Applications of Computer Vision in Smart Cities. Smart cities employ computer vision technology to revolutionize traffic management, resulting in more efficient and safer road networks. Computer vision cameras monitor traffic flow in real time, providing valuable data on congestion, accidents, and road conditions.
The Most Valuable Computer Vision Smart City Applications (2023 Guide)1. Perimeter monitoring and Person detection2. Detect violent and dangerous Computer Vision in Smart CitiesTop Computer Vision Smart
Can computer vision improve urban and transport policy?
We attempt to highlight the potential role of computer vision in understanding the interactions between the built environment, people and transportation in order to tackle the complexity and nonlinearity of many urban and transport issues for better policy-making and planning safer cities.
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Can deep learning and computer vision be used to understand cities?
In this article, we provide a review of deep learning and computer vision and its application so far in understanding cities.
The article highlights the different types of algorithms of computer vision and their application to cities and their multifaced issues.
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Environment and Energy
The use of machine learning in the smart city makes it possible above all to control pollution by detecting, for example, CO2 emissions.
Other air pollution prediction tools can inform authorities on decisions about reducing pollutant use.
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Is computer vision a new technology?
While computer vision is not new (i.e.
Viola & Jones, 2001 ), deep learning, most specifically Convolutional Neural Networks (CNN), has made it possible for computer vision to tackle various issues and process images more precisely and efficiently ( He et al., 2015; LeCun et al., 2015 ).
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Sanitation and Waste Management
Setting up an urban infrastructure made up of AI-powered robots allows a smart city to improve waste management .
This ranges from sorting and recycling waste, to cleaning the areas concerned (lakes, rivers, etc.
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Security
Another way to harness AI in smart cities is also through security.
To do this, authorities use public data to identify criminals and monitor suspicious behavior.
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Smart Water Management
A smart world also includes the smart use of our most precious resource - water.
In modern processing plants, not only water, but also large amounts of data are processed.
Our smart water solutions use this information and help improve water supply, disposal and use.
Connecting and evaluating different data enables safe and efficient monitoring and.
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Suicide Prevention in Public Spaces
Camera systems can also be used to implement suicide prevention systems in public spaces by analyzing visual features like typical body language movements and recognizing unusual behavior.
CCTV cameras with deep learning smart city applications can be used for assessing crisis behaviors at suicide hotspots such as bus stations.
The main goal is the.
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Traffic
For traffic, the AI infrastructure in a smart city is mainly based on computer vision .
This means the city is leveraging visual data to manage traffic.
The simplest way is, for example, to place cameras in the city to identify areas of congestion in order to reduce traffic and accidents.
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Transport
Some cities use a fleet of vehicles like buses or garbage trucks that scan the streets using cameras and sensors.
This makes it possible to create a 3D map of the city.
This information can be used for maintenance improvements, parking, etc.
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What are the applications of computer vision in cities?
Subjectively, traffic surveillance and intelligent transportation systems hold the largest share of computer vision related applications in cities.
Typical tasks include:
vehicle detection counting overtake detection and traffic incident detection ( Mahmud et al., 2017; Yang & Pun-Cheng, 2018 ). 