As per the international organization reports, globally more than fifty percent population is living in urban areas, and by 2050, more than two-third population will live in cities providing big investment opportunities of tech development companies.

As per the International Data Corporation report, by 2021, the spending on smart cities likely to reach more than $130 billion to make the urban areas and cities more livable with advance infrastructural facilities and society management system.

AI in smart cities is going to play big role in making urbanization smarter aim to be sustainable growth making the cities equipped with advance features to live, walk, shop and enjoy a safe and more convenient life in such environment.

Actually, while developing cities to make smart, several challenges like administration, sanitation, traffic congestion, security surveillance, parking management and many more that AI can help to provide a sustainable solution to habitants.


The use of artificial intelligence in smart cities can be life changing if implemented in the right spaces. There are multiple zones in cities or in urban development where AI can be used to improve the performance and efficiency of system.

Also Read: What Is Computer Vision: How It Works in Machine Learning and AI?

Advance Security Camera & Surveillance System

AI-enabled cameras and sensors can keep an eye on surroundings to enhance the security level in the city’s neighborhoods. Such cameras can recognize the people and their faces or track the unusual activities done by them at restricted areas.

Security surveillance

High-resolution AI security camera system can track the movement of all registered vehicles and can monitor crowd density and cleanliness of public spaces round-the-clock. And thanks to the historic data available from different departments of the city, police can predict category and intensity of crimes monitoring all such activities in a particular area.

Vehicle Parking and Traffic Management System

In cities most of the people have their own cars and also there is huge movement of commercial vehicles to transport people as well as goods. So, parking of such vehicles and traffic management is another space where AI can help.

Using the road surface sensors or CCTV cameras incorporated into parking spots allow cities to create a real-time parking and traffic maps, helping drivers to save their time by avoid waiting to find an empty space to move smoothly or be in traffic.

AI-supported traffic sensor systems can use cameras to collect real time data of vehicles on road, and send it to a control centre, which collates the data fed from other points and adjusts the signal timings to ensure smooth flow of vehicles.

Smart transportation also includes public sector, and thanks to AI, there are lots of opportunities for improvement of public transit. And now cab services like Uber are also using AI to give a better riding experience to its customers.

Autonomous Flying Objects for Ariel View Monitoring

AI-enabled drones or autonomous flying similar objects can be used to monitor the inner-city and houses or other concerning areas. The in-built cameras in drones help to provide the real-time visuals of the different locations where humans cannot reach easily or quickly helping administration and security departments to take timely actions.

Autonomous flying drones can track humans, monitor traffic movement and provide the 2D aerial view imagery mapping for better urbanization of cities. It can be used for advance security and surveillance for security departments and crime squad.

Also Read: How to Improve Computer Vision in AI Drones Using Image Annotation Services?

Face Detection Cameras and Movement for Public Safety

AI in face recognition technology is capable to detect the different people from their faces disclosing their personal identities. AI in security cameras or drones can recognize the human faces and match with the database to trace his identity and authenticate the person entering in the cities, societies and other restricted areas.

Face Detection

Landmarking annotation is the technique used to train the AI-based model in face recognition system. And to make cities smart, such high-level of face detection technology is necessary to make the surroundings more safe and private.

Smart Waste Management and Disposal System

People living in cities produce huge amount of waste that is another challenge for the urban management to find the right way of managing garbage and keep environment clean to maintain the hygiene level in the society. AI-enabled cameras can detect trash thrown on the street and recognize the types of garbage for categorization.

But AI-enabled installing sensors on waste bins can make waste collection more efficient. Authorities can receive notifications when the bins are about to be filled and ensure reducing of operational costs by eliminating unnecessary pickups, providing dynamic collection routes and schedules for optimization of waste management.

Better Governance and Planning Management

While developing the cities or urban townships, AI or machine learning techniques can be used to map land use across time to generate crucial insights using the satellite imagery and aerial view 2D or 3D images of geographical areas.

Also Read: What are the various Types of Data Sets used in Machine Learning?

The algorithms trained through machine learning can analyze satellite images for city planning and development with scope to adjust the formation based on changing data, areas prone to calamities like flooding, earthquake and storms. Such real-time as well as historical data can continuously be monitored to enable the better governance.


AI in smart cities development can play a crucial role in urban planning, development and management with advance security system, traffic monitoring and disposal management to make the societies more secured and livable with access and control of their home and other activities making their living experience more enjoy and comfortable.

And to develop the AI-enabled systems for smart city development, machine learning and AI companies need huge amount of training data for smart cities to train the models like drones, AI security camera and face recognition system to work with accurately and provide the correct information making the smart cities really smart for sustainable growth.

And Cogito can provide such training data sets to train the AI and machine learning system can be used for smart city development. It is actually involved in data labeling job with expertise in image annotation services to annotate the object of interest in images to make it recognizable to machines through computer vision technology.

Also Read: How Computer Vision Can Improve Accuracy of Diagnosis in Medical Imaging Analysis?

Cogito works with advanced data labeling systems complying all the data security and protection standards like to make sure provide the high-quality training data sets produced in highly secured and protected environment helping machine learning developers to build successful and most reliable AI models at low-cost.

Also Read: Why Outsourcing Your Data Annotation Needs to GDPR, CCPA or SOC Type Compliant Companies?

Share this :