HYPERSPECTRAL IMAGING IN RECYCLING AND WASTE MANAGEMENT
The efficient recycling of waste into reusable materials is one of the significant efforts we must take to save our scarce natural resources.
Sorting waste manually is time-consuming, labor-intensive, and hazardous. Hyperspectral imaging can sort materials quickly and efficiently, reducing the time and cost of sorting and increasing safety.
Hyperspectral imaging identifies and separates different materials, such as plastics, textiles, metals, glass, paper, and cardboard, based on their chemical structure.
Hyperspectral imaging can identify a broader range of materials than traditional sorting methods, which rely on visual inspection or basic sensors.
More accurate material separation reduces contamination and increases the purity of recycled materials and profit.
Hyperspectral imaging can help increase the number of recycled materials rather than sent to landfills, reducing waste’s environmental impact.
Hyperspectral imaging can be integrated into automated waste sorting systems, reducing the need for manual sorting and increasing the speed and efficiency of the process.
Overall, hyperspectral imaging offers significant benefits for waste sorting:
- Increase the safety and efficiency of recycling
- Automate workflows
- Increase the purity of recycled materials
- Reduce cost and increase profit
- Reduce the environmental impact
Read more: Waste Robotics case study – Hyperspectral Imaging: A Tool for Future Waste Management
Read more: Hyperspectral imaging shapes the future of sustainable recycling
Hyperspectral imaging for plastic classification
Each plastic type has its specific spectral fingerprint. The Specim FX17 hyperspectral camera can identify and sort all different plastic types, including PET, HDPE, PVC, LDPE, PP, PS, PE, and ABS in all colors.
The framerate and resolution of the Specim FX17 meet the requirements of industrial sorting processes in terms of speed, accuracy, reliability, versatility, and cost-effectiveness.
Read more: How Prodecologia used cutting-edge hyperspectral imaging technology to achieve 98% polymer purity
Read more: Case Picvisa – Machine vision solutions for waste treatment & recycling
Separation and sorting of black plastics
Black polymers are widely used in the food, electronics, and car industry. However, black plastics are difficult to sort because they do not reflect light, making them difficult to identify using optical sorting technology – up until now.
Specim FX50 hyperspectral camera is the forerunner to solve the black plastics recycling issue.
It is the only camera available on the market covering the full MWIR spectral range of 2.7 – 5.3 μm required in black plastics sorting.
Specim FX50 can detect PS, PE, PP, ABS, PVC, black plastics, rubber, and specific additives.
Read more: Breakthrough in black plastic sorting
Construction waste often contains hazardous substances such as asbestos. With hyperspectral imaging, it is possible to safely sort valuable and reusable construction waste, such as concrete, wood, tiles, paper, and cardboard, as well as different plastics, without exposing people to hazardous materials.
Read more: Case ZenRobotics – Robotics revolution in waste separation
Hyperspectral imaging can distinguish plant, animal, and artificial fibers. It shows good potential to help solve the global challenge of managing textile waste and turning it into renewable materials.
Read more: Hyperspectral imaging reducing textile waste