Metaspectral, Armada Partner on Hyperspectral AI Analysis

VANCOUVER, British Columbia, June 6, 2024 — Metaspectral, a developer of computer vision technology for spectral analysis, is partnering with Armada, an edge computing company, to integrate Metaspectral’s computer vision capabilities into Armada’s Edge AI Marketplace.

Through Armada’s edge AI marketplace, Metaspectral said that its data compression algorithms can enable real-time analysis and transmission from satellite and terrestrial sources without compromising image quality.

“Through this partnership, we can bring real-time AI analysis of hyperspectral imagery to remote areas by leveraging Armada’s physical data processing and connectivity infrastructure capabilities,” said Francis Doumet, CEO and co-founder of Metaspectral.

Armada offers mobile, self-contained data centers called Galleons that can be rapidly deployed to provide real-time data processing. The computing company also offers a software platform called Commander, which serves as the single portal for observability and management of all edge operations. Armada has an existing partnership with satellite internet company Starlink to bring high-bandwidth edge-computing and satellite internet connectivity to remote environments, including oil rigs, mines, and remote combat zones.

“Hyperspectral imagery can be used in the oil and gas sector to detect pipeline leaks, monitor vegetation health, and identify hydrocarbon reservoirs. Similarly, mining companies can use it for mineral identification, prospecting support, and monitoring environmental impacts such as soil erosion, vegetation health, and water quality,” said Migel Tissera, CTO and co-founder of Metaspectral. “Hyperspectral imagery also has extensive military applications, including surveillance, detection, and identification of hidden objects, terrain assessment, and more.”

About Metaspectral

Published: June 2024

Glossary

hyperspectral imaging: Hyperspectral imaging is an advanced imaging technique that captures and processes information from across the electromagnetic spectrum. Unlike traditional imaging systems that record only a few spectral bands (such as red, green, and blue in visible light), hyperspectral imaging collects data in numerous contiguous bands, covering a wide range of wavelengths. This extended spectral coverage enables detailed analysis and characterization of materials based on their spectral signatures. Key...
computer vision: Computer vision enables computers to interpret and make decisions based on visual data, such as images and videos. It involves the development of algorithms, techniques, and systems that enable machines to gain an understanding of the visual world, similar to how humans perceive and interpret visual information. Key aspects and tasks within computer vision include: Image recognition: Identifying and categorizing objects, scenes, or patterns within images. This involves training...
machine vision: Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...

Browse Cameras & Imaging, Lasers, Optical Components, Test & Measurement, and more.