An Effective Tool
Digital cameras have replaced film and analog video as part of a researcher’s toolbox. Headwall’s intuitive hyperspectral scanning systems replace disparate components with complex software.
Academic and industrial researchers benefit from Headwall scanning systems that incorporate the latest in easy-to-use software by Headwall and perClass, and flexible yet properly configured and tested hyperspectral imaging hardware. Choose from systems that operate from the VNIR to SWIR and come with optimized lenses and lighting.
The latest Headwall scanning systems are designed to be portable, so that you can take them to the places where your specimens are. The perClass Mira Scanning Stage comes with a hard case with wheels and folding handles, designed to be brought aboard flights as checked-in or even carry-on luggage. Once set up, they can be operated as benchtop systems by domain-expert researchers or even technicians trained to simply gather data. You don’t have to be a spectroscopist to benefit from hyperspectral technology.
Case studies
Real-Time, Non-Contact Sorting of Plastics for Recycling Using Hyperspectral Imaging
This feasibility study utilized an inno-spec GmbH (now a Headwall Group company) hyperspectral imaging system consisting of a RedEye 1.7 (950 – 1700 nm) push-broom camera, compact scanning stage, tungsten halogen lighting, and a host computer running perClass Mira software. Plastic samples of known composition were scanned and a model created to show which samples were made of which polymer. Once properly trained, mixed batches of plastic were passed under the RedEye sensor, detected and false-colored using perClass Mira in real time! In a factory scenario, the positions of each plastic type is sent downstream.
Sorting Textiles for Recycling
Of the many efforts of conservation and reduction of waste, textiles remain one of the greatest challenges. The United States EPA estimates that of the 25 billion pounds of post-consumer textile waste recycled, only 15% is recycled and repurposed, while the remaining 85% of it ends up in landfills.1 The challenge facing textile recycling projects is discerning between similar looking fabrics at a high throughput. The ideal solution for this challenge would be a non-contact classifier that can sort the different fabrics and blends at high speeds. With Headwall’s hyperspectral imaging (HSI) sensors, and
perClass Mira’s machine learning software, Headwall provides a potential solution to this problem.
