Open AccessAutomation in Surveillance: A Review of the Developments
Author(s) -
Sai Shashank Mukkera
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.37972
Subject(s) - automation , computer science , event (particle physics) , data science , computer security , risk analysis (engineering) , engineering , business , mechanical engineering , physics , quantum mechanics
The purpose of this paper is to conduct a literature survey on the developments of surveillance systems while laying strong emphasis on AI-related developments. With the rise in availability of video data and advancements in computer vision techniques, the role of AI in surveillance has become more prominent. Most surveillance footage is used for investigative purposes after an event has occurred instead of providing real-time alerts. The systems discussed in this paper help achieve this goal of providing real-time alerts. Limitations and strengths of the systems are also discussed.