Description
Specifications
Applications
DownloadsExtended SWIR Hyperspectral Camera
The HinaLea® 4455 system is a high speed band-sequential, full-frame, extended SWIR hyperspectral camera capable of real-time classification while operating in the 1300 – 2200 nm spectral range. Utilizing front-staring Fabry Perot technology, the 4455 comes complete with the necessary hardware and software to support a wide array of hyperspectral imaging applications. Noteworthy specifications encompass 225 spectral bands with a spectral resolution of 15 nm (FWHM).
In just seconds, the HinaLea 4455 captures a comprehensive high-spatial-resolution image data-cube spanning the Extended SWIR spectral range. Additionally, it can be programmed to scan a subset of bands, offering dynamic control tailored to the application and the object under examination, thereby optimizing data-capture and data-processing efficiency.
The design of the Hinalea Model 4455 ensures superior spectral and spatial resolution, effectively overcoming challenges related to image uniformity that line-scanning and patterned filter snapshot multi-spectral imagers often encounter. Furthermore, this innovative sensor is engineered to be small, lightweight, and cost-effective, facilitating easy deployment in diverse settings such as laboratories, production environments, or field applications.
Main Features
- High spatial & spectral resolution
- Real-time imaging & classification
- SWIR (1200-2100 nm)
- 225 spectral bands
- ~15 nm (FWHM)
- Sensor spatial resolution 640 x 512 pixels
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Extended SWIR Applications
Food Safety
The prevalence of pathogenic microorganisms, such as salmonella, listeria, and E. coli, in food products poses a significant threat to both consumer safety and the broader food industry. The failure to promptly detect these pathogens can lead to severe outbreaks of foodborne illnesses, resulting in an annual economic burden exceeding $100 billion and a global fatality toll exceeding four hundred thousand. Existing detection methods are expensive, involve intricate sample preparation, and take days to produce results, thereby amplifying the severity of outbreaks.
Hinalea Imaging has pioneered an innovative approach to rapid and reliable pathogen detection. Their self-contained system seamlessly integrates hyperspectral imaging, microscopy, and advanced deep machine learning, featuring automated sample loading and detection capabilities.
Through collaboration with the USDA, Hinalea Imaging has showcased the ability to rapidly identify pathogens in under 4 hours, significantly reducing the time required for diagnosis and response. This groundbreaking advancement paves the way for detection times of under an hour, transforming pathogen detection and response from a laborious and time-consuming lab process into a user-friendly point-of-care solution.
Food Quality
Conventional machine vision systems fall short in rigorously evaluating food and agricultural products. Commonly employed systems, using color video cameras with RGB filters to replicate human eye functionality, prove inadequate for many functions in modern processing environments.
Hyperspectral Imaging emerges as a next-generation technology that can either augment or replace existing machine vision systems. Offering high spectral and spatial resolution, hyperspectral imaging facilitates comprehensive and data-rich inspection of foods and other products. It extends into the UV or IR range, providing details on chemical and structural composition not discernible in the visible spectrum.
Hyperspectral imaging contributes additional spectral information, empowering manufacturers to enhance quality assurance in various food safety and quality domains. This includes detecting harmful foreign objects, identifying mechanical damage, and measuring food quality attributes such as ripeness, decay, freshness, and ingredient homogeneity.
Precision Agriculture
With the global population projected to reach 9 billion, the agriculture industry faces heightened demand for food and water, necessitating improved crop yield and farm productivity. Precision agriculture emerges as a potential solution, combining new technology with traditional farming techniques to achieve more with less.
Hinalea Imaging offers intelligent hyperspectral imaging solutions to aid precision agriculture. These solutions, integrating cutting-edge imaging hardware with custom machine learning algorithms, can be mounted statically or deployed on UAVs or other vehicles.
Hyperspectral imaging provides additional spectral information for farmers, enabling applications such as plant health and hydration monitoring, weed mapping, disease detection, and optimizing harvesting processes.
Industrial & Defense
In addition to optimizing and safeguarding food supply chains, Hinalea collaborates with customers to address diverse challenges in industrial and remote sensing applications. Projects vary, including aerial surveillance for threat detection, identification of chemical degradation of pipes, QA of electrical components and displays, inspection of packaging, and classification of raw materials.
Hinalea configures its imaging platform for each specific customer requirement, thanks to its flexible form factor.
Tailored solutions range from UAV-mounted SWIR imagers for real-time imaging and classification to imagers mounted on crawlers for inspecting pipes in environmentally hazardous areas. Additionally, Hinalea develops integrated in-line quality assurance systems for product grading and stand-alone end-of-line quality assurance systems for quality sampling.
Hinalea 4455 XSWIR Hyperspectral Camera, equipped with a powerful software
The 4455 VNIR system includes proprietary application software featuring fast and easy hyper-cube capture and intuitive image classification/segmentation as part of a suite of powerful spectral image exploration tools.