End-to-End Privacy Preserving AI-Powered Solution for Third-Party Logistics Providers

我们提出CHECK，这是一个基于人工智能的解决方案，它使用联合学习和计算机视觉为中小型第三方物流提供商构建一个隐私保护、可扩展的分析平台。CHECK的拟议部署将在分布式架构上运行，连接从入站运输到仓库/存储到调度的物流过程中的多个物理站点和节点。该解决方案的目标是帮助建立可见性和信任，了解如何使用人工智能来安全地共享有关容量、资源可用性和工人/车辆接口的见解，从而为其运营流程带来安全性和效率。小型物流公司面临着许多挑战，包括有限的资源、技术和能力，这可能会阻碍他们在全球大型第三方物流公司中的竞争力。为了帮助解决这些挑战，CHECK打算为一个项目建立一个联盟，将分布式、被动的视频转化为实时、始终在线、主动的分析引擎，为物流运营商提供效率和安全效益，特别是在运输和仓储过程中。目标是确保小型物流供应商的市场竞争力，降低成本，提高运营效率和工作场所安全。

We propose CHECK, an AI-powered solution that uses federated learning and computer vision to build a privacy-preserving, scalable analytics platform for small and medium-sized Third-Party Logistics Providers. The proposed deployment of CHECK will run on a distributed architecture, connecting multiple physical sites and nodes in the logistics process from inbound transport to warehouse/storage to dispatch. The goal of the solution is to help create visibility and trust of how AI can be used to securely share insights re. capacity, resource availability and worker/vehicle interface to bring safety and efficiencies in their operational processes.Small logistics companies are faced with a number of challenges including limited resources, technologies and capacities - potentially hindering their competitiveness among global, larger 3PL (third-party logistics) companies.Seeking to help address these challenges, CHECK intends to build a consortium for a project that will turn distributed, passive videos into real-time, always-on, proactive analytics engine that would provide efficiency and safety benefits for logistics operators specifically in the transportation & warehousing processes. The goal is to to ensure smaller logistics providers' market competitiveness, keeping their costs down, operations efficient and workplaces safe.