“Smart cities” are those that use technology to improve the quality of life of citizens in terms of social, environmental and economic responsibility. On this path of transformation, the city and the community must maintain a continuous commitment to innovation while maintaining a long-term perspective on the current situation.
During these exceptional times, smart city technology will become more vital as cities, municipalities, and utilities look to improve their services while increasing the safety of their residents. Smart city technology will help cities plan for and respond to the next security issue.
Each internet of things development company it is becoming increasingly valuable as connected devices proliferate. Several countries around the world are adopting new technologies more than ever to improve the ecosystems of cities and improve the lives of their citizens. In addition to greenways, parks, and other public open space areas, this area has a variety of residential, commercial, and retail buildings, and government and public sector organizations.
The ultimate goal is to reform public service delivery through a citizen-centric strategy, which will result in greater efficiency and more responsive services that will help achieve equitable development.
Unleashing mainstream thoughts on smart city technologies
When smart city technologies are implemented correctly, they enable more effective service delivery to broaden the demographics of the population. While a truly smart city is built from the bottom up, many cities are increasingly using Internet of Things (IoT) technology to improve public services.
Some believe that the only way to ensure the long-term viability of expanding the planet’s population is to implement scalable smart city technologies. Traffic management, for example, can be achieved through the use of intelligent traffic signals, roadside sensors and connections to future smart cars.
There are a variety of technologies accessible today, and which would be most appropriate for a given city would vary depending on its specific challenges, environmental activities, and the ultimate purpose of the smart city project. One can view these technologies separately or as a unified ecosystem that includes these services. Modern technology makes it possible to do all of this and more with the use of cloud computing, artificial intelligence (AI), Internet of Things (IoT) and Machine Learning (ML).
The potential of Internet of Things devices in smart cities
As a result of their ability to collect data on sewage, air quality, garbage and energy consumption, sensor-enabled Internet of Things devices deployed in smart cities can also help monitor the environmental effect of cities. .
Additionally, linked technology can increase insight and visibility into individual energy and resource use. Temperature controllers connected to the Internet of Things, for example, can decide to turn heating on or off based on fluctuating energy prices.
Using smart Internet of Things water management sensors along with data analysis tools, customers can better understand the amount of water they use. Smart meters, for example, provide more information about consumption and have been shown to save money while conserving natural resources.
Cutting-edge intelligence and adaptability can be achieved using IoT Smart Cities technology, enabling cities to make better use of their resources while improving everything from air and water quality to transportation and energy systems. and communication networks.
The potential of AI and machine learning in smart cities
Artificial intelligence and machine learning are important components of city connectivity. For example, smart sensors installed in our cities to identify, monitor, and categorize cars, pedestrians, and bicycles would certainly improve traffic management in our cities due to their use.
Increased Internet penetration is also critical in the development of smart city platforms, as it enables the establishment of IoT connections, which serve as the foundation for smart city development.
IoT and Machine Learning in Smart Cities
Machine learning capabilities and the Internet of Things are critical components of smart cities. Natural disasters, healthcare, communication, agriculture, and utilities are just a few examples of IoT applications that can be improved by machine learning. All of them can help improve the quality of life of citizens.
-
Public safety in the face of natural disasters
Keeping citizens and workers safe during natural disasters can be difficult for municipalities. Incidents such as storms, floods, fires, and gas leaks are unexpected and, in many cases, difficult to forecast or prepare for in advance. Natural disasters will become more frequent, more severe, and more costly in the coming decades, making safety even more vital soon.
Smart sensors and sophisticated analytics can help communities better anticipate, prepare for, and respond to these types of emergencies. For example, IoT sensors coupled with machine learning (ML) can manage risk and prevent damage, such as air quality sensors, power distribution line sensors, leak detection sensors, and pole tilt sensors. Cities can uncover concerns and influence outcomes during and after natural disasters by using sensors along with predictive analytics.
-
Smart sanitary facilities
The notion of using Internet of Things-based sensor networks for healthcare applications seems to be promising as it could reduce inefficiencies within the current infrastructure. Given the large amount of data that wireless sensor networks powered by the Internet of Things must handle intelligently, a machine learning technique is essential for the effective deployment of IoT-powered wireless sensor networks for this purpose.
Artificial intelligence, IoT and machine learning have a major impact on today’s healthcare environment, whether it’s disease management, early identification of disease, or selecting the right treatment. The provision of better and more individualized health care is possible in the future.
Different machine learning algorithms need to be implemented in smart cities to optimize and increase application performance and provide substantially better results. As a result, sensor networks, the Internet of Things, and machine learning promise to ease the workload of physicians and improve disease detection.
-
Freedom of movement and tranquility
As the world population grows and the demand for resources increases, the number of crimes committed around the world increases. Sometimes police investigations are hampered by problems with surveillance cameras, such as blind areas or poor quality images.
To help police officers tackle crime more efficiently, new technology is starting to become accessible. Using big data and analytics, for example, predictive policing can analyze historical and behavioral data, video streams, and other sources to anticipate when and where crime, other types of public disturbances, and other types of public disorder are most likely to occur. .
Law enforcement organizations are already using facial recognition technologies based on neural networks and machine learning to simplify their jobs. According to McKinsey, cases of burglary, theft, burglary and vehicle assault could be reduced by 30-40% in digitally equipped smart cities.
IoT and machine learning for optimal forecasts are required for smart cities. For example, in smart streets, smart IoT devices will collect and analyze data using machine learning to forecast the amount of traffic on a given street at any given time. Also, smart trash cans are another example of smart IoT sensors being a trap for trash cans; Garbage collection trucks would routinely come to collect garbage cans from bins based on data acquired from sensors, keeping the streets cleaner, greener and smarter.
Conclusion
As a result of current technologies such as artificial intelligence, Internet of Things (IoT) and machine learningthe world is rapidly moving towards comprehensive digitization.
With traffic flow improvements, more efficient trash collection procedures, video monitoring, and infrastructure maintenance schedules, the smart city is a vision for our urban centers that are cleaner, safer, and more affordable for years to come. . Tasks that were previously manual, such as driving a car or cleaning a house, can now be completed automatically with the help of the Internet of Things and machine learning.
About the author: Rachita Nayar
Rachita Nayar is a professional writer. She has a penchant for writing and is involved in many projects around the world. Currently, she works with a blockchain, AI and IoT development company that allows her to explore the domain and further hone her skills by learning about blockchain and spreading knowledge.
Subscribe to our latest newsletter
To read our exclusive content, sign up now. $5/month, $50/year
Categories: Technology
Source: vtt.edu.vn