SORTING | TECHNOLOGY
SpydIR with Max-AI unit joins the near infrared light detection of the SpydIR to identify plastics, paper, wood, and other materials by material type with its Max-AI technology, which employs a camera and multi-layered neural network that learns, sees and thinks the way a person would, says BHS CEO Steve Miller. For example, the NRT SpydIR can quickly detect and reliably identify fibre, PET, or numerous other materials, but with Max-AI the unit can identify if that fibre is on a tin can or if it is cardboard, and if a tray is made from PET or food grade HDPE. The technology has the flexibility to change
what material types are targeted and this allows the user to adjust to market and material fluctuations. The vision system with AI provides real-time data on both system efficiency and on the ever-chang- ing composition of materials in the recovery stream. Several installations around the world are used in applications to capture form-specific PET (bottle only, or blue or green bottle only), or identify black plastics made into thermoformed trays or containers with full-wrap fibre labels. BHS also developed a new robotic sorter that can grasp objects weighing up to 15 lbs (6.8 kg)
and sort up to three material fractions from a single robot. The Max-AI AQC-Flex Robotic sorter is configured with the Max-AI visual identification system and two AQC robotic pickers and is suited to use in areas where heavy or non-uniform objects are present within the material stream, such as pre-sort and post-sort operations. It eliminates human injuries associated with lifting heavy objects by automating the task. Picks are prioritised by material type but easily adjusted by the user. The AI’s neural network can be retrained to identify new materials to select in the waste stream. The first unit being installed will pull green compost bags from black and blue bags and other materials.
CLICK ON THE LINKS FOR MORE INFORMATION: �
www.tomra.com/recycling �
www.sesotec.com �
www.pellencst.com �
www.buhlergroup.com �
www.bulkhandlingsystems.com �
www.aim.be �
https://endplasticwaste.org �
www.digitalwatermarks.eu �
www.digimarc.com
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