Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Levels of Use of a GIS

Levels of Use of a GIS

Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...

Applications of GIS: Disaster Management and Emergency Response

Applications of GIS: Disaster Management and Emergency Response

Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...

GIS Software, Hardware, and Sources of GIS Data

GIS Software, Hardware, and Sources of GIS Data

A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...

Manipulation and Analysis

Manipulation and Analysis

GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...

Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

Introduction to GIS

Introduction to GIS

Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

An Efficient Combination of Convolutional Neural Network and LightGBM Algorithm for Lung Cancer Histopathology Classification.

Diagnostics (Basel, Switzerland)·2023

Same author

A Generalized Laser Simulator Algorithm for Mobile Robot Path Planning with Obstacle Avoidance.

Sensors (Basel, Switzerland)·2022

Same author

An ML-Enabled Internet of Things Framework for Early Detection of Heart Disease.

BioMed research international·2022

Same author

Liver Tumor Segmentation in CT Scans Using Modified SegNet.

Sensors (Basel, Switzerland)·2020

Search research articles

Related Experiment Video

Updated: Nov 3, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

Horizontal Review on Video Surveillance for Smart Cities: Edge Devices, Applications, Datasets, and Future Trends.

Mostafa Ahmed Ezzat¹, Mohamed A Abd El Ghany^2,3, Sultan Almotairi⁴

¹Faculty of Media Engineering and Technology, German University in Cairo, Cairo 11511, Egypt.

Sensors (Basel, Switzerland)

|June 2, 2021

Summary

Smart cities use Internet of Things (IoT) systems for automation. This review covers IoT video surveillance, algorithms, datasets, and embedded systems for edge vision computing, addressing future trends and challenges.

Keywords:

IOT computer vision smart city surveillance

More Related Videos

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

Biomechanical Changes Related to Low Back Pain: An Innovative Tool for Movement Pattern Assessment and Treatment Evaluation in Rehabilitation

Biomechanical Changes Related to Low Back Pain: An Innovative Tool for Movement Pattern Assessment and Treatment Evaluation in Rehabilitation

Published on: December 13, 2024

Related Experiment Videos

Last Updated: Nov 3, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

Biomechanical Changes Related to Low Back Pain: An Innovative Tool for Movement Pattern Assessment and Treatment Evaluation in Rehabilitation

Biomechanical Changes Related to Low Back Pain: An Innovative Tool for Movement Pattern Assessment and Treatment Evaluation in Rehabilitation

Published on: December 13, 2024

Area of Science:

Computer Science
Electrical Engineering
Urban Planning

Background:

Smart cities leverage Internet of Things (IoT) systems for data-driven automation and insights.
Existing reviews lack a comprehensive analysis of IoT video surveillance, algorithms, datasets, and embedded systems in smart cities.
Edge vision computing is crucial for real-time data processing in smart city applications.

Purpose of the Study:

To address the identified gap by providing a holistic review of IoT applications in smart city automation.
To discuss the latest advancements in algorithms, datasets, and embedded systems for edge vision computing.
To outline future trends and challenges in smart city IoT systems.

Main Methods:

Literature review focusing on recent advancements in IoT, video surveillance, algorithms, datasets, and embedded systems.
Analysis of current datasets and algorithms relevant to smart city video analytics.
Exploration of emerging embedded systems for edge computing in smart city contexts.

Main Results:

Identification of key datasets and algorithms driving smart city video surveillance.
Overview of recent progress in embedded systems enabling edge vision computing.
Synthesis of current research landscape and technological capabilities.

Conclusions:

A comprehensive understanding of the four key pillars (video surveillance, algorithms, datasets, embedded systems) is essential for smart city automation.
Edge vision computing represents a significant advancement for efficient data processing.
Further research is needed to address future trends and overcome existing challenges in smart city IoT.