Singapore as a smart city/nation: Singapore its the world’s third most densely populated nation, and it isn't only a smart city, also it's a smart nation, world's first smart nation.Singapore is deploying an undetermined number of sensors and cameras across the island city-state that will allow the government to monitor everything from the cleanliness of public spaces to the density of crowds and the precise movement of every locally registered vehicle.It is a sweeping effort that will likely touch the lives of every single resident in the country, in ways that aren’t completely clear since many potential applications may not be known until the system is fully implemented. Already, for instance, authorities are developing or using systems that can tell when people are smoking in prohibited zones or littering from high-rise housing. But the data collected in this next phase—and how it’s used—will go far beyond that.Much of the data will be fed into an online platform, dubbed Virtual Singapore, that will give the government an unprecedented look into how the country is functioning in real time, allowing them to predict, for example, how infectious diseases might spread or how crowds could react to an explosion in a shopping mall. The government also plans to share data, in some cases, with the private sector.
Crystal ball in Singapore: The centerpiece of Singapore’s effort is a kind of digital crystal ball that acts as a superpowered, X-ray version of Google Maps. Sensor data will be fed into this system, which will store exact dimensions of buildings, placement of windows and types of construction materials used. The system is being built by the government’s National Research Foundation, in coordination with private-sector firms, universities and other government departments. The government has already published a 2-D online map of Singapore that allows the public to see current closed-circuit TV footage, check flooding levels and monitor open spaces in parking lots. Officials say the data-packed map will help them better decide where to reroute buses based on where riders are gathering. It could also be used to model how new skyscrapers might affect wind-flow patterns or telecommunications signals, or map the potential spread of infectious diseases into buildings. When such huge volumes of data are collected and cross-referenced, experts say, applications emerge that are difficult to imagine until the material is available in the first place.