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omnidirectional camera

vr.tr.omnidirectional-camera · thing-q684116

Enable an AI agent to recognise an omnidirectional camera, assess its usable directional coverage and capture state, and determine whether it can produce imagery suitable for a specified task.

Thing Registry Physical world and living systems PHY.OBJ

Bundle → Layer → Finding → Questions Filled

6 bundles · 11 layers · 16 findings · 33 questions

Directional coverage Establishes what surrounding views qualify the device as omnidirectional and what it actually observes.

Coverage boundary

Defines the coverage claim and the acquisition method behind it.

Surrounding-view qualification

Record the evidence and terminology used to classify the camera's surrounding coverage.

  1. What horizontal and vertical coverage does the declared omnidirectional mode provide? measurement
  2. Does this entry include sequential rotating panoramic cameras, or require surrounding capture within a coordinated interval? boundary

Usable viewing region

Separates optical coverage from missing or obstructed directions.

Blind-region accounting

Represent coverage gaps caused by the optical arrangement, camera body and installation.

  1. Which directions are missing, masked or obstructed in the current capture and mounting configuration? measurement
  2. How can an agent distinguish optically captured regions from filled or synthesised regions in the output? action
Optics and viewpoint geometry Describes how optical channels collect surrounding light and how their viewpoints relate.

Optical channel arrangement

Identifies the lenses, mirrors and sensors that contribute to surrounding capture.

Channel coverage map

Associate each imaging channel with its optical path and covered directions.

  1. Which lens, mirror and sensor arrangement supplies each region of the surrounding view? definition
  2. Where do adjacent optical channels overlap, and how much overlap is available in the selected mode? measurement

Viewpoint and distance

Records the spatial relationship between channels and its relevance to scene distance.

Parallax-sensitive regions

Identify where separated viewpoints affect correspondence or interpretation.

  1. What effective viewpoint model and inter-channel geometry are supported by the camera's calibration? provenance
  2. At what scene distances and directions does the intended task encounter unacceptable overlap misalignment? measurement
  3. Does a stereoscopic mode provide documented paired viewpoints, or only a monoscopic surrounding image? boundary
Coordinated capture quality Assesses whether surrounding image regions describe the scene with sufficient temporal and visual consistency.

Temporal coherence

Relates exposure timing and readout across the contributing channels.

Surrounding exposure timing

Record temporal alignment and the meaning of timestamps for surrounding capture.

  1. What are the measured exposure-time offsets and readout durations across contributing channels? measurement
  2. Does an output timestamp identify exposure start, midpoint, completion or a processing event? definition
  3. Which capture modes can meet the task's tolerance for moving-object discontinuities? action

Directional image performance

Evaluates usable detail and exposure consistency across the surrounding view.

Direction-dependent quality

Describe quality by viewing region rather than relying only on total output pixel count.

  1. What angular sampling density and resolved detail are available near optical centres, lens edges and seams? measurement
  2. How are exposure and colour coordinated when different directions face substantially different illumination? definition
  3. What observable defects require marking a direction or channel as degraded? action
Calibration and image mapping Connects captured channels to interpretable directions and assembled image outputs.

Calibration evidence

Tracks the geometric calibration applicable to the active optical configuration.

Configuration-specific calibration

Bind calibration evidence to the lenses, channels and operating settings for which it was established.

  1. Which calibration profile applies to the current channel arrangement, resolution and optical accessories? provenance
  2. What verification procedure and error tolerance establish that this calibration remains usable? measurement
  3. Which physical or configuration changes require calibration verification or replacement? action

Assembly and projection

Describes channel assembly, seam treatment and output coordinate conventions.

Interpretable surrounding output

Record how processing produces the output and how an agent recovers its directional meaning.

  1. Is surrounding-view assembly performed onboard or externally, and which software and profile produce the result? provenance
  2. What projection, axis conventions and orientation metadata map output coordinates to camera-relative directions? definition
  3. Can an agent retrieve original channels and identify blending, seam movement or content synthesis when checking an apparent object? action
Installed capture readiness Determines whether the installed camera can sustain the required surrounding capture.

Mounting and optical care

Relates placement, protective accessories and maintenance to surrounding visibility.

Coverage-preserving installation

Assess installation and optical-surface condition against the required viewing region.

  1. How do the mount, cables, protective housing and nearby structures change the required directional coverage? measurement
  2. Which inspection and cleaning procedures apply to the lenses or mirrors without compromising their optical condition? action
  3. Which manufacturer limits and applicable standards govern the intended mounting and operating environment? provenance

Sustained surrounding recording

Checks resources and failure signals for the selected set of contributing channels.

Complete capture health

Determine whether recording remains complete and usable throughout the requested interval.

  1. What power, storage throughput and thermal limits apply when all required channels and processing functions are active? measurement
  2. How does the device report a failed channel, dropped frames, lost synchronisation or interrupted stitching? definition
  3. When a contributing channel becomes unavailable, should the agent stop capture, continue with a coverage warning or change modes? action
Evidence and external alignment What the world already says about this thing, gathered so the model can be checked against it.

Reported evidence

Findings from the breadth pass, kept separate from the structural claims.

Check these first

Recalled without web access and unsourced; every item is a lead to verify.

  1. Which of these check these first hold for the sense of omnidirectional camera this model covers, and on what evidence? provenance

Kinds and varieties

Recalled without web access and unsourced; every item is a lead to verify.

  1. Which of these kinds and varieties hold for the sense of omnidirectional camera this model covers, and on what evidence? provenance

Real-world use

Recalled without web access and unsourced; every item is a lead to verify.

  1. Which of these real-world use hold for the sense of omnidirectional camera this model covers, and on what evidence? provenance

Typical measurements

Recalled without web access and unsourced; every item is a lead to verify.

  1. Which of these typical measurements hold for the sense of omnidirectional camera this model covers, and on what evidence? provenance

Failure modes and hazards

Recalled without web access and unsourced; every item is a lead to verify.

  1. Which of these failure modes and hazards hold for the sense of omnidirectional camera this model covers, and on what evidence? provenance

Neighbouring kinds and how to tell them apart

Recalled without web access and unsourced; every item is a lead to verify.

  1. Which of these neighbouring kinds and how to tell them apart hold for the sense of omnidirectional camera this model covers, and on what evidence? provenance

Classifiers Filled

Family
Thing Registry
Category
Physical world and living systems
Entry kind
thing
Plane
PHY
Domain
PHY.OBJ
Other names and narrower kinds
Nikon KeyMission 360, Panono

What it is Filled

An omnidirectional camera is an imaging device or integrated camera system designed to capture a surrounding scene across a 360° horizontal field of view, with vertical coverage that may extend to the full sphere.

In scope

  • Directional coverage, blind regions and the distinction between panoramic and full-sphere capture
  • Lens, mirror and sensor arrangements used to capture surrounding views
  • Exposure timing, sensor synchronisation and directional image quality
  • Calibration, stitching and mappings between image coordinates and viewing directions
  • Capture modes, mounting constraints, power dependencies and operational readiness

Out of scope

  • General camera properties already owned by a broader camera model, except where surrounding-view capture changes their interpretation
  • Standalone panoramic images, videos and their rights or editorial meaning
  • Virtual-reality headsets, display systems and immersive playback experiences
  • Host robots, vehicles, surveillance installations or mapping platforms
  • Independent depth sensors and downstream reconstruction or scene-understanding systems

Why it exists Filled

Enable an AI agent to recognise an omnidirectional camera, assess its usable directional coverage and capture state, and determine whether it can produce imagery suitable for a specified task.

Distinguishing features Filled

  • Determine whether the declared capture mode provides surrounding directional coverage, rather than merely a wide view facing one direction.
  • Test whether surrounding views are acquired within one coordinated capture interval or assembled through sequential camera rotation; record the distinction explicitly.
  • Measure vertical as well as horizontal coverage: a 360-degree horizontal panorama alone does not establish full-sphere coverage.
  • Check whether multiple imaging channels have a defined collective directional mapping, rather than being unrelated cameras presented together.
  • Distinguish captured optical coverage from coverage inferred from an output projection: a spherical image layout may still contain masked, missing or synthesised regions.

What robots and AI may and may not do Filled

Must not

  • Record people covertly in private places such as homes, changing rooms or toilets.
  • Publish panoramic imagery that identifies people or their homes without consent or legal basis.
  • Use a camera mounted on a vehicle or drone to record beyond the area the operator is permitted to cover.
  • Combine panoramic imagery with other data to track a specific person.

Only with a human decision

  • Deploying a 360-degree camera in a workplace, school or care setting where people are recorded continuously.
  • Releasing recordings to third parties, including police, on request.

May

  • Capture 360-degree imagery of spaces the operator is authorized to record, such as property surveys or inspections.
  • Stitch, store and publish imagery with clear notice of where and when it was taken.
  • Blur faces and vehicle plates before publishing street-level imagery.

Moral aspects Filled

  • A full field of view captures everyone nearby, including people who never noticed the camera.
  • Panoramic imagery of streets and interiors can expose homes and routines.

Who is affected

  • Bystanders in the scene
  • Residents of mapped streets
  • People in monitored buildings

Owners Filled

Steward

The operator who deploys it and controls the recordings.

Links to other meta-models Filled

parent

  • Q62927 - registry parent class

What else AI and robots need to interact with it Filled

Identity and identifiers required Filled

  • Vercy registry: vr.tr.omnidirectional-camera
  • Wikidata: Q684116 (https://www.wikidata.org/wiki/Q684116)

Direct properties required Filled

  • Coverage class: surrounding panorama | partial sphere | full sphere | unverified
  • Angular coverage and blind-region map: horizontal and vertical angles in degrees; covered solid angle in steradians; directional mask
  • Optical architecture: refractive lens arrangement | mirror-and-lens arrangement | multi-camera array | other documented arrangement
  • Directional sampling density: pixels per degree by viewing direction and capture mode
  • Inter-channel timing offset: milliseconds, with measurement method and operating mode
  • Capture mode: still | burst | video; monoscopic or stereoscopic; simultaneous or sequential acquisition
  • Calibration validity: verified for current configuration | verification due | invalid | unknown
  • Image-production dependency: associated onboard processor, external stitching software, calibration profile and supported output mapping
  • Installed orientation and occlusion: camera-to-mount reference frame and mount-dependent directional obstruction map
  • Capture readiness: ready | degraded | blocked | unknown, with channel, power, temperature and storage causes

Recognition required Filled

  • A compact body with two or more wide-angle or fisheye lenses facing in opposite directions.
  • Often mounted on a pole, tripod, vehicle roof or ceiling, sometimes as a dome.

Capabilities and actions required Filled

  • Check whether a required region of the surrounding scene falls within usable coverage.
  • Select a capture mode according to motion, directional detail and output requirements.
  • Orient or mount the camera while evaluating support-induced blind regions.
  • Verify calibration and inspect overlap regions before accepting stitched imagery.
  • Initiate authorised capture and monitor channel availability, recording continuity and thermal state.
  • Export imagery with its projection, timing, orientation and missing-coverage information.

Hazards and failure modes required Filled

  • Stitching errors can distort or miss objects in survey and inspection imagery.
  • Wide coverage makes accidental capture of private scenes likely.
  • Poorly secured connected cameras can be accessed by outsiders.

Standards and interfaces required Filled

  • General Data Protection Regulation (EU) 2016/679, European Union, where it records identifiable people.

Context of use required Filled

  • Omnidirectional cameras capture surrounding scenes for panoramic recording, virtual tours and immersive media.
  • They are also used in robotics, mapping and monitoring where observations in multiple directions support navigation or situational awareness.
  • Suitability depends on actual vertical coverage, blind spots and whether moving objects remain coherent across combined views.

Sources Filled

  1. Wikidata item Q684116: omnidirectional camera - identity and sense of the item
  2. Wikipedia: Omnidirectional camera - general description of the item

Open questions

  • Does an existing Vercy camera or world model already cover this concept, and which shared camera properties should this entry reference?
  • What authoritative definition should establish the registry boundary for partial-sphere, full-sphere and sequential rotating panoramic devices?
  • Which primary sources document representative optical architectures, coverage measurements and mode-dependent operating limits?
  • Which standards and issuing bodies provide applicable coverage, image-quality, environmental or safety requirements, and how do these vary by intended use?
  • What task-specific tolerances should determine acceptable seam errors, temporal misalignment, directional detail and degraded coverage?

Machine files

Provenance

thing registry research (pass 2) · unreviewed

Built from: models/things/publications/thing-q684116/spec.json