GRIP-R: Gripper Innovation for the Picking of Recyclables

GRIP-R：用于拾取可回收物的夹具创新

• 批准号: 10060369
• 金额: $ 30.78万
• 依托单位: RECYCLEYE LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10060369
• 关键词: GRIP; Gripper; Innovation; Picking; Recyclables

Recycleye presents GRIP-R (Gripper Innovation for the Picking of Recyclables), an AI-driven waste sorting solution with enhanced gripping capabilities that will put the country on track to meet the Plastics Pact target of 70% of plastics packaging effectively recycled, and spearhead the mission to optimise the waste industry's ability to handle the growing issue of contamination caused by film and flexible packaging.Recycleye has already developed a low-cost, AI-powered system replicating the power of human vision. It uses advanced machine learning algorithms to provide automatic, image-based detection of individual items in co-mingled waste streams, at a material and object level. It leverages a cutting-edge synthetic data generation pipeline, and Recycleye's own WasteNet - the world's largest visual database of labelled waste items, with over 2.5 million images across 28 material classes.In a previously funded R&D project, Recycleye augmented the vision system with a robotic arm to deliver a robotic sorting solution. Now, Recycleye will push the boundaries of robotics to aim for a higher successful pick rate, leading to more accurate industrial processes and purer material streams circulating in the waste industry, while rapidly expanding the waste industry's films and flexibles handling capacity.It is traditionally unfeasible to detect and sort films and flexible plastic packaging without extensive manual labour (economically unviable) and these materials are often released into the environment through international waste exports or landfilling. Films and flexibles that do find their way into Material Recovery Facility's (MRFs), are stream contaminants, and can cause significant damage to existing machinery, resulting in blockages and downtime which impacts the recovery of high-value target plastics.GRIP-R will respond to the challenges posed by film/flexible contamination with exploratory work that results in the redesign of our gripping and pneumatics system to increase material recovery efficiency, while bringing to market the UK's first AI-driven, low-cost, multi-stream robotic sorter which is also equipped to pick and separate films/flexibles.

GRIP-R（可回收物品拣选的抓具创新），这是一种人工智能驱动的废物分类解决方案，具有增强的抓具能力，将使该国走上正轨，以实现塑料公约70%的塑料包装有效回收的目标，并率先使命，以优化废物处理行业的能力，以处理日益增长的问题所造成的薄膜和软包装。一个低成本的人工智能系统，复制人类视觉的力量。它使用先进的机器学习算法，在材料和物体层面上对混合废物流中的单个物品进行自动的、基于图像的检测。它利用了尖端的合成数据生成管道和Biscleye自己的Biscleye Net-世界上最大的标签废物可视化数据库，包含28种材料类别的250多万张图像。在之前资助的研发项目中，Biscleye通过机械臂增强了视觉系统，以提供机器人分拣解决方案。现在，Sparkleye将推动机器人技术的发展，以实现更高的成功拣选率，从而实现更精确的工业流程和更纯净的废物处理行业循环物料流，同时迅速扩大废物行业的薄膜和柔性包装处理能力。传统上，如果没有大量的手工劳动，检测和分类薄膜和柔性塑料包装是不可行的这些材料往往通过国际废物出口或填埋而释放到环境中。进入材料回收设施（MRF）的薄膜和柔性材料是流污染物，并可能对现有机械造成重大损害，导致堵塞和停机，影响高价值目标塑料的回收。GRIP-R将应对薄膜/灵活的污染与勘探工作，导致重新设计我们的抓取和气动系统，以提高材料回收效率，同时向市场推出英国第一台人工智能驱动的低成本多流机器人分拣机，该分拣机还配备了挑选和分离薄膜/柔性件的设备。