Videos
Picvisa – Machine Vision solutions for waste treatment & recycling with hyperspectral cameras
Picvisa is a Spanish company that has over 20 years’ worth of experience of providing machine vision solutions for waste treatment, recycling, and various industrial processes. Specim has provided Picvisa with compact hyperspectral cameras that assist in classifying materials based on their chemical composition.
ROI Calculator
Discover the potential cost savings of robotic automation over a 20-year system life
This calculator compares your current manual labor costs against the total cost of owning and operating a robotic system over its 20-year lifespan.
Specim, Spectral Imaging Ltd.
Specim is a globally leading supplier in hyperspectral imaging. We serve the market with the broadest range of hyperspectral cameras, imaging spectrographs, systems, and accessories. We are known as a trusted partner with products and support of superb quality and cost-efficiency.
Discover how Specim, Spectral Imaging Ltd. can support your automation journey with their complete range of solutions and expertise.
Visit Company Website
Specim is a globally leading supplier in hyperspectral imaging. We serve the market with the broadest range of hyperspectral cameras, imaging spectrographs, systems, and accessories. We are known as a trusted partner with products and support of superb quality and cost-efficiency.
Case Study: Strelen – Nuts, and certainly nothing else but nuts
Strelen Control Systems GmbH uses a hyperspectral camera from the Finnish manufacturer Specim to check nuts before processed in the food industr
As Machine Vision Weeds Out Costs, Expect It to Raise More Crops
For millennia, agriculture has helped spread human civilization with the practiced application of seeds, water, fertilizer, and grit.
Case Condi Food: The perfect tasting cherry tomatoes – Hyperspectral imaging for real-time food taste inspection
Learn how Condi Food uses Specim’s FX17 hyperspectral imaging to analyze cherry tomatoes’ taste and quality in real-time, improving production