lens selection: what MTF curves can and cannot tell you The goal of this presentation is to help vision system designers find the optics with the best cost-to-performance ratio when creating an imaging system. Modulation Transfer Functions (MTF) of imaging lenses are a great tool when comparing the performance of different imaging lenses, but are not easy to understand and there are certain pitfalls one should avoid when looking at these information-dense data sets. Accompanying examples will illustrate the impact of application-specific parameters on MTF performance, such as F/#, working distance and wavelength. Last, it will be demonstrated how MTF data can be used to analyse or derive depth of field requirements.
www.imveurope.com/webcasts IMAGING & MACHINE VISION EUROPE
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