GRIP-R: Gripper Innovation for the Picking of Recyclables

Recycleye公司推出了GRIP-R（可回收物品拾取的grip创新），这是一种人工智能驱动的垃圾分类解决方案，具有增强的抓取能力，将使该国走上实现《塑料公约》目标的轨道，即70%的塑料包装得到有效回收，并带头优化废物行业处理日益严重的薄膜和软包装污染问题的能力。Recycleye已经开发出一种低成本的人工智能系统，可以复制人类的视觉能力。它使用先进的机器学习算法，在材料和物体层面对混合废物流中的单个物品进行自动、基于图像的检测。它利用了尖端的合成数据生成管道，以及Recycleye自己的WasteNet——世界上最大的有标签的废物视觉数据库，拥有28种材料类别的250多万张图像。在之前资助的研发项目中，Recycleye用机械臂增强了视觉系统，以提供机器人分拣解决方案。现在，Recycleye将推动机器人技术的发展，以实现更高的成功拾取率，从而实现更精确的工业流程，并在废物行业中循环更纯净的物料流，同时迅速扩大废物行业的薄膜和柔性处理能力。传统上，如果没有大量的体力劳动（经济上不可行），检测和分类薄膜和软性塑料包装是不可行的，这些材料经常通过国际废物出口或填埋释放到环境中。进入材料回收设施（mrf）的薄膜和柔性材料是流污染物，可能对现有机械造成重大损害，导致堵塞和停机，从而影响高价值目标塑料的回收。GRIP-R将通过探索性工作来应对薄膜/柔性材料污染带来的挑战，从而重新设计我们的夹带和气动系统，以提高材料回收效率，同时将英国首款人工智能驱动、低成本、多流机器人分拣机推向市场，该分拣机还配备了拣取和分离薄膜/柔性材料的设备。

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.