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

我们提出了Check，这是一个基于人工智能的解决方案，使用联合学习和计算机视觉来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。拟议的Check部署将在分布式架构上运行，将从入站运输到仓库/存储再到调度的物流流程中的多个物理站点和节点连接起来。该解决方案的目标是帮助创建可见性和信任，了解如何使用人工智能安全地分享见解。能力、资源可用性和工人/车辆接口，以在其运营过程中带来安全和效率。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-潜在地阻碍了它们在全球大型第三方物流公司中的竞争力。为了帮助应对这些挑战，Check打算为一个项目建立一个联盟，该项目将把分布式的被动视频转化为实时、始终在线的主动分析引擎，将为物流运营商提供效率和安全优势，特别是在运输和仓储过程中。目标是确保规模较小的物流提供商的市场竞争力，保持他们的成本较低，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.