Opportunities, Applications, and Challenges of Edge-AI Enabled Video Analytics in Smart Cities: A Systematic Review

Badidi, Elarbi; Moumane, Karima; Ghazi, Firdaous El

doi:10.1109/access.2023.3300658

Cited by 17 publications

(2 citation statements)

References 149 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Video analysis in smart cities is very useful when deploying various systems and investigating their performance. A description of the technologies used for video analysis in smart cities can be found in [30]. With the help of this analysis, various situations have been studied, including traffic control and monitoring, security, and entertainment.…”

Section: Related Workmentioning

confidence: 99%

UHD Database Focus on Smart Cities and Smart Transport

Sevcik,

Uhrina,

Frnda

2024

Electronics

View full text Add to dashboard Cite

“Smart city” refers to a modern solution to organizing a city’s services, using cloud technologies to collect and evaluate large amounts of data, including data from camera systems. Smart city management covers several areas that can be implemented separately, but only their combination can realize the overall desired smart city function. One of the core areas of smart city automation is smart city transport. Transportation is a crucial system in any city, and this is why it needs to be monitored. The primary objective of this publication is to generate top-notch 4K UHD video sequences that are solely dedicated to showcasing smart cities and their transportation systems. The resulting comprehensive database will be made accessible to all professionals in the field, who can utilize it for extensive research purposes. Additionally, all the reference video sequences will be transcoded into various quality settings by altering critical parameters like the resolution, compression standard, and bit rate. The ultimate aim is to determine the best combination of video parameters and their respective settings based on the measured values. This in-depth evaluation will ensure that each video sequence is of the highest quality and provides an unparalleled experience for the service providers offering the service. The video sequences captured will be analyzed for quality assessments in smart cities or smart transport technologies. The database will also include objective and subjective ratings, along with information about the dynamics determined by spatial and temporal information. This will enable a comparison of the subjective evaluation of a selected sample of our respondents with the work of other researchers, who may evaluate it with a different sample of evaluators. The assumption of our future research is to predict the subjective quality based on the type of sequence determined by its dynamicity.

show abstract

Section: Related Workmentioning

confidence: 99%

UHD Database Focus on Smart Cities and Smart Transport

Sevcik,

Uhrina,

Frnda

2024

Electronics

View full text Add to dashboard Cite

show abstract

“…Real-time video analytics, in particular, is regarded as one of the killer applications for edge computing 10 , and when combined with artificial intelligence, it becomes a core component of the emerging field of edge intelligence 11 . In the context of smart cities, video analytics forms the basis for numerous applications, including surveillance and security, traffic control, and monitoring city infrastructure and environmental conditions (e.g., rivers and slopes).…”

Section: Related Workmentioning

confidence: 99%

Repurposing of TV Boxes for a Circular Economy in Smart Cities Applications

Luz,

Sato,

Gonzalez

et al. 2024

Preprint

View full text Add to dashboard Cite

In recent years, large quantities of illegal TV Box equipment have been confiscated in Brazil. According to news released in March 2024, an estimated 2.5 million TV Boxes were stored in the warehouses of the Federal Revenue Service. Typically, this equipment is destroyed, which not only incurs significant costs for the government but also generates substantial e-waste. Meanwhile, the advancement of smart city applications based on the Internet of Things (IoT) and machine learning has driven research in edge computing using hardware-constrained devices. This paper explores the feasibility of repurposing TV Boxes for edge computing in applications involving people counting in images collected by cameras. We developed a testbed consisting of 20 TV boxes to conduct a thorough evaluation of their resilience and carbon footprint compared to commonly used edge computing equipment. Our findings demonstrate that these repurposed devices can perform over five million inferences, outperforming commercially available devices in terms of carbon footprint using Brazilian energy matrix. This study underscores the innovative potential and environmental benefits of repurposing TV Boxes for smart city applications, especially when utilizing lightweight machine learning models.

show abstract

Towards Smarter, Interconnected Futures: The Crucial Role of Data in Cyber-Physical Systems

Pannerselvam,

Rajiakodi

2024

Intelligent Cyber-Physical Systems for Healthcare Solutions

View full text Add to dashboard Cite

Opportunities, Applications, and Challenges of Edge-AI Enabled Video Analytics in Smart Cities: A Systematic Review

Cited by 17 publications

References 149 publications

UHD Database Focus on Smart Cities and Smart Transport

UHD Database Focus on Smart Cities and Smart Transport

Repurposing of TV Boxes for a Circular Economy in Smart Cities Applications

Towards Smarter, Interconnected Futures: The Crucial Role of Data in Cyber-Physical Systems

Contact Info

Product

Resources

About