Public feeding programs continue to be a major source of nutrition to a large part of the population across the world. Any disruption to these activities, like the one during the Covid-19 pandemic, can lead to adverse health outcomes, especially among children. Policymakers and other stakeholders must balance the need for continuing the feeding programs while ensuring the health and safety of workers engaged in the operations. This has led to several innovations that leverage advanced technologies like AI and IOT to monitor the health and safety of workers and ensure hygienic operations. However, there are practical challenges in its implementation on a large scale. This paper presents an implementation framework to build resilient public feeding programs using a combination of intelligent technologies. The framework is a result of piloting the technology solution at a facility run as part of a large mid-day meal feeding program in India. Using existing resources like CCTV cameras and new technologies like AI and IOT, hygiene and safety compliance anomalies can be detected and reported in a resource-efficient manner. It will guide stakeholders running public feeding programs as they seek to restart suspended operations and build systems that better adapt to future crises.
翻译:公共供餐方案仍然是全世界大部分人口的主要营养来源,这些活动的任何中断,如在Covid-19大流行期间的中断,都可能导致不利的健康结果,特别是在儿童中间。决策者和其他利益攸关者必须平衡继续供餐方案的需求,同时确保参与活动的工人的健康和安全。这导致了若干创新,利用诸如AI和IOT等先进技术监测工人的健康和安全并确保卫生运作。然而,在大规模实施过程中存在实际挑战。本文件提出了一个实施框架,以利用智能技术组合建立具有复原力的公共供餐方案。该框架是在印度一个大型午餐供餐方案下运行的设施试行技术解决方案的结果。利用闭路电视摄像机和新技术(如AI和IOT),可以以资源效率高的方式检测和报告卫生和安全合规异常现象。它将指导利益攸关方实施公共供餐方案,因为他们寻求重新启动中止的操作,并建设更好地适应未来危机的系统。