Axis ANVE key terms

A network-connected camera that digitizes video and sends it over an IP network, typically including its own web server and encoding hardware rather than requiring a separate recorder to process the image.

A device that converts analog video from an existing camera into a digital IP stream so it can travel on a network and be recorded or viewed by IP-based systems.

An algorithm that compresses and decompresses video or audio so it uses less bandwidth and storage; common examples include H.264 and H.265.

A widely supported video compression standard that balances image quality and bandwidth, and is compatible with most network video products and viewing clients.

A newer video compression standard that can deliver comparable image quality at roughly half the bitrate of H.264, reducing bandwidth and storage needs on supported devices.

The amount of data used per second to carry a video stream, usually expressed in kilobits or megabits per second; higher values generally mean better quality and more storage consumption.

An encoding mode where the data rate changes with scene complexity, using more bits for busy scenes and fewer for static ones to save bandwidth and storage.

An encoding mode that keeps the data rate fixed regardless of scene content, giving predictable bandwidth use but potentially wasting bits on simple scenes.

The repeating structure of I-frames and dependent P- or B-frames in a compressed stream; a shorter interval improves seek accuracy and recovery but raises bitrate.

A self-contained intra-coded video frame that needs no other frame to decode, used as a reference point and often stored separately for fast retrieval.

The number of images captured or displayed per second, affecting how smooth motion appears and how much bandwidth and storage the stream requires.

The pixel dimensions of a video image, such as 1920x1080, which determine how much fine detail can be captured and how closely a subject can be identified.

The number of pixels covering a given area of the scene, usually expressed in pixels per meter; it predicts whether a person or object can be detected, recognized, or identified.

A camera capability that captures detail in both bright and dark areas of a high-contrast scene, such as a doorway with strong backlight, in a single image.

A processing feature that brightens the main subject when a strong light source behind it would otherwise cause the subject to appear too dark.

Light just outside the visible spectrum emitted by a camera's built-in or external illuminator so it can capture usable images in complete darkness.

A movable filter that blocks infrared light during daytime for accurate color, and is removed at night so the sensor can use infrared illumination.

A camera setting that switches between color imaging in daylight and monochrome imaging in low light, often paired with infrared illumination for night capture.

A standard that delivers both data and electrical power to a device over a single network cable, simplifying installation of cameras that support it.

An open industry specification that lets network video products from different manufacturers interoperate for device discovery, streaming, and control.

A network protocol used to establish and control streaming media sessions, commonly used to pull a live video stream from a camera into a client or recorder.

Software that discovers, configures, views, records, and manages network cameras and stored video across a surveillance installation.

A dedicated appliance or server that receives streams from network cameras and stores recordings, often providing playback, search, and user access.

Recording video locally on storage inside or attached to the camera, such as an SD card, which provides redundancy if the network or recorder fails.

A configuration where video is saved in more than one location, such as both on the recorder and on edge storage, so a single failure does not lose footage.

The data-carrying capacity of a network link; surveillance designs must ensure total stream bitrates fit within available bandwidth alongside other traffic.

A device that connects cameras, recorders, and clients on a local network and forwards traffic between them, often supplying Power over Ethernet.

A logically separated segment of a physical network that isolates surveillance traffic from other systems for security and performance reasons.

The practice of securing devices by changing default credentials, updating firmware, disabling unused services, and restricting network access to reduce attack risk.

The embedded software running on a camera or recorder; keeping it current fixes bugs and closes security vulnerabilities.

The angular extent of the scene a camera lens captures, determined by lens focal length and sensor size; wider views cover more area but reduce detail per subject.

The optical property of a lens, usually in millimeters, that sets how wide or narrow the view is; longer focal lengths magnify distant subjects.

A lens whose focal length can be adjusted during installation to fine-tune the field of view, after which it is typically fixed in place.

The surveillance image quality level at which a person's face can be matched to an individual, requiring high pixel density on the subject.

The image quality level at which an observer can determine whether a person shown is someone previously known to them, requiring less pixel density than identification.

The lowest image quality level, sufficient to determine whether a person or object is present in the scene without establishing who or what it is.

A feature that blanks out selected areas of the camera's view so those regions are not recorded or viewed, supporting privacy requirements.

A camera function that detects events such as covering, defocusing, or redirecting the camera and sends an alert so operators can respond.

An analytics function that triggers recording or alerts when pixel changes in defined areas exceed thresholds, without identifying what the moving object is.

Software that automatically interprets video to detect and classify objects or behaviors, such as people crossing a line, reducing the need for constant monitoring.