The Rise of Intelligent Surveillance: AI powered Behavioral Analysis in Home Security Cameras
This research paper explores the transformative potential of behavioral analysis in modern home security cameras.Driven by advancements in artificial intelligence and computer vision, these systems go beyond passive recording to actively analyze video footage, identify suspicious activities and provide proactive security measures.We examine the latest AI techniques, including deep learning and computer vision and discuss the diverse capabilities of contemporary security cameras, such as motion detection, facial recognition and cloud storage.Furthermore, we delve into the ethical and legal considerations surrounding this technology, addressing concerns about privacy invasion, bias in AI algorithms and the balance between security and individual freedoms.By exploring the evolution of behavioral analysis, analyzing different camera types and discussing best practices for ethical deployment, this paper provides a comprehensive overview of this rapidly evolving field and its implications for the future of home security.
Authors
- Sibin Thomas
Institutions
- Tetra Tech (United States) (US)
Publication Details
- Journal
- Journal of Artificial Intelligence Machine Learning and Data Science
- Published
- 2025-03-08
- DOI
- https://doi.org/10.51219/jaimld/sibin-thomas/531
- Citations
- 2
- Primary Topic
- Impact of AI and Big Data on Business and Society
- Type
- article
- Field-Weighted Citation Impact
- 4.21