The Impact of Generative AI On Video Surveillance (2025)
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Limited ****** ** ***** ***** *********: Generative AI has minimal impact on basic video analytics accuracy for people, vehicles, and objects, as these continue to rely on traditional machine and deep learning models.
Buyer ******** *******: Generative AI hype makes buyers more receptive to AI offerings, indirectly driving broader acceptance of solutions, such as generative AI-based video search and enhanced efficiency across analytics pipelines.
Natural ******** ***** ******: Generative AI enhances search capabilities through natural language understanding, allowing easier alert filtering and forensic search improvements.
Complex ********* ************: Generative AI aids in complex analytics, such as detecting abnormal behaviors, by incorporating a contextual understanding of scenes and providing relational insights (e.g., identifying a "person with a backpack next to a door").
Malicious *** ** ********** **: Although generative AI makes it feasible for malicious actors to create deepfake images or videos, these attacks have not been observed at scale. In anticipation of these risks, manufacturers will prioritize failsafes for video authenticity, such as C2PA (see *******).
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