Smart cities address the challenges of the present and the future and offer solutions to reduce carbon footprint, reduce costs, improve healthcare, and direct governance and sustainability.
FREMONT, CA: As the population is increasing, solutions to its challenges of dwindling resources, allocation of resources, management of renewable resources, pollution, and quality of life pose short-term and long-term solutions to challenges faced now and in the future. The smart city uses technologies like artificial intelligence, machine learning, deep learning, and the internet of things to encourage sustainability and economic growth and improve city planning.
A smart city integrates technology with people to improve their quality of life.
Artificial Intelligence (AI): The scope of surveillance technology has enhanced security. It can now detect and recognize faces to keep track of unusual activities and identify criminals. To counter potential threats to security like terrorism, AI allows the monitoring of crowds by security cameras. Cameras can also pick up on traffic congestion in areas that require better planning.
Parking: Parking problems have ensued as individuals with their vehicles need help finding free parking areas easily, thereby increasing congestion and poor traffic management. The smart city utilizes sensors and surveillance technologies to create traffic and parking maps. The smart maps identify traffic and available parking spaces to facilitate a more convenient commute.
Waste management system: Cities experience a large volume of waste generated as there is an increase in people moving from rural areas to urban areas. Managing waste becomes a challenge. Sensors in waste bins contribute to a more cost-effective strategy for managing waste. Sensors attached to waste bins can notify officials when they are full, thereby dealing with waste accumulation in manageable quotas.
Machine learning: Machine learning can be applied to healthcare by detecting early signs of diseases. It can track people's activity online and keep track of screen time and activities to gauge mental health. Diagnosis is more advanced. Healthcare professionals receive more data to provide better and more personalized diagnoses of a patient's health.
Deep learning: Deep learning analyzes and predicts data that contributes to modeling and planning smart cities. With deep learning, operators can identify the requirements of smart cities and aid governing. It allows officials to manage resources better. Officials can identify underdeveloped regions to allocate resources more efficiently. Environmental resources are also better managed as deep learning analyzes data regarding the energy consumption of water and electricity.
Internet of things (IoT): Smart cities function on the interconnection of devices and sensors that transfer data over the internet. Officials can use IoT to computerize power grids that control smart devices connected to them from a single location. The IoT helps in environmental conservation. Residents are encouraged to be more environmentally aware by using the latest findings to go green. Sensors detect climatic events to analyze data to predict changes in climate.
