Case INSPECTRA: Hyperspectral imaging improves quality inspection in the food industry Case INSPECTRA: Hyperspectral imaging improves quality inspection in the food industryHarri2023-09-11T14:00:59+03:00June 16th, 2021|Categories: Applications, Case Studies, Food, Food quality, Industry, Specim FX17 applications|Tags: case study, Food production, Food quality, Industry, Machine Vision, machine vision industry, NIR, Online production, Specim FX17| Read More
Case Study: Strelen – Nuts, and certainly nothing else but nuts Case Study: Strelen – Nuts, and certainly nothing else but nutsHarri2022-08-25T10:55:13+03:00March 23rd, 2021|Categories: Applications, Case Studies, Food, Hyperspectral Imaging, Industry, Sorting, Specim FX10 applications|Tags: case study, Food production, Food quality, Hyperspectral Imaging, Industry, Machine Vision, Online production, Sorting, Specim FX10| Read More
Spectral imaging provides tools for moisture content monitoring during industrial production process Spectral imaging provides tools for moisture content monitoring during industrial production processHarri2023-09-11T14:42:38+03:00February 15th, 2021|Categories: Applications, Food, Food quality, Hyperspectral Imaging, Industry, Specim FX17 applications|Tags: Food production, Food quality, Hyperspectral Imaging, Industry, Machine Vision, machine vision industry, Online production, Specim FX17| Read More
Assessing fat content in minced meat with hyperspectral imaging Assessing fat content in minced meat with hyperspectral imagingHarri2023-09-11T13:50:25+03:00February 15th, 2021|Categories: Applications, Food, Food quality, Hyperspectral Imaging, Industry, Specim FX17 applications|Tags: Food production, Food quality, Industry, Machine Vision, Online production, Specim FX17| Read More
Hyperspectral Technology vs. RGB Hyperspectral Technology vs. RGBHarri2023-09-11T14:17:05+03:00December 16th, 2020|Categories: Applications, Food, Food quality, Hyperspectral Imaging, Industry, Sorting, Specim FX10 applications, Specim FX17 applications|Tags: Food production, Food quality, Hyperspectral Imaging, Industry, Learning, Machine Vision, NIR, theory, VNIR| Read More
Hyperspectral imaging and X-ray inspection in the food industry Hyperspectral imaging and X-ray inspection in the food industryHarri2023-09-11T14:13:58+03:00December 9th, 2020|Categories: Applications, Food, Food quality, Sorting, Specim FX17 applications|Tags: Food production, Food quality, Industry, Learning, Machine Vision, NIR, Online production, x-rays| Read More
Specim launches complete spectral imaging platform for the sorting industryHarri2022-05-19T11:24:46+03:00October 28th, 2020|Categories: Company News, Food, Hyperspectral Imaging, Industry, Product News, Recycling, Sorting|Tags: Food quality, Machine Vision, machine vision industry, Online production, Press Release, Recycling, Sorting| Read More
Hyperspectral imaging reducing textile waste Hyperspectral imaging reducing textile wasteHarri2023-03-30T08:33:50+03:00July 3rd, 2020|Categories: Case Studies, Hyperspectral Imaging, Industry, Recycling, Specim FX17 applications|Tags: case study, Circular economy, Hyperspectral Imaging, Industry, Machine Vision, Recycling, Waste Separation| Read More
Case Picvisa: Automate waste treatment & recycling with hyperspectral imaging and machine vision Case Picvisa: Automate waste treatment & recycling with hyperspectral imaging and machine visionMiko2023-09-11T14:08:28+03:00April 7th, 2020|Categories: Case Studies, Recycling, Specim FX17 applications|Tags: case study, Circular economy, Hyperspectral Imaging, Industry, Machine Vision, Online production, Recycling, Robotics, Waste Separation| Read More
Case Study: ImpactVision – Fighting Food Waste with Hyperspectral Imaging Case Study: ImpactVision – Fighting Food Waste with Hyperspectral ImagingMiko2022-11-22T15:01:16+02:00June 28th, 2019|Categories: Applications, Case Studies, Food, Food quality, Industry, Specim FX10 applications|Tags: Food production, Food quality, Hyperspectral Imaging, Machine Vision, Online production, Specim FX10| Read More
