With the effects of climate change potentially reducing the world’s available arable land and a growing global population to feed, the agriculture industry must find ways to maximise output and optimise resource use.
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. HSI data helps farmers assess the quality and maturity of their crops, accurately estimate yield, and limit the impact of disease, pests, and other potential stress factors.
Hyperspectral imaging can provide non-destructive, real-time monitoring that goes beyond the outer layers of the plant to reveal critical metrics related to crop health and growth.
Hyperspectral data empowers farmers to make smart, data-driven decisions in order to optimise resource utilisation and enhance output.
Reduce food waste
Better estimates for yield and product shelf life to optimise distribution and reduce food waste.
Sensing at Range and National Security
Hyperspectral Imaging transforms computer vision capabilities for a range of use cases, including National Security. With hyperspectral sensors, autonomous systems can detect and monitor objects in an image based on more than just colour and shape.
HSI identifies spectral signatures in the emitted light of everything within the image, offering information on a range of properties, including material and temperature.
Identify objects and segment images based on spectral information rather than only colour and shape.
Tag and track objects
Use unique spectral signatures or tags to find and/or track objects of interest in real time and improve confidence at time of object reacquisition.
Intelligence, Surveillance, and Reconnaissance (ISR)
A range of potential homeland security and defence use cases for surveillance and reconnaissance.
HSI offers a non-invasive tool with diagnostic and surgical applications. HSI can image human tissue, returning a number of key properties without the need for ionising radiation (e.g., X-ray or CT), large equipment (e.g., MRI), or the use of dyes to help differentiate between similarly coloured tissues.
This has the potential to enhance diagnostics across ophthalmology, dermatology, skin cancer, peripheral vascular disease, burn classification, and even potentially detect the early signs of Alzheimer’s. HSI also has applications in precision surgery, for example differentiating between healthy and cancerous tissue to ensure the entirety of a tumour is removed.
Distinguish between different types of tissue based on their spectral signatures, including tumours vs healthy tissue or well-perfused vs not well-perfused tissue (whether they are receiving adequate circulation).
Improve diagnostic accuracy
A relatively cheap and simple method of improving diagnostics accuracy, i.e., reducing false positives and negatives.
Save valuable time
Better triaging through improved dermoscopy accuracy, such that specialist healthcare professionals can spend more time with the patients who need treatment and less time with false positives.
Quantify the true colour of your products with hyperspectral imaging. Release products knowing how they will look in any lighting condition. Remove uncertainty and guesswork from your workflow, ensuring color consistency and quality control.
Hyperspectral colourimetry objectively measures colour, eliminating subjective opinions to determine an object's true colour. This precise approach has wide applications in industries like fashion, textiles, paint, and automotive, ensuring accurate colour representation and quality in these fields.
Differentiate visually identical objects. It's much harder to fool hyperspectral cameras than the human eye.
A solution for retail colour matching, ensuring purchased items go together even if they are manufactured in different locations or using different raw materials, reducing the number of costly returns.
Prove the origin of substances used in textile production, including identifying chemicals used during manufacture to ensure the quality of products received and prevent the use of banned substances.
Spot otherwise invisible problems before it’s too late
Differentiate between objects that are visually identical using the naked eye or traditional cameras
Separate objects no matter the conditions, cut through glare and shadows, and differentiate between the background, foreground, and camera noise
Follow moving objects more accurately using hyperspectral information invisible to human eyes and RGB systems