Our cities are at the center of the climate change crisis. Global emission reports suggest that cities are responsible for most of the emission of pollutant gases and also owing to a huge population and urban lifestyle, the services responsible for supporting the urban population are also responsible for maximum amounts of pollution. Thus, we should try to change our cities if we want to address the problem of climate change and global warming.
We, have to look for alternative cleaner fuels, sustainable production methods and tap unconventional energy resources while at the same time reducing pressure on the ecology by getting rid of pollutants efficiently and seeking eco-friendly construction, transportation, and consumption methods.
The concept of smart cities!
There is no particular way of defining smart cities. It varies from country to country and people to people and depends on resources, economy, and most importantly the willingness to change or reform. However, the concept can be visualized through some key points:
• Imagine a city that can accurately calculate its carbon footprint. Thus, it can efficiently target the chief sources of pollution and greenhouse gases.
• A smart city is a city that runs on the principle of minimum wastage.
• A smart city should implement modern technological solutions be it for e-governance or be it for sustainable development models.
• A smart city should be able to provide all the necessary amnesties to its citizens in an efficient manner. Sectors like security, banking, healthcare, and education should not suffer from traditional problems.
How AI and Machine Learning help in turning cities smarter!
AI and its advanced cousin Machine Learning are extremely useful in seeking smart technological solutions. Artificial intelligence helps make machines smarter which helps in saving precious time and resources. It is also essential in the automation of different processes. At the same time, Machine Learning allows machines to develop through data and work with minimum or no human intervention. Thus, both AI and ML can be highly beneficial in making cities smarter. Here are some instances:
• Waste management
Remote monitoring of waste management is vital in checking bad waste and preventing spillage. Moreover, if waste is to be reduced then proper guidance, timely alerts, and implementation of strict rules are required. This is only possible through the efficient use of AI. Additionally, IoT devices can be used to gather data from various points of origin- domestic or industrial and based on that data ML model can be trained. This, later on, can be utilized to provide remote assistants, alerts, and remote monitoring. Municipality officials thus can keep track of the system in real-time and take necessary steps.
• Traffic and transport
Vehicular emission is one of the largest sources of greenhouse gases. Cities also suffer from traffic congestion and noise pollution due to inefficient traffic and transport management. Interestingly, it has been observed that cities fail to properly utilize their roadways which adds to the woes of both citizens and authorities. AI can solve such problems efficiently. Many modern cities like Singapore are already using AI to efficiently manage traffic and also helped in reducing accidents. Based on AI or ML a robust system can be built which will be able to alert, increase awareness and if needed penalize rule-breakers.
• Keeping track of pollution
One important feature of smart cities is that they should be able to accurately calculate their carbon footprint and take necessary measures accordingly. AI coupled with IoT devices can help do that. IoT devices can collect data from all the possible sources of pollution while AI or ML systems can access that quickly and do all the necessary calculations in real-time!
• Help in the search for greener alternatives!
Greener or cleaner alternatives are necessary for sustainable development. Be it for the replacement of fossil fuels or replacement of plastics and other pollution-causing things. However, research and development of such greener alternatives are painstakingly slow. AI and ML systems can greatly reduce time to a great extent!
Apart from the above instances, AI and machine learning is already being utilized in security, banking, infrastructure management, healthcare, and education in many cities across the globe, turning such cities smarter. However, there exists a talent gap and although the demand for AI or ML experts is very high, there is a lack of skilled individuals. Thus, if you are interested in sophisticated technology, want to combat the climate change crisis, and build a strong career at the same time then you must go for an AI and Machine learning certification course!