没有时间浪费,与游泳!

S. Faye, F. Melakessou, P. Gautier, D. Khadraoui
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引用次数: 3

摘要

管理来自专业客户(例如餐馆、商店)的废物有很多要求,必须满足这些要求,以确保高质量的服务和符合环境要求。现有的决策支持系统通常依赖于有限的信息流,并提供通常是静态的或基于统计的方法。利用SWAM,我们的目标是创建一个智能废物收集系统,该系统依靠集成在垃圾箱中的新型填充物传感器技术产生的数据。通过这次演示,我们打算展示人工智能和新的传感技术如何为这一领域带来好处。项目概念将通过一个小规模的互动演示来展示,观众将负责正确执行废物收集过程。网上有一段演示视频,它展示了观众、我们的决策系统、垃圾收集机器人和配备超声波传感器的微型垃圾箱之间的互动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
No Time to Waste, with SWAM!
Managing waste from professional customers (e.g. restaurants, shops) has an impressive number of requirements that must be met to ensure a high quality of service and environmental compliance. Existing decision support systems generally rely on a limited flow of information and offer an often static or statistically based approach. With SWAM, we aim to create a smart waste collection system relying on data generated by new fill-level sensor technologies integrated into waste bins. Through this demonstration, we intend to show how artificial intelligence and new sensing technologies can be of benefit to this sector. The project concept will be showcased through a small-scale interactive demonstration where the audience will be responsible for the proper execution of the waste collection processes. A video of the demo is available online1 -It shows the interaction between the audience, our decision-making systems, waste collection robot and miniature bins equipped with ultrasonic sensors.
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