Security is a determining factor in the lives of individuals in society. Risk situations are observed every day, and, consequently, the number of solutions and research projects in systems for monitoring real-time events is increasing. This paper describes the development of a facial recognition system to detect security events on a university campus. A description of the architecture, main modules and functions, and implementation challenges are addressed. The system is presented as a promising solution in combating robbery and control activities on university campuses in its first trial version. The solution is the result of a partnership between Huawei Brazil and the University of Sao Paulo, Brazil.
|Title of host publication||2021 2nd Sustainable Cities Latin America Conference, SCLA 2021|
|Editors||Jorge R. Beingolea|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Published - 25 Aug 2021|
|Event||2nd Sustainable Cities Latin America Conference, SCLA 2021 - Virtual, Online, Colombia|
Duration: 25 Aug 2021 → 27 Aug 2021
|Name||2021 2nd Sustainable Cities Latin America Conference, SCLA 2021|
|Conference||2nd Sustainable Cities Latin America Conference, SCLA 2021|
|Period||25/08/21 → 27/08/21|
Bibliographical noteFunding Information:
This research was supported by Huawei International and the University of São Paulo with research funding, the "Smart Campus" project. We also thank the trainees and technicians of the PAD-LSI group for their support in the development of this work.
© 2021 IEEE.
- Computational Intelligence
- Machine Vision
- Monitoring Systems
- Smart Campus
- Smart Cities