A proposal to break the speed ceiling of GigE Vision in a standardised and reliable way to meet the next generation of sensor sizes and speeds.
Resources
This White Paper details why data is the core of any deep learning-based application, and that the tools for managing data and working with the deep learning algorithm are paramount to obtaining good results.
This white paper presents a first-ever automated approach to digitalize spectral properties found on forensic trace carriers. By using high-performance Excelitas lenses and AI-driven software the few deviating traces on a trace carrier can be identified which can be decisive to solve a crime.
In this webinar, the latest high-speed GigE products were discussed - moving to 25GigE and beyond - and how the user can best take advantage of this technology
Liquid lenses are arguably among the most interesting technological innovations in the field of optics and have also attracted a lot of attention in machine vision. In this white paper, we will discuss how Opto Engineering integrates liquid lenses into different types of optics to give them particular characteristics.
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Latest issue
Advances in sensors that capture images like real eyes, plus in the software and hardware to process them, are bringing a paradigm shift in imaging, finds Andrei Mihai
A new automated approach is helping engineers in vision technology and forensics to identify rare traces, which can be essential in solving a crime
Integrating AI and augmented reality into imaging and machine vision for automated inspection tasks paves the way for faster, more efficient manufacturing, finds Abigail Williams
Camera and AI-equipped agricultural robots that can till, weed, pollinate and harvest are revolutionising farming, discovers Benjamin Skuse
Optical accelerators are enabling a new generation of powerful hyperspectral cameras, writes Professor Andrea Fratalocchi, of KAUST and Pixeltra
Imec’s Wouter Charle on how compact hyperspectral imaging cameras have huge potential once integrated into stringent clinical workflows