AMG Systems Ltd was formed in 1990 to provide high quality solutions for the transmission of video, audio and data signals over optical fibre. The Directors and R&D team provide a wealth of experience in the design and development of top quality, high reliability, opto-electronic systems. This expertise has been exploited to produce the most comprehensive and innovative range of video, audio and data transmission products available in the market today.
AMG can also provide turnkey systems through our network of approved installers and partners. The list of clients range from the world's major system integrators and national government organisations through to small installation companies.
AMG maintains a position as the world's leading provider of professional fibre optic transmission equipment specifically designed for CCTV surveillance and transportation applications. The innovations embedded in the products allows for a reduction in the overall systems costs and provide greater system functionality. AMG equipment is used in a variety of applications throughout the world.
The TheiaVu™ Series is a range of benchtop inspection systems that allow the user to take a wide variety of measurements, and to record repeatable, reliable data to improve processes.
KLA’s Filmetrics F40 allows you to transform your benchtop microscope into an instrument to measure thickness and refractive index.
This product profile describes the properties and applications of the ProMetric® I-SC Solution Imaging Colorimeter.
Dr. David Dung
We spoke with University of Bonn spin-off Midel Photonics, a start-up company whose laser beam shaping technology is hoping to sharpen up the laser industry.
Matthias Sachsenhauser, Ph.D.
Following Laser World of Photonics 2022, we spoke with Matthias Sachsenhauser from Hamamatsu Photonics about the role of laser-driven light sources in the future of the photonics sector.
Dr. Keith Paulsen
AZoOptics speaks to Dr. Keith Paulsen about the importance of breast cancer detection and the introduction of his team's deep-learning algorithm that associates spatial images of tissue optical properties with optical signal patterns measured during an imaging experiment or patient exam.