4250 | VIS-NIR Hyperspectral Camera

4250 VNIR Hyperspectral Camera, in a nutshell

The VNIR 4250 is a non-contact hyperspectral camera covering the visible and near-infrared range from 400 nm to 1,000 nm. The 4250 weighs a scant 1.25 kg and measures only 198 mm x 81 mm x 78 mm. It is easily deployed in the field or inside a 24×7 production or inspective environment. Spectral resolution for the 4250 is 4 nm (FWHM) across 300 spectral bands.

The 4250 VNIR system marks a significant advancement in intelligent hyperspectral imaging technology. Utilizing front-staring Fabry Perot technology, this system is equipped with both hardware and software essentials to cater to a wide array of hyperspectral imaging applications. A tunable filter positioned in front of the sensor sequentially selects spectral bands, generating a hyper-cube by capturing comprehensive images at each spectral band-pass.

The 4250 hyperspectral camera swiftly captures a complete high-spatial-resolution image data-cube spanning the visible to near-infrared spectral range at a remarkable 4 nm resolution within seconds. It is also programmable to scan a specific subset of bands, allowing dynamic control based on the imaging application and targeted object. The innovative design of the HinaLea 4250 ensures superior spectral and spatial resolution, overcoming the challenges associated with image uniformity often encountered in line-scanning hyperspectral and patterned filter snapshot multi-spectral imagers.

HinaLea has successfully engineered its hyperspectral technology to be compact, lightweight, and cost-effective, facilitating effortless deployment in various settings such as laboratories, production environments, or field applications.

Learn more about the manufacturer at their website: https://hinaleaimaging.com/

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4250 VIS NIR Hyperspectral Camera Applications

Food Safety

The risk posed by pathogenic microorganisms like salmonella, listeria, and E. coli in food poses a significant hazard to both consumer safety and the broader food industry. Failure to detect these pathogens can lead to severe outbreaks of foodborne illnesses, with an economic burden exceeding $100 billion annually and a global death toll exceeding four hundred thousand people. Current detection methods are expensive, involve complex sample preparation, and take days to yield results, exacerbating the severity of outbreaks.

Hinalea Imaging has pioneered an innovative approach to rapid and reliable pathogen detection. Their self-contained system integrates hyperspectral imaging, microscopy, and advanced machine learning, featuring automated sample loading and detection capabilities.

Collaboration with the USDA has showcased the system’s ability to identify pathogens in under 4 hours, significantly reducing the time required for diagnosis and response, with a potential pathway to achieving detection times of under an hour. This transformative technology shifts pathogen detection from a laborious lab process to a user-friendly point-of-care solution.

Enhancing Food Quality

Traditional machine vision systems struggle to meet the stringent requirements for evaluating food and agricultural products. Hyperspectral Imaging, can either complement or replace existing machine vision systems. Offering high spectral and spatial resolution, hyperspectral imaging allows for comprehensive and data-rich inspection of foods and other products. Moreover, it can extend into the UV or IR range, revealing details about chemical and structural composition not visible in the visible spectrum.

Hyperspectral imaging contributes valuable spectral information in various food safety and quality areas, including detecting foreign objects, identifying mechanical damage, and measuring food quality attributes such as ripeness, decay, freshness, and ingredient homogeneity.

Precision Agriculture for Sustainable Farming

With the global population approaching 9 billion, the agriculture industry faces increasing pressure to enhance crop yield and farm productivity, compounded by economic challenges and the impact of climate change. Precision agriculture (PA) emerges as a potential solution, integrating technology with traditional farming techniques to optimize resource utilization.

Hinalea Imaging provides intelligent hyperspectral imaging solutions to support precision agriculture, combining state-of-the-art imaging hardware with custom machine learning algorithms. Hyperspectral cameras offer additional spectral information for applications like plant health monitoring, weed mapping, disease detection, and optimizing harvesting processes.

Industrial & Defense Applications

Beyond optimizing and securing food supply chains, Hinalea collaborates with customers to address various industrial and remote sensing challenges. Tailoring its imaging platform to specific customer requirements, Hinalea has successfully implemented solutions for aerial surveillance, chemical degradation identification in pipes, quality assurance of electrical components and displays, packaging inspection, and raw material classification.

The flexible form factor of Hinalea’s imaging platform allows for the development of solutions tailored to specific environments, such as:

• UAV-mounted SWIR imagers for real-time imaging and classification
• Crawlers for inspecting pipes in environmentally hazardous areas
• Integrated in-line quality assurance systems for product grading
• Standalone quality assurance systems for end-of-line product grading.

4250 VIS-NIR Hyperspectral Camera, equipped with a powerful software

The 4250 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.