Resources
Technical validation, benchmark studies, platform workflows, company updates, and educational resources from our engineering and data science teams.
Seeing beyond the bands
Where hyperspectral analysis diverges from multispectral — and what that divergence reveals about a crop. Measured on real scenes.
Automated Classification of Waste Wood Composites: An Evaluation of Hyperspectral Imaging and Deep Learning Pipelines
New collaborative research between UBC and Metaspectral evaluates near-infrared hyperspectral imaging and deep learning pipelines for automated classification of post-consumer waste wood composites, achieving up to 100% accuracy under controlled conditions and 91.2% on real landfill material.
A Comprehensive Introduction to Hyperspectral Data: Unveiling the Unseen (Part I)
As we continue to push the boundaries of technology and innovation, we often find ourselves exploring realms beyond the visible, diving deep into the world of the unseen. Today, we embark on a captivating journey to understand a fascinating subject that is transforming our perception of the world: Hyperspectral Data. This post marks the beginning of a comprehensive 5-part series where we will dissect, understand, and appreciate the intricacies of this remarkable technology.
How Hyperspectral Imaging is Revolutionizing Industrial Recycling
In a world where sustainability is becoming increasingly important, industrial recycling facilities are a powerful way to reduce waste and turn it into something useful. But how can we ensure that the materials being recycled are sorted accurately and efficiently? Hyperspectral imaging offers a powerful solution in situations where conventional computer vision based systems fail.
Rust Detection with Hyperspectral Imaging
Rust is a major problem for naval vessels because it causes structural damage and can lead to leaks. Because of this, detecting rust early is crucial for naval maintenance. However, traditional methods of rust detection, such as close visual inspection, are time-consuming and often ineffective.
Imagining the Possibilities: Hyperspectral Imaging in Agriculture
Hyperspectral imaging is a remote sensing technology that can be used to collect data about the physical and chemical properties of an object, scene, or area. In the past, hyperspectral imaging systems were too large, too expensive, and required too much power to be practical for use in agriculture. However, recent advances in technology have made hyperspectral imaging more affordable and accessible than ever before. Farmers can now use hyperspectral imaging to collect detailed information about their crops, soil, and water resources.
What is hyperspectral imaging and why does it matter?
If you’ve ever wondered how those jaw-dropping images of galaxies or nebulae are captured, the answer lies in hyperspectral imaging. This powerful tool allows us to see things that our eyes cannot, and it has a range of applications in both the scientific and commercial realms. Let’s take a closer look at hyperspectral imaging and how it works.
Benefits of Hyperspectral Data Analysis for Plastic Recycling
As the recycling industry looks for ways to become more efficient and effective, many operators are turning to hyperspectral data analysis as a solution. Hyperspectral data analysis is a form of spectroscopy that can identify the chemical properties of objects. This information can then be used to sort and recycle materials more effectively.