The service delivers experimental testing, benchmarking, and validation of hyperspectral imaging (HSI), chemical computer vision, and deep learning classification in a conveyor based testbed for high speed industrial sorting and quality control. We analyze continuous spectral signatures (VNIR/SWIR wavelengths) across complex test objects such as polymer blends, black plastics, organic food materials, pharmaceuticals, and recycled textiles. The purpose is to help recycling, food, and manufacturing enterprises replace error prone RGB vision with chemical composition classification, achieving sorting purity above 95 percent and cutting contamination rejection rates.
A documented evaluation of hyperspectral imaging and AI-based analysis for relevant materials or products, including performance data, application assessment, and recommendations for further development or implementation.
The service is delivered as an experimental test process in a conveyor-based hyperspectral imaging setup, including spectral response measurement, data quality analysis, testing of Deep Learning-based methods, and delivery of documented results and recommendations.
Manufacturing, Food and biomaterials, Plastics and recycling, Quality control and sorting, Other emerging and enabling technologies