Current and emerging trends in the use of AI for community surveillance

Nelson Salgado ,Jaime Meza ,Monica Vaca-Cardenas ,Leticia Vaca-Cardenas

doi:10.24294/jipd.v8i8.6135

Home - JIPD - Volume 8 - Issue 8

Submit to JIPD

Journal Browser

Volume | Year

Issue

• Current lssue

View All

News and Announcements

View All

Current and emerging trends in the use of AI for community surveillance

Nelson Salgado

Jaime Meza

Monica Vaca-Cardenas

Leticia Vaca-Cardenas

Journal of Infrastructure Policy and Development 2024, 8(8), 6135; https://doi.org/10.24294/jipd.v8i8.6135

Submitted：30 Apr 2024

Accepted：12 Jun 2024

Published：23 Aug 2024

Download PDF(439.88KB)

XML

Abstract

This study conducted a systematic literature review on current and emerging trends in the use of artificial intelligence (AI) for community surveillance, using the PRISMA methodology and the paifal.ai tool for the selection and analysis of relevant sources. Five main thematic areas were identified: AI technologies, specific applications, societal impact, regulations and public policy. Our findings revealed exponential growth in the development and implementation of AI technologies, with applications ranging from public safety to environmental monitoring. However, this advancement poses significant challenges related to privacy, ethics and governance, driving a debate on the need for appropriate regulations. The analysis also highlighted the disparity in the adoption of these technologies among different communities, suggesting a need for inclusive policies to ensure equitable benefits. This study contributes to the understanding of the current scenario of AI in community policing, providing a solid foundation for future research and developments in the field.

Keywords

References

Alhimale, L., Zedan, H., & Al-Bayatti, A. (2014). The implementation of an intelligent and video-based fall detection system using a neural network. Applied Soft Computing, 18, 59–69. https://doi.org/10.1016/j.asoc.2014.01.024

Banciu, D., & Cirnu, C. E. (2022). AI Ethics and Data Privacy compliance. In: Proceedings of the 2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). https://doi.org/10.1109/ecai54874.2022.9847510

Bali, A., & Bali, N. (2022). Role of artificial intelligence in fast-track drug discovery and vaccine development for COVID-19. In: Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19. Academic Press. pp. 201–229. https://doi

Bayerl, P. S., Bates, L., & Akhgar, B. (2023). Securing the Smart City: Patterns of Public Acceptance for Integrated Technological Solutions. In: Proceedings of the 2023 IEEE International Smart Cities Conference (ISC2). https://doi.org/10.1109/isc257844.

Borah, J., Sarma, K. K., & Gohain, P. J. (2019). All Pervasive Surveillance Techniques and AI-Based Applications. Advances in Multimedia and Interactive Technologies, 54–82. https://doi.org/10.4018/978-1-5225-7811-6.ch004

Brown, S. (2020). The use of drones equipped with AI technology in urban surveillance: challenges and opportunities. Journal of Urban Technology, 12(2), 89–103.

Butt, U. M., Letchmunan, S., Hassan, F. H., et al. (2021). Spatio-Temporal Crime Predictions by Leveraging Artificial Intelligence for Citizens Security in Smart Cities. IEEE Access, 9, 47516–47529. https://doi.org/10.1109/access.2021.3068306

Cafiel, H. (2023). Artificial Intelligence applications for safe cities. Available online: https://ebenezertechs.com/inteligencia-artificial-para-ciudades-seguras/ (accessed on 3 April 2024).

Chakrabarty, S., & Engels, D. W. (2020). Secure Smart Cities Framework Using IoT and AI. In: Proceedings of the 2020 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT). https://doi.org/10.1109/gcaiot51063.2020.9345912

Chamikara, M. A. P., Bertok, P., Khalil, I., et al. (2020). Privacy Preserving Face Recognition Utilizing Differential Privacy. Computers & Security, 97, 101951. https://doi.org/10.1016/j.cose.2020.101951

Chang, V. (2021). An ethical framework for big data and smart cities. Technological Forecasting and Social Change, 165, 120559. https://doi.org/10.1016/j.techfore.2020.120559

Cousido-Gonzalez, M., & Palacios-Alonso, D. (2022). Artificial Intelligence serving National Security: The Spanish case. In: Proceedings of the 2022 11th Mediterranean Conference on Embedded Computing (MECO). https://doi.org/10.1109/meco55406.2022.9797172

Dakalbab, F., Abu Talib, M., Abu Waraga, O., et al. (2022). Artificial intelligence & crime prediction: A systematic literature review. Social Sciences & Humanities Open, 6(1), 100342. https://doi.org/10.1016/j.ssaho.2022.100342

dialoguemos.ec. (2023). dialoguemos.ec. Available online: https://dialoguemos.ec/2023/12/inseguridad-ciudadana-ecuador-ocupa-el-quinto-lugar-en-el-mundo-con-esa-percepcion/ (accessed on 1 February 2024).

Dworzecki, J., & Nowicka, I. (2021). Artificial intelligence (AI) and ICT-enhanced solutions in the activities of police formations in Poland. Advanced Sciences and Technologies for Security Applications. https://doi.org/10.1007/978-3-030-88972-2

Eldrandaly, K. A., Abdel-Basset, M., & Abdel-Fatah, L. (2019). PTZ-Surveillance coverage based on artificial intelligence for smart cities. International Journal of Information Management, 49, 520–532. https://doi.org/10.1016/j.ijinfomgt.2019.04.01

Fadhel, M. A., Duhaim, A. M., Saihood, A., et al. (2024). Comprehensive systematic review of information fusion methods in smart cities and urban environments. Information Fusion, 107, 102317. https://doi.org/10.1016/j.inffus.2024.102317

Gallup. (2023). Global Law and Order Report. Washington: Gallup, Inc.

García, A. (2021). Ethical impact of AI-driven facial recognition on citizen surveillance. Revista de Ética y Tecnología, 8(2), 45–57.

Ghoniem, N., Hesham, S., Fares, S., et al. (2021). Intelligent Surveillance Systems for Smart Cities: A Systematic Literature Review. Smart Systems: Innovations in Computing. Singapore: Springer. https://doi.org/10.1007/978-981-16-2877-1_14

GI-TOC. (2023). Global Organized Crime Index 2023 (Spanish). Ginebra: Global Initiative Against Transnational Organized Crime.

Gkogkos, G., Patsonakis, C., Drosou, A., et al. (2023). A DLT-based framework for secure IoT infrastructure in smart communities. Technology in Society, 74, 102329. https://doi.org/10.1016/j.techsoc.2023.102329

Gohari, A., Ahmad, A. B., Rahim, R. B. A., et al. (2022). Involvement of Surveillance Drones in Smart Cities: A Systematic Review. IEEE Access, 10, 56611–56628. https://doi.org/10.1109/access.2022.3177904

Gómez, J., Hernández, V., & Cobo, L. (2015). Urban Security System Based on Quadrants. Procedia Computer Science, 52, 636–640. https://doi.org/10.1016/j.procs.2015.05.063

Houichi, M., Jaidi, F., & Bouhoula, A. (2022). Analysis of Smart Cities Security: Challenges and Advancements. In: Proceedings of the 15th International Conference on Security of Information and Networks (SIN). https://doi.org/10.1109/sin56466.2022.997049

INEGI. (2023). National Urban Public Safety Survey. First quarter of 2023. Ciudad de México: INEGI.

INVAMERS.A.S. (2023). Encuesta Invamer. Bogotá: INVAMERS.A.S.

Johnson, K., & Reyes, C. (2021). Exploring the implications of artificial intelligence. J. Int. Comp. L, 8(315).

Jones, R. (2019). The role of AI-driven video analytics in community safety. Journal of Community Safety, 15(3), 112–125.

Kavitha, A. R., & Gayathri, A. (2022). Human Gait Recognition Systems (HGRS) for Viewpoint Variation in Visual Surveillance System Using Siamese Deep Convolutional Neural Network (SDCNN). In: Proceedings of the International Conference on Data Science, Ag

Kuzior, A., Postrzednik-Lotko, K., & Pradela, J. (2023). Social Challenges Resulting from the Implementation of Technical Solutions in Smart Cities. In: Proceedings of the 2023 International Conference on Computer and Applications (ICCA). https://doi.org/

Laufs, J., Borrion, H., & Bradford, B. (2020). Security and the smart city: A systematic review. Sustainable Cities and Society, 55, 102023. https://doi.org/10.1016/j.scs.2020.102023

Martínez, L. (2022). Integrating data for a holistic view of community safety: a big data approach. Journal of Security Analytics, 7(1), 28–41.

Martinez-Balleste, A., Perez-Martinez, P., & Solanas, A. (2013). The pursuit of citizens privacy: a privacy-aware smart city is possible. IEEE Commun. Mag, 51, 136–141. https://doi.org/10.1109/MCOM.2013.6525606

Masakowski, Y. R. (2020). Artificial Intelligence and Global Security. Publishing Limited, Leeds. https://doi.org/10.1108/978-1-78973-811-720201013

Miller, T. (2019). Explanation in artificial intelligence: Insights from the social sciences. Artificial Intelligence, 267, 1–38. https://doi.org/10.1016/j.artint.2018.07.007

Mkhinini, M. M., Sidibe, A. S., Benali, K., et al. (2023). Image and Signal processing to detect violent content in social media videos. In: Proceedings of the 2023 15th International Conference on Machine Learning and Computing. https://doi.org/10.1145/3

Mohamed, N., Upadhyay, R., Jakka, G., et al. (2023). Framework for the Deployment of Intelligent Smart Cities (ISC) using Artificial Intelligence and Software Networking Technologies. In: Proceedings of the 2023 3rd International Conference on Advance Com

Muhammad, K., Obaidat, M. S., Hussain, T., et al. (2021). Fuzzy Logic in Surveillance Big Video Data Analysis: Comprehensive Review, Challenges, and Research Directions. ACM Computing Surveys, 54(3), 1–33. https://doi.org/10.1145/3444693

Navaneethakrishnan, M., Kalaiyarasi, R., Mohanaprakash, T. A., et al. (2023). (WoExP)Women Express-Artificial Intelligence based women security and Safety System. In: Proceedings of the 2023 International Conference on Inventive Computation Technologies (

Ndrejaj, A., & Ali, M. (2022). Artificial Intelligence Governance: A Study on the Ethical and Security Issues that Arise. In: Proceedings of the 2022 International Conference on Computing, Electronics & Communications Engineering (ICCECE). https://doi.org

Nguyen, M. T., Truong, L. H., Tran, T. T., et al. (2020). Artificial Intelligence based data processing algorithm for video surveillance to empower industry 3.5. Computers & Industrial Engineering, 148, 106671. https://doi.org/10.1016/j.cie.2020.106671

OCDE. (2021). How COVID-19 will transform science, technology and innovation? Available online: https://www.oecd.org/coronavirus/policy-responses/como-el-covid-19-transformara-la-ciencia-la-tecnologia-y-la-innovacion-047e3689/ (accessed on 10 January 2024

Olmos, R., Tabik, S., Lamas, A., et al. (2019). A binocular image fusion approach for minimizing false positives in handgun detection with deep learning. Information Fusion, 49, 271–280. https://doi.org/10.1016/j.inffus.2018.11.015

Page, M. J., McKenzie, J. E., Bossuyt, P. M., et al. (2021). PRISMA 2020 statement: an updated guide for the publication of systematic reviews. Revista Española de Cardiología, 74(9), 790–799. https://doi.org/10.1016/j.recesp.2021.06.016

Park, Y., & Jones-Jang, S. (2022). Surveillance, security, and AI as technological acceptance. AI Soc, 38, 1–12. https://doi.org/10.1007/S00146-021-01331-9

Pazho, A. D, Neff, C., Noghre, G. A., et al. (2023). Ancilia: Scalable Intelligent Video Surveillance for the Artificial Intelligence of Things. IEEE Internet of Things Journal, 10(17), 14940–14951. https://doi.org/10.1109/jiot.2023.3263725

PS&Market Research. (2024). Available online: https://cuadernosdeseguridad.com/2018/07/el-mercado-de-la-videovigilancia-ip-experimentara-un-crecimiento-de-dos-digitos/ (accessed on 10 December 2023).

Rothkrantz, L. (2017). Lip-reading by surveillance cameras. In: Proceedings of the 2017 Smart City Symposium Prague (SCSP). https://doi.org/10.1109/scsp.2017.7973348

Schoenherr, J. R. (2020). Understanding Surveillance Societies: Social Cognition and the Adoption of Surveillance Technologies. In: Proceedings of the 2020 IEEE International Symposium on Technology and Society (ISTAS). https://doi.org/10.1109/istas50296.

Sharma, P., Bamini, J., Vijayalakshmi, S., et al. (2023). Exploring the Implications of IoT Integration in Urban Infrastructures for Sustainable Smart Cities. In: Proceedings of the 2023 International Conference on Data Science, Agents & Artificial Intell

Singh, G., Tripathi, A., Pandey, A. B., et al. (2021). IoT Based System for Smart Policing in India. In: Proceedings of the 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT). https://doi.org/10.1109/icccnt5

Smith, J. (2020). Artificial intelligence applications in crime prevention and predictive analytics: a critical review. International Journal of Crime Prevention and Community Safety, 18(4), 211–225.

Soto, M. E., Riega-Viru, Y., & Oruna Lara, J. C. (2021). Technology and crime prevention: A systematic review of literature. In: Proceedings of the Fifth World Conference on Smart Trends in Systems Security and Sustainability (WorldS4). https://doi.org/10

Sumathi, R. (2022). Artificial Intelligence in Smart City Applications: An overview. In: Proceedings of the 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS). https://doi.org/10.1109/iciccs53718.2022.9788152

Tebes, G., Peppino, D., Becker, P., & Olsina, L. (2020). Process for Systematic Literature Review and Mapping. EJS, 19(2), 94–118.

Thirumalai, R., Sursh Babu, S., Sharan, K. T., et al. (2019). Smart City and Security Issues-IoT Prespectives. In: Proceedings of the 3rd International Conference on Computing Methodologies and Communication (ICCMC). https://doi.org/10.1109/iccmc.2019.881

Torfason, I., & Thor, H. (2024). The strategic use of AI in the public sector: A public values analysis of national AI strategies. Government Information Quarterly, 41(1), 101914. https://doi.org/10.1016/j.giq.2024.101914

Wang, Y., Ma, Z., Fang, H., et al. (2021). Pedestrian Recognition System for Smart Security Robot using Pedestrian Re-identification Algorithm. In: Proceedings of the 2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEA

Xia, L., Semirumi, D., & Rezaei, R. (2023). A thorough examination of smart city applications: Exploring challenges and solutions throughout the life cycle with emphasis on safeguarding citizen privacy. Sustainable Cities and Society, 98. https://doi.org/10.1016/j.scs.2023.10477

Yao, S., Ardabili, B. R., Danesh Pazho, A., et al. (2023). Real-World Community-in-the-Loop Smart Video Surveillance System. In: Proceedings of the IEEE International Conference on Smart Computing (SMARTCOMP). https://doi.org/10.1109/smartcomp58114.2023.00041

Završnik, A. (2016). Introduction: Situating Drones in Surveillance Societies. In: Drones and Unmanned Aerial Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-23760-2_1

Zhang, C. (2021). Intelligent Internet of things service based on artificial intelligence technology. In: Proceedings of the 2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE). https://doi.org/10.1109/icbaie52039.2021.9390061

Zhao, X., Wang, N., Han, R., et al. (2018). Urban infrastructure safety system based on mobile crowdsensing. International Journal of Disaster Risk Reduction, 27, 427–438. https://doi.org/10.1016/j.ijdrr.2017.11.004

Previous
article in this issue

Next
article in this issue