ADER (Automated Detection, Ejection & Recovery)

Recycleye推出了ADER(自动检测、弹射和回收)项目，这是一种人工智能驱动的垃圾分类解决方案，将使该国走上正轨，实现塑料包装70%有效回收的目标，并带头通过增加高质量和一致的回收利用，在所有塑料包装中增加回收含量。Recycleye已经开发了一种低成本、人工智能驱动的系统，复制了人类视觉的力量。它使用先进的机器学习算法，在材料和对象层面上提供对混合废流中单个物品的自动、基于图像的检测。它利用尖端的合成数据生成管道，以及Recycleye自己的WasteNet-世界上最大的标签废物可视化数据库，拥有超过250万张图像。ADER将利用人工智能来对材料进行分类，以比以往任何时候都更高的粒度、速度和可负担性。它将把消费后的垃圾分类成更多的类别(10+vs2-3)，而不是现有的仅依赖近红外的光学分选机，因此由于传感器的高成本，其规模潜力有限。此外，Recycleye的AI VISION模块的集成使垃圾分类达到目前无法达到的纯度和粒度水平，例如通过区分食品级PP、PET托盘和PET瓶，甚至可以检测不太常见的收集类别，如有色塑料(Jazz)。

Recycleye presents Project ADER (Automated Detection, Ejection & Recovery), an AI-driven waste sorting solution 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 increase recycled content across all plastic packaging by increasing the availability of high-quality and consistent recyclate.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.ADER will leverage AI in order to sort materials to a higher granularity, speed, and affordability than ever possible before. It will sort post-consumer waste into more categories (10+ vs 2-3) than existing optical sorting machines which rely on NIR alone, and so have limited scaling potential due to the sensor's high cost. Moreover, the integration of Recycleye's AI vision module enables the sorting of waste to currently impossible levels of purity and granularity, for example by distinguishing between food and non-food grade PP, PET trays and PET bottles, and can even detect less commonly collected classes, such as coloured plastics (jazz).