Living Optics Software Solution
Turn Hyperspectral Data into Answers – Effortlessly!
The Living Optics Software Platform is a powerful and intuitive toolset designed for data analysts, computer vision developers, and researchers, who wish to transform how they interact with hyperspectral data in the field or in the lab.
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Explore. Annotate. Analyse. No Code Required
Open and explore hyperspectral data files directly in your browser using our Cloud-based Camera Tool.
Leverage existing third-party hyperspectral datasets and bring them into the Living Optics workflow for powerful insights.
Our new Data Exploration and Analysis Tools are plug-and-play —
no coding skills required. Just define what insights you’re after, and start exploring your data intuitively.
Run advanced spectral analysis and frame-by-frame annotation directly on your NVIDIA Jetson AGX Orin.
At the Edge or in the Cloud –
One Platform, Full Vision
The Platform sets a new standard for real-time, on device hyperspectral insight. It includes cloud-based access to replay and inspect Living Optics camera files, seamless integration of third-party hyperspectral data through our converter, and a new Data Exploration Tool for frame-by-frame spectral analysis and annotation on the NVIDIA Jetson AGX Orin platform.
Hyperspectral imaging
for everyday use
Living Optics hyperspectral imaging solutions are affordable and easy to use. Our vision is to seamlessly integrate hyperspectral imaging into the fabric of life.
Food & Agriculture
Hyperspectral imaging offers farmers the data they need to better understand how their crops are growing as well as the impact of environmental factors such as soil quality and resource utilisation
Healthcare
Distinguish between different types of tissue based on their spectral signatures, improve accuracy of diagnosis and save valuable time
Industry
Use snapshot hyperspectral imaging camera in industrial environments, enabling real-time, high-precision analysis for automated sorting, packaging inspection, quality control, and robotic integration.
Security & Sensing at Range
Use spectral data to identify and follow objects, overcome challenges posed by shadows and obstructions
