Smart cities are about enhancing urban life by adding intelligence to every building, vehicle and lamp-post. When every object in a city is connected to the cloud, data can be analyzed constantly to make every process, from traffic management to refuse collection, more efficient and automated. This reduces cost and waste, and provides businesses and citizens with information and high value services.
However, there are significant challenges to connect every object cost-effectively and with the high reliability that some critical services, like surveillance, require. Cities are challenging environments with canyons where wireless signals cannot reach, and rapidly moving vehicles. The strain on connectivity is only exacerbated when data has to travel to a distant cloud server to be analyzed.
The best solution is to employ Veea’s smart city hubs to deliver intelligence and functionality to the edge. These provide cloud computing and storage capabilities locally, reducing the connectivity burden, and supporting near-real time response for applications like intelligent transport management. They also improve the reliability of the connectivity itself, by supporting multiple wireless protocols, and a mesh configuration which enables traffic to sent on the best of many routes around the city.
VeeaHub greatly improves the reliability and coverage of wireless connectivity, by using a self-healing mesh topology – signals and packets are sent automatically over the best route available at any one time. The VeeaHub can support most wireless protocols, and therefore enables a wide range of devices from low power sensors to smartphones.
Our solution is affordable to deploy and greatly reduces data transmission costs because most data does not need to be sent beyond the city or neighbourhood. An open software platform enables cities to develop, deploy and upgrade applications affordably using standard tools.
Many services envisaged for smart cities rely on low latency so that data can be analyzed, and decisions made, very quickly. Examples include analytics for video footage from security cameras; real time transport or city information displays; citizen services based on virtual reality.
The fast response times required for these applications are best enabled by keeping cloud computing resources local with VeeaHubs. Applications can receive data more quickly if sources, such as cameras, are close by, and can then apply analytics more rapidly. Only a subset of data needs to be aggregated in the central cloud, reducing connectivity time and cost.
One of the most central services to smart cities relate to intelligent transport, which is desirable to reduce congestion, pollution and to increase productivity. Many applications are involved, all of them relying on constant streams of data from large numbers of elements, including rapidly moving vehicles.
VeeaHub delivers the ultra-reliable connectivity and very rapid response times essential to support applications such as traffic routing, smart parking, real time navigation and alerts, or semi-autonomous vehicles.
Other emerging city services rely on connecting vast numbers of sensors to improve understanding of core activities, such as energy usage or refuse disposal. That will enable better planning and more efficient, cost-effective services in future. However, the sheer numbers of devices involved can incur heavy costs, if all the data has to be transmitted to a distant cloud.
Aggregating data from sensors in a local area to a Veea Hub, complete with edge computing capabilities to support analytics, saves a significant amount of cost and time.
Combining all these systems and services within a common smart city platform is to improve the quality of urban life; business productivity and facilities; security, efficiency and environment.
Implementing a series of affordable, easily manageable Veea Hubs gives a city control over all its processes, and the ability to add new services as required via an open software platform. Most importantly, it allows all the data from the rising number of connected objects, people and sensors to be managed and analyzed with optimal efficiency, supporting very rapid and intelligent decisions.
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