Video surveillance system using computer vision to improve the detection of suspicious behaviors in residences of Trujillo (#864)

Authors

Pairazaman Uriol, Miguel Angel

Garcia Miranda, Kevin Matthew

Berru Beltran, Rolando Javier

Abstract

This research article aimed to determine the impact of a residential video surveillance system employing computer vision for the detection of suspicious behaviors in the province of Trujillo. The study was applied or technological in nature, with an experimental design, and the sample consisted of 12 residences in the city of Trujillo. Observation sheets were used as the primary instruments for data collection. The results showed that the implementation of the system reduced the detection time for suspicious behaviors by 20.83%, in addition to improving accuracy by 10.39% and both precision and sensitivity by 7.5%. It is concluded that the implementation of a video surveillance system integrating computer vision significantly enhances the efficiency of detecting suspicious behaviors, establishing itself as a reliable tool for residential security.