Archive for the ‘Spectral Imaging’ Category

Shihezi University logo over tomatoes growing in a field

Transforming Food Manufacturing Inspection with Hyperspectral Imaging 

Food manufacturers today face unprecedented demands: greater throughput, stricter safety standards, zero-tolerance defect rates, and expectations for consistent product quality. Traditional tools – RGB cameras, manual sampling, and visual inspection – struggle to keep pace with these demands.  Recent research by Zhao et al. (2023) published in LWT – Food Science and Technology use near-infrared (NIR) hyperspectral imaging combined with interpretable machine learning models to access tomato quality and maturity, which determine the […]

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SUADS demonstrator aboard MV Independence during the ANTX 2025 Coastal Trident conducted by NSWC Port Hueneme Division.

Surface Optics Showcases SUADS UAV Detection Technology at Fathomwerx Summit 2025

Surface Optics Corporation is exhibiting at this year’s FATHOMWERX Summit, held at the Port of Hueneme in Ventura County, California, on October 15 and 16. FATHOMWERX, aims to foster collaboration between industry, academia, the Department of the Navy, and allied forces. At the summit, Surface Optics will demonstrate the Spectral Imaging UAV Detection Sensor (SUADS), […]

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How Much Does A Hyperspectral Camera Cost in 2026?

Last Updated: January 2026 Considering Purchasing a Hyperspectral Camera For Your Lab? The relevance of hyperspectral imaging research is growing rapidly, fueled by its increasing viability in real-world and industrial applications. Advances in optics, image processing, data compression, and computing are accelerating this shift—today’s research is laying the foundation for tomorrow’s commercial solutions. This blog […]

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Coastal Trident Preview: Advancing UAV Detection with Multispectral Imaging

The Spectral Imaging UAV Detection Sensor (SUADS) uses video-rate multispectral imaging across the SWIR to LWIR bands to detect and track small drones in real time. Its passive design leverages spectral signatures to distinguish UAVs from birds and debris, enabling reliable operation in complex, cluttered environments.

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Smarter Rapeseed Harvests: Hyperspectral Imaging for Water Content and Maturity Detection

Researchers at the College of Agronomy, Hunan Agricultural University are applying hyperspectral imaging as a powerful tool to improve rapeseed growth, yield, and quality. Their work focuses on addressing key challenges in managing rapeseed (Brassica napus L.) production, an important oilseed crop cultivated worldwide. One of the most critical phases for maximizing seed output is […]

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