Smart City Gnosys
Smart city article details
| Title | Artificial Intelligence Techniques In Smart Cities Surveillance Using Uavs: A Survey |
|---|---|
| ID_Doc | 10536 |
| Authors | Thakur N.; Nagrath P.; Jain R.; Saini D.; Sharma N.; Hemanth D.J. |
| Year | 2021 |
| Published | Studies in Computational Intelligence, 971 |
| DOI | http://dx.doi.org/10.1007/978-3-030-72065-0_18 |
| Abstract | The security and urbanization challenge is expected to rise to 90% by 2050, and to leverage existing resources, technology is the solitary means to cope with this anticipated raise in entail. The Smart City is focused on the smooth convergence of Information and Communication Technology with the most technological innovations like well-connected home and equipment. Smart city augments the lifestyle of its residents by providing efficacious infrastructure and enhanced security. Surveillance is a recurring and monotonous assignment that descends the performance of human guards when continued for a longer period of time. Unmanned Aerial Vehicles (UAVs) or Drones can be deployed as security cameras to augment human guards. It can be deployed to track intruders, monitor unusual activities such as theft, violence and unprecedented corona-virus pandemic scenarios. UAV based visual surveillance in Smart cities, produces a huge amount of multimedia data. The need to process and analyze the data automatically in real-time is critical. Artificial Intelligence and Deep learning imitates human intelligence and provides excellent analytical capabilities to learn about complex data obtained in real environments. The integrated solution of Deep learning technology with the UAVs an electronic eye-in-the-sky has leveraged the capability of detection, recognition and deterrence in a scalable surveillance system. A comprehensive review on the potential benefits of UAVs and its applications for surveillance in smart cities has been presented. This chapter elaborates seamless integration of UAVs and Deep Learning technologies solutions for smart city surveillance. The paper concludes with a description of main challenges for the application of UAVs in deep learning solutions. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
| Author Keywords | Artificial intelligence; Deep learning; Smart cities; Surveillance; Unmanned aerial vehicles |
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