Arkit Spatial Sensing Workflow

ARKit Spatial Sensing Workflow

Purpose

Guide ARKit environment sensing while preserving the platform-specific session model, typed spatial data, tracking quality, authorization, privacy, and rendering/scanning handoffs.

When To Use

• Use for world tracking, planes, anchors, ray casting, scene depth, LiDAR reconstruction, meshes, environment understanding, maps, relocalization, and visionOS ARKit providers.
• Recommend camera-capture-depth-workflow for camera controls, photo/video capture, calibrated camera depth, or synchronized camera outputs.
• Recommend arkit-face-body-tracking-workflow for TrueDepth face geometry or body skeleton tracking.

Single-Path Workflow

1. Classify the spatial task:
   • world tracking and tracking-state repair
   • plane, image, object, or geographic detection
   • ray casting, hit testing, feature points, or measurement
   • scene depth or smoothed scene depth
   • scene reconstruction, mesh geometry, or classification
   • environment texturing or probes
   • world-map persistence, sharing, or relocalization
   • visionOS authorization and provider lifecycle
2. Apply the Apple docs gate:
   • read current ARKit documentation for the selected platform and capability
   • state the documented behavior relied on
   • apply ../../shared/references/apple-spatial-data-privacy-contract.md
   • check supportsFrameSemantics, supportsSceneReconstruction, configuration support, provider support, authorization, and device capability before configuration
3. Choose the platform shape:
   • on iOS/iPadOS, configure and own ARSession with the appropriate ARConfiguration
   • on visionOS, request the documented ARKitSession authorization and run only the required data providers
   • do not hide those different lifecycles behind a generic spatial session
4. Preserve spatial evidence:
   • keep anchor identifiers, transforms, timestamps, tracking state, world origin, coordinate conventions, depth confidence, mesh geometry/classification, map state, and provider events typed
   • distinguish estimated geometry from measured truth
5. Define presentation and scanning handoffs:
   • use RealityKit for entity/scene presentation and interaction when appropriate
   • use RoomPlan for documented room-capture and structured-room workflows
   • use SceneKit only for an existing SceneKit rendering surface or a documented requirement
   • use Metal for advanced rendering or compute that RealityKit/Core Image cannot express
6. Return documented behavior, capability and authorization evidence, platform session/provider plan, coordinate and data lifecycle, privacy policy, diagnostics, validation, and handoffs.

Inputs

• request: spatial-sensing task or implementation under repair.
• spatial_goal: world, planes, raycast, depth, mesh, environment, map, image, object, geo, visionos, or repair.
• platform_context: platform, deployment target, intended devices, and rendering framework.
• data_context: persistence, sharing, server, collaboration, or local-only requirements.

Outputs

• status: success, handoff, or blocked.
• path_type: primary for ARKit spatial sensing, fallback for camera capture, face/body, RoomPlan, rendering, or execution.
• output: documented behavior, capability/authorization matrix, lifecycle, coordinates, data/privacy plan, diagnostics, validation, and handoffs.

Guards and Stop Conditions

• Do not assume LiDAR, scene depth, reconstruction, classification, geo tracking, image/object detection, or provider support from a device name or OS version.
• Do not wrap iOS ARSession and visionOS ARKitSession providers in a fake common lifecycle.
• Do not treat an anchor transform, raycast, feature point, depth sample, plane extent, or reconstructed mesh as exact ground truth.
• Do not persist or transmit world maps, meshes, room geometry, images, location anchors, or bystander-derived spatial data without an explicit purpose, consent/notice, retention, and deletion policy.
• Do not claim relocalization, metric accuracy, occlusion quality, mesh classification, or device performance without physical-device evidence.
• Do not silently reset tracking or the world origin; explain what spatial continuity is lost.
• Stop when authorization, device support, tracking conditions, or required physical validation is unavailable.

Fallbacks and Handoffs

• Recommend arkit-face-body-tracking-workflow for face and body anchors, geometry, blend shapes, eyes, skeletons, and scale.
• Recommend camera-capture-depth-workflow for camera devices, controls, photo/video, calibrated depth, and synchronized capture.
• Recommend vision-image-analysis-workflow for image-frame recognition and pose analysis outside ARKit tracking.
• Recommend RealityKit for scene presentation and interaction, RoomPlan for room capture, SceneKit for existing SceneKit surfaces, and Metal for advanced rendering.
• Recommend xcode-build-run-workflow for privacy configuration, authorization, build, run, physical-device logs, or profiling.
• Recommend xcode-testing-workflow for transform fixtures, provider state tests, saved-map fixtures, and device test plans.
• Recommend explore-apple-swift-docs for current ARKit or related framework research.

References

• references/world-tracking-depth-meshes-and-maps.md
• references/visionos-providers-rendering-and-diagnostics.md
• ../../shared/references/apple-spatial-data-privacy-contract.md
• Recommend references/snippets/apple-xcode-project-core.md for reusable Xcode-project policy.

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