This guide introduces the DORI framework—Detection, Observation, Recognition, and Identification—as a standardized approach to defining surveillance requirements. It explains how pixel density correlates with each level, providing measurable guidelines in pixels per meter that help organizations determine the appropriate camera configuration for their needs. Rather than focusing solely on resolution, the paper emphasizes aligning performance with operational goals. It also highlights the influence of environmental factors such as lighting, lens quality, and scene complexity. By applying the DORI model, organizations can design cost-efficient systems that deliver the right level of detail for security, compliance, and investigative use cases.

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