Living Optics is a United Kingdom-based deep tech company specializing in
hyperspectral imaging technology. The company develops advanced camera systems
and software that capture rich spectral data alongside conventional video
imagery, enabling machines and systems to perceive and understand the world
in far greater detail than standard cameras allow. By combining spectral
sensing with real-time video, Living Optics aims to unlock new capabilities
across industries ranging from agriculture and manufacturing to robotics,
security, and scientific research.
Spun out of research aimed at making hyperspectral imaging accessible and
practical, Living Optics addresses a longstanding challenge in the field:
traditional hyperspectral systems have historically been expensive, slow,
bulky, and difficult to deploy outside laboratory settings. Living Optics
seeks to change this by offering compact, affordable, and developer-friendly
hyperspectral hardware paired with a robust software ecosystem.
What the Company Does
At its core, Living Optics builds hyperspectral cameras that capture both
spatial and spectral information simultaneously. Whereas a conventional camera
records color in just three broad bands (red, green, and blue), a hyperspectral
camera captures light across many narrow, contiguous spectral bands. This
detailed spectral fingerprint allows users to identify materials, detect subtle
differences invisible to the human eye, and analyze the composition of objects
and scenes.
Living Optics' approach focuses on making this technology usable in real-world,
dynamic environments. Their systems deliver hyperspectral data at video frame
rates, which is a significant advantage over many legacy hyperspectral
instruments that require slow scanning processes. This real-time capability
opens up applications where movement, speed, and immediate decision-making are
essential.
The company positions itself not only as a hardware manufacturer but as a
platform provider. It supplies the tools, software development kits, and
documentation needed for developers, researchers, and engineers to build their
own applications on top of the hyperspectral data the cameras produce. This
developer-centric model is designed to accelerate innovation and adoption of
spectral imaging across many sectors.
Core Technology
Living Optics' technology combines a spectral sensing element with a standard
imaging sensor, allowing the capture of a spectral information layer overlaid
onto conventional imagery. The result is a data stream that contains both a
familiar RGB-style video image and a wealth of spectral measurements sampled
across the scene.
Key technical characteristics of the company's approach include:
- Real-time hyperspectral capture at video frame rates rather than slow,
scan-based acquisition.
- A compact and comparatively lightweight form factor suitable for integration
into portable, mobile, and embedded systems.
- Cost efficiency intended to bring hyperspectral imaging within reach of a
much wider range of users and applications.
- A rich spectral resolution across the visible and near-infrared range,
enabling detailed material discrimination and analysis.
By reducing the barriers of cost, size, and complexity, Living Optics aims to
democratize access to a technology that was previously confined to specialized
laboratories, satellites, and high-end industrial systems.
Products
Hyperspectral Camera
The flagship offering from Living Optics is its hyperspectral camera system.
This device captures spatial and spectral data together, producing high-quality
imagery enriched with spectral information for each measured point in the scene.
The camera is designed for developers and researchers who want to experiment
with, prototype, and deploy hyperspectral applications without the traditional
overhead associated with such systems. Its real-time performance makes it
suitable for use in scenarios involving motion and changing conditions.
Software Development Kit (SDK)
Alongside the hardware, Living Optics provides a software development kit that
allows users to access, process, and analyze the data their cameras generate.
The SDK is intended to give developers programmatic control over the camera and
its output, enabling them to build custom pipelines, integrate the data into
their own applications, and apply analysis techniques including machine learning
and classification models to the spectral data.
Developer Tools and Documentation
Living Optics supports its hardware and SDK with a suite of developer resources,
including documentation, tutorials, and example workflows. These materials help
users get started quickly, understand how to interpret spectral data, and build
practical applications. The emphasis on developer enablement reflects the
company's strategy of fostering an ecosystem around its technology.
Cloud and Analysis Capabilities
The company also focuses on tools that help users manage and make sense of the
large volumes of data that hyperspectral imaging produces. This includes
capabilities for processing, visualizing, and analyzing spectral datasets,
helping users turn raw spectral measurements into actionable insights.
Services and Support
Living Optics offers support to help customers integrate hyperspectral imaging
into their own projects and products. This includes technical assistance,
guidance on application development, and resources that help users understand
how best to apply spectral sensing to their particular use cases. By providing
both the tools and the support to use them, the company aims to lower the
learning curve associated with adopting a sophisticated imaging modality.
Applications and Use Cases
The versatility of hyperspectral imaging means that Living Optics' technology
can be applied across a wide range of industries and research fields. Typical
areas of application include:
- Agriculture and food, where spectral data can assess crop health, detect
disease, monitor ripeness, and support quality control and sorting.
- Manufacturing and industrial inspection, where spectral analysis can identify
defects, verify materials, and ensure product consistency.
- Robotics and automation, where enhanced perception allows machines to
distinguish materials and make more informed decisions.
- Environmental monitoring and research, where spectral imaging supports the
study of vegetation, water, and land.
- Security and defense, where the ability to detect subtle spectral differences
can reveal information not visible with conventional cameras.
- Life sciences and medical research, where spectral information can aid in
analysis and diagnostics.
- Recycling and waste sorting, where different materials can be identified and
separated based on their spectral signatures.
Value Proposition
Living Optics differentiates itself through the combination of affordability,
compact form factor, real-time performance, and developer accessibility. Where
hyperspectral imaging was once the domain of highly specialized and costly
equipment, the company's approach aims to place this capability in the hands of
a much broader community of engineers, scientists, and innovators. By providing
an integrated platform of hardware and software, Living Optics enables customers
to focus on building applications and extracting insights rather than wrestling
with the underlying complexity of spectral sensing.
Summary
Living Optics is a UK deep tech company advancing the field of hyperspectral
imaging by making it faster, smaller, more affordable, and easier to use. Its
core products include a real-time hyperspectral camera, a software development
kit, and a supporting ecosystem of developer tools and analysis capabilities.
Through this platform, the company enables machines and people to see beyond
the limits of conventional imaging, capturing rich spectral information that
supports material identification, quality inspection, environmental analysis,
and countless other applications. By focusing on accessibility and developer
enablement, Living Optics seeks to expand the reach of hyperspectral technology
across diverse industries and to drive new innovation built on the power of
spectral vision.