Deploy Machine Learning and AI for Hyperspectral Imaging in Inspection Applications

Hyperspectral technology captures the full range of the electromagnetic spectrum, providing a more detailed representation of each pixel within an image. When compared to a more traditional camera – which mimics the abilities of the naked eye – hyperspectral imaging produces many more bands and draws upon ultraviolet and infrared information to populate the image. Benefits of hyperspectral have been widely adopted across multiple markets, improving food processing and inspection, agraculture, pharmaceutical, and surveillance sectors to name a few.

In a quality inspection in agriculture or pharmaceutical for example, hyperspectral imaging can detect different compositions, meaning if there is a flaw or defect in the goods inspected, it can be identified easily, where in traditional inspection it may require a secondary screening. This advantage allows farming and food production to efficiently inspect yields for decay, bugs or chemicals, and pharmaceuticals to ensure correct lot production and packaging, minimizing hazardous mislabeling and costly recalls.

The AI Gateway and hyperspectral AI plug-in developed with Pleora partner perClass provides a user friendly approach for inspection applications. Designed with scalability in mind, the AI Gateway is a standards-compliant out-of-the-box solution with no-code capabilities. Integrate hyperspectral imaging into processes with no programming required while simultaneously training AI algorithms.

Reduce false-positives, costly inspection errors and secondary screenings while keeping existing hardware and software. The AI Gateway is a great solution for a seamless integration between existing processes and hyperspectral imaging by managing images before sending the processed data over GigE Vision to the inspection application. Supported by Pleora’s powerful NIVIDA GPU custom algorithms developed in other platforms such as Tensorflow, Python and OpenCV, end-users can easily upload to Pleora’s widely used OS, eBUS SDK.