When it comes to the topic of imaging and machine vision you usually think of
cameras first and perceive their impact on the performance of an imaging
system as a decisive factor. However, it is often overlooked that even the
most powerful camera can only deliver useful images when using the right
illumination and the optimal lens. The selection of the appropriate illumination and optical components is a crucial determinant for image quality and
influences important factors such as speed, measuring accuracy, repeatability
and reliability of the subsequent image evaluation. This article provides an
overview of the optical basics in imaging systems.
This tech tip is an overview of how imaging deals with colour; it is split in
to two sections, sensor configurations looking at three methods of acquiring
colour data, and data rates how different setups affect data rate, and how to
STEMMER IMAGING’s CVB Polimago image recognition tool provides a comparatively simple and low cost solution as an alternative to Deep Learning tools for challenging machine vision search and classification tasks. Fewer training images, shorter training times and faster execution times on a CPU platform combine to avoid some of the drawbacks associated with the convolutional neural network (CNN) approach offered by deep learning. In CVB 2019, Polimago will also be available for embedded applications.
Many industrial inspection applications such as flat panel display inspection,
PCB inspection and document scanning require ultra high resolution imaging to
allow the required level of detail to be produced in the image.
Learn about the 'behind the scenes' products that actually make vision systems
work. These are the practical accessories that solve real-world problems.
These are often low-cost compared to other vision hardware and can aid
integration and avoid the need to 'reinvent the wheel' for common
GigE Vision™ Server (GEV Server) allows any Common Vision Blox (CVB)
acquisition source such as a frame grabber, USB camera or image from memory or
disk to be presented as a GigE Vision compliant image stream.