Hyperspectral imaging merges spectroscopy with traditional imaging by dividing light across narrow spectral bands—ranging from ultraviolet (UV) through visible and near-infrared (NIR). This technique excels in detecting subtle color variations imperceptible to the human eye, making it ideal for applications such as optical sorting, counterfeit detection, agriculture, pharmaceuticals, surveillance, microscopy, spectroscopy, endoscopy, and skin health.

Technical Breakdown

Hyperspectral imaging operates by capturing data across numerous contiguous spectral bands. Unlike standard color cameras that detect broad red, green, and blue wavelengths, hyperspectral systems analyze light in narrow increments (typically 10nm or less). This allows for precise material identification based on unique spectral signatures.

Key Advantages

  • Enhanced discrimination: Hyperspectral imaging can distinguish minute differences between objects that appear identical to the naked eye.
  • Non-contact analysis: The technique enables rapid, non-destructive inspection of materials and surfaces.
  • High data density: Each pixel in a hyperspectral image contains not just color information but a full spectrum of light measurements.

Implementation Example

A notable demonstration by Imec at the 2013 Photonics West Exhibition highlighted how hyperspectral imaging surpasses traditional methods. Using their CMOSIS CMV4000 sensor—a compact, 4-megapixel device capable of capturing images at up to 180 frames per second—they showcased superior object classification in applications like agricultural sorting and counterfeit detection.

Compact Solutions

Imec’s approach eliminates bulky optics by leveraging advanced CMOS technology. This results in smaller, more affordable hyperspectral imaging systems suitable for integration into various industrial and scientific workflows.

For a deeper technical dive into this demonstration and further resources, explore Imec’s complete analysis.

Last Updated: 2025-09-04 21:32:20