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Impact of Wavelength on Spectroscopic Measurements

Exploring the role of wavelength in spectroscopy and how it influences the accuracy and precision of spectral analysis.

Characterising Gases Using Raman Spectroscopic Techniques

From IS-Instruments, Ltd. Dec 6 2022 Raman spectroscopy is long established as a non-destructive chemical analysis technique capable of providing detailed compositional information.

ORC and Pointcloud develop chip lidar to improve machine vision…

ORC and Pointcloud develop chip lidar to improve machine vision… 17 Feb 2021 …while Teledyne Imaging launches LACera, CMOS-based imaging technology for discovery applications. Accurate imaging is essential for machines to map and interact with the physical world but the size and costs of the technology currently needed has limited LIDAR’s use in commercial applications. Now a team of researchers from Pointcloud Inc., in San Francisco, CA, US, and the Optoelectronic Research Centre (ORC), at University of Southampton, UK, have developed a new, integrated system, which uses silicon photonic components and CMOS electronic circuits in the same microchip. The prototype they have developed would be a low-cost solution and could pave the way to large volume production of low-cost, compact and high-performance 3D imaging cameras for use in robotics, autonomous navigation systems, mapping of building sites to increase safety and in healthcare.

Silicon Chip Provides Low Cost Solution to Help Machines See the World Clearly

Silicon Chip Provides Low Cost Solution to Help Machines See the World Clearly Written by AZoOpticsFeb 10 2021 Researchers in Southampton and San Francisco have developed the first compact 3D LiDAR imaging system that can match and exceed the performance and accuracy of most advanced, mechanical systems currently used. Basketball and screen at 17 m - picture taken using a 32 x 16 pixel sensor (2 mm x 2.5 mm sensor size). Image Credit: Pointcloud Inc. 3D LiDAR can provide accurate imaging and mapping for many applications; it is the eyes for self-driving cars and is used in facial recognition software and by autonomous robots and drones. Accurate imaging is essential for machines to map and interact with the physical world but the size and costs of the technology currently needed has limited LIDAR’s use in commercial applications.

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