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AI Video Surveillance Glossary

42+ terms covering edge AI, NDAA compliance, camera hardware, analytics capabilities, and system architecture. The definitive reference for enterprise security professionals.

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Understanding AI Video Surveillance Technology

The AI video surveillance industry uses specialized terminology that spans artificial intelligence, networking, compliance regulations, and physical security. This glossary provides clear definitions for enterprise security professionals, IT decision-makers, and procurement teams evaluating modern camera systems.

Key concepts include the distinction between edge AI processing (where analytics happen on the camera) and cloud AI (where video is sent to remote servers for analysis). This architectural choice affects everything from alert latency and bandwidth consumption to data privacy compliance and total cost of ownership.

Compliance frameworks like NDAA Section 889, GDPR, and CCPA increasingly influence camera procurement decisions. Understanding these regulations and their technical implications helps organizations select camera systems that satisfy both current requirements and anticipated future mandates.


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