Voltrium Systems is proud to represent Resonon. Resonon provides the industry’s most affordable and easy-to-use hyperspectral imaging systems for laboratory, outdoor, industrial, and remote sensing applications.
Hyperspectral Imaging Cameras
Resonon's hyperspectral cameras are line-scan (i.e. "pushbroom") imagers that scan the visible, ultraviolet, and near-infrared spectral ranges. They are rugged and cost-effective, have high precision, low distortion, low stray light, and excellent image quality.
Resonon’s hyperspectral cameras can be used in any of the Hyperspectral Imaging Systems offer for laboratory, outdoor, and remote sensing applications. They can also be used for machine vision and optical sorting applications.
Spectronon software is included with its research systems, and offer real-time deep learning software for machine vision applications. An SDK is available for users who want to integrate the camera into their own system.
Hyperspectral Imaging Systems
We offer a wide array of comprehensive solutions that are meticulously tailored to meet the diverse remote sensing needs of our clients. Our extensive range comprises advanced hyperspectral camera systems, specifically engineered to excel in a variety of environments and applications, including laboratory, outdoor, and airborne scenarios. These cutting-edge systems have been designed to deliver exceptional performance and accuracy, ensuring precise data acquisition and analysis for various remote sensing endeavours. Whether you require robust equipment for research, fieldwork, or aerial surveys, our advanced hyperspectral camera systems offer unparalleled capabilities and reliability to cater to your specific requirements.
Resonon hyperspectral systems enable you to accurately and consistently distinguish between similar colors or materials. Resonon systems are in use worldwide on platforms ranging from airplanes to microscopes. As the following examples demonstrate, Resonon solutions solve a wide range of problems.
Resonon's hyperspectral imaging systems are used in agriculture research all over the world, enabling identification of weeds, monitoring of plant health, and evaluation of ripeness. Early detection of crop stress is a common application.
Invasive Weed Mapping
A Resonon airborne hyperspectral imaging system was used to identify and locate an invasive weed infestation.
Hyperspectral Fluorescence in Grapevine
A Resonon Pika L hyperspectral imager was used to quantify chlorophyll and nitrogen in Cabernet Sauvignon grapevines.
Resonon hyperspectral systems are used widely in environmental sciences and monitoring applications.
Detecting Contamination in Rivers
In-situ measurements of the Mississippi River Watershed were used to detect nitrates, phosphates, and sediments.
Environmental Mapping with Robotic Teams
An autonomous robotic team was developed that can rapidly learn the characteristics of environments it has never seen before using a Pika XC2. This study describes the characterization of an aquatic environment over just a few minutes.
Resonon systems have been used for many biological and medical applications.
Viable and non-viable Corymbia seeds that appear identical to the human eye can be clearly distinguished using hyperspectral data.
Scientists from NIST and The Ohio State University used a Resonon Pika II hyperspectral imaging camera to characterize wounds.
Resonon hyperspectral imaging cameras are used in air, space, and underwater vehicles to capture detailed spectral data for a wide range of applications.
Yield Estimation in Wheat
A Resonon Airborne Pika L system was used to help predict yield in wheat as a function of fertilizer concentration. LAI and chlorophyll were measured for 24 plots using 8 nitrogen treatments.
Resonon has partnered with NASA to design and build the ARCSTONE hyperspectral instrument to measure calibrate lunar reflectance from low-Earth orbit. The calibration accuracy will improve by more than 10x, helping to increase understanding of Earth systems (i.e., weather, climate change) while reducing future imaging satellite costs.
Resonon's hyperspectral imaging systems are used in food research and industry to identify defects, characterize product quality, and locate contaminants.
A Resonon NIR-640 hyperspectral camera was used to scan apples, some of which were purposefully bruised pre-scanning. Resonon’s Spectronon software was used to classify the bruises. Peeling the skin shows the bruising, undetectable in a standard RGB image.
Subtle color changes associated with food quality can readily be identified using hyperspectral imaging.
The image of chicken nuggets shows the classification: missing breading (red), crispy (green), and appropriately-cooked (blue).
Hyperspectral machine vision detects small color differences more accurately and identifies different materials more reliably than conventional imaging. Resonon's system can be interfaced to robots, labeling devices, or used as feedback for sorting, grading, or process control.
Hyperspectral infrared imagers can identify counterfeits, find defects, and eliminate prescription errors.
The image shows three types of white pills, indistinguishable by color to the human eye, but accurately classified via Resonon NIR-640 hyperspectral machine vision.
Identifying Finished Goods
A major manufacturer of laminates uses Resonon machine vision systems at multiple facilities to identify over 30,000 products daily from a library of several thousand.
The image shows two nearly-identical products that are accurately differentiated using Resonon machine vision.