Using AI & NILM technology to help older adults live longer in their own homes and bring higher efficiency to group caring

在Informetis Europe，我们的目标是支持我们社会中更脆弱和老龄化的成员在舒适的家中更独立地享受未来。我们认为，老年人不仅应该能够独立生活在一个既安全又熟悉的环境中，只要他们愿意，而且提供的任何预防性辅助护理都应该尽可能非侵入性。我们的创新是提供一个24/7辅助生活解决方案称为InfoCarePro。InfoCarePro基于非侵入式负载监控（NILM）技术-一种监控物业内电压和电流使用情况的过程，然后使用人工智能（AI）推断正在使用的设备。虽然已经存在一些产品，但InfoCarePro的不同之处在于它强调离散监控，并且不需要用户进行交互。虽然目前的大多数解决方案需要摄像头、运动传感器、智能插头和交互式报警器的组合，但我们利用安装在客户保险丝盒中的单个传感器。该传感器对居民来说是“不可见的”，但将为我们的人工智能（AI）算法提供所有必要的数据，以确定何时发生偏离规范的情况，以及何时需要向家庭成员和医疗保健专业人员发送警报。被护理的个人不需要以任何方式与我们的传感器进行交互（例如，更换电池或记得佩戴吊坠等）然后，我们全面的人工智能算法将能够突出显示正常日常行为的偏差，允许向家庭成员或医疗保健工作者发送警报，指示设备的过度使用或使用不足。这可以识别从烤箱或滚刀被留在比正常更长的时间，以水壶没有被使用的第一件事在早上的偏差。这种类型的日常分析可用于分析长期偏差，这可能表明潜在的严重健康状况。这将允许采取预防性行动，从而减少所需的反应性护理水平，从而减轻我们已经负担过重的NHS的压力。

At Informetis Europe, our goal is to support the more vulnerable and ageing members of our society to enjoy the future more independently within the comfort of their own home. We believe that older adults should not only be able to live independently in an environment that is both safe and familiar to them for as long as they wish, but also that any preventative domiciliary care provided should be as non-intrusive as possible. Our innovation is to offer a 24/7 assisted living solution called InfoCarePro. InfoCarePro is based on Non-Intrusive Load Monitoring (NILM) technology - a process that monitors voltage and current usage within a property and then deduces what appliances are being used using Artificial Intelligence (AI). Although some product offerings already exist, InfoCarePro differs by putting emphasis on discrete monitoring as well as no interaction required from the user. Whilst the majority of the current solutions require some combination of cameras, motion sensors, smart plugs, and interactive alarms, we utilise a single sensor which is installed into the customer's fusebox. This sensor will be "invisible" to the resident, but will provide all the necessary data for our Artificial Intelligence (AI) algorithm to determine when deviations from the norm have occurred and when alerts need to be sent out to family members and healthcare professionals. There is no need for the individual being cared for to interact in any way with our sensor (eg. replacement of batteries or remembering to wear a pendant etc.)Our comprehensive AI algorithms will then be able to highlight deviations in normal routine behaviour, allowing alerts to be sent to family members or health care workers indicating either the overuse or under use of appliances. This can identify deviations ranging from an oven or hob being left on longer than normal to a kettle not being used first thing in the morning. This type of daily routine analysis can then be used to analyse long-term deviations which could be indicative of potential serious health conditions. This would allow for preventative actions to be taken, thereby reducing the levels of reactive care required and in turn alleviating the volume of stress on our already overburdened NHS.