Measuring Human Traffic Flow Across Cities using Doppler Radar

该项目是一项可行性研究，旨在评估各种低成本运动检测模块的可行性，这些模块嵌入在易于部署的小型智能传感器中，作为一种匿名、准确监控人群流量和测量特定地点人群数量的手段。我们将与国家物理实验室合作，设计、测试和开发一种传感器，由尖端的机器学习算法和概率推理建模方法提供支持，能够实现我们雄心勃勃、影响广泛的商业目标。如果成功，对我们的客户和更广泛的城市社会的影响将是巨大的，并将催生一系列新的智慧城市服务。

The project is a feasibility study to assess to viability of various low cost motion detection modules embedded in small easily deployable smart sensors as a means to anonymously and accurately monitor crowd flow and measure crowd numbers across a specified location. We will work in partnership with the National Physical Laboratory to design, test and develop a sensor, supported by cutting edge machine learning algorithms and probabilistic inference modelling methodologies capable of achieving our ambitious and wide reaching business goals. If successful, the impact to our customers and the wider urban society will be dramatic and would enable the creation of a whole host of new smart city services.