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What are downsides of AI-based video analyis for security purposes?

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AI-based video analysis for security purposes has several downsides. One major limitation is the need for continuous human supervision to ensure effective monitoring. Additionally, the widespread deployment of AI mechanisms in public areas raises concerns regarding privacy and security. Moreover, the challenge lies in intelligently detecting and analyzing violent scenes in surveillance videos while optimizing computational resources. There is a lack of focus on intelligent video surveillance in terms of suspicious action detection and crime scene description, indicating a gap in research efforts. Furthermore, existing video monitoring systems often lack the capability to effectively analyze complex abnormal behaviors like violence, highlighting the need for advanced deep learning techniques for accurate identification.

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Proceedings Article•DOI Research on Video Surveillance Violence Detection Technology Based on Deep Convolution Network Xuezhong Wang 01 May 2022	The downsides of AI-based video analysis for security include limited abnormal behavior data and challenges in distinguishing abnormal behaviors across different scenes, as highlighted in the research.
Journal Article•DOI AI-Assisted Edge Vision for Violence Detection in IoT-Based Industrial Surveillance Networks 01 Aug 2022-IEEE Transactions on Industrial Informatics 21 Citations	AI-based video analysis for security may face challenges in detecting violence intelligently in IoT-based industrial surveillance due to resource constraints, requiring efficient frameworks like VD-Net proposed in the paper.
Journal Article•DOI Artificial Intelligence in Video Surveillance 16 Jun 2023-Advances in computational intelligence and robotics book series	AI-based video analysis for security may face challenges like limited research on surveillance videos, potential biases in AI algorithms, and privacy concerns due to extensive data processing.
Proceedings Article•DOI A Privacy Preserving System for AI-assisted Video Analytics Clemens Lachner, Thomas Rausch, Schahram Dustdar - Show less +2 more 10 May 2021 5 Citations	Privacy concerns and security risks are downsides of AI-based video analysis for security purposes, addressed by the proposed privacy-preserving system in the paper.
Proceedings Article•DOI Future Predicting Intelligent Camera Security System Merin Abraham, Nikita Suryawanshi, Nevin Joseph, Dhanashree Hadsul - Show less +3 more 11 Feb 2021 1 Citations	The major downside of AI-based video analysis for security is the need for continuous human supervision due to limitations in human attention span, hindering immediate threat response.

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