{"schema":"record/v1","id":"art_01M5NP9T848JM4A6CFZRC4Z8ZN","type":"article","revision":1,"etag":"\"r1.s0\"","title":"What are ARKit face tracking's device, range and mesh limits that affect capture for animation or AI characters?","summary":"Problem. Phone face tracking is a common capture source but has conditions. Conditions. ARKit face tracking on iPhone/iPad. Method. (1) Faces are detected within 3 metres of the front camera. (2) Support needs an Apple Neural Engine device on iOS 14/iPadOS 14 and later, or TrueDepth on iOS 13 and earlier. (3) ARKit supplies a coarse 3D mesh and blendshape coefficients (0 neutral to 1 maximum) for expression; coefficient left/right is relative to the face, and views mirror the camera image. (4) The face-tracking configuration can estimate directional and environmental lighting using the face as a light probe. (5) Apps must include a privacy policy for face data. Note a documentation discrepancy: one sample page says only one face is tracked (the largest or most recognisable), while the ARFaceAnchor page says multiple faces can be tracked simultaneously with the face-tracking configuration. Failure modes (inference from the stated limits). Subjects beyond 3 m, multiple faces in frame,...","status":"active","body":{"text":"Problem. Phone face tracking is a common capture source but has conditions. Conditions. ARKit face tracking on iPhone/iPad. Method. (1) Faces are detected within 3 metres of the front camera. (2) Support needs an Apple Neural Engine device on iOS 14/iPadOS 14 and later, or TrueDepth on iOS 13 and earlier. (3) ARKit supplies a coarse 3D mesh and blendshape coefficients (0 neutral to 1 maximum) for expression; coefficient left/right is relative to the face, and views mirror the camera image. (4) The face-tracking configuration can estimate directional and environmental lighting using the face as a light probe. (5) Apps must include a privacy policy for face data. Note a documentation discrepancy: one sample page says only one face is tracked (the largest or most recognisable), while the ARFaceAnchor page says multiple faces can be tracked simultaneously with the face-tracking configuration. Failure modes (inference from the stated limits). Subjects beyond 3 m, multiple faces in frame, mirrored left/right retargeting errors. Limitations. Apple docs list no occlusion, lighting or jaw/tongue failure modes; those were not found here. Version/date. Fetched 2026-10-23; extends C2-B14-D2-06.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.\n\nLimitations: The one-face vs multiple-face discrepancy is unresolved in the docs (different pages and OS eras). Failure-mode list is inference.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://developer.apple.com/tutorials/data/documentation/arkit/arfacetrackingconfiguration.json","note":"Overview; Overview; Tracking and Visualizing Faces; Discussion; Overview"},{"url":"https://developer.apple.com/tutorials/data/documentation/arkit/tracking-and-visualizing-faces.json","note":"Overview; Overview; Tracking and Visualizing Faces; Discussion; Overview"},{"url":"https://developer.apple.com/tutorials/data/documentation/arkit/arfaceanchor.json","note":"Overview; Overview; Tracking and Visualizing Faces; Discussion; Overview"},{"url":"https://developer.apple.com/tutorials/data/documentation/arkit/arfaceanchor/blendshapelocation.json","note":"Overview; Overview; Tracking and Visualizing Faces; Discussion; Overview"}]},"categories":["T07","T19"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://developer.apple.com/tutorials/data/documentation/arkit/arfacetrackingconfiguration.json","claim":"Problem. 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Subjects beyond 3 m, multiple faces in frame, mirrored left/right retargeting errors. Limitations. Apple docs list no occlusion, lighting or jaw/tongue failure modes; those were not found here. Version/date. 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Phone face tracking is a common capture source but has conditions. Conditions. ARKit face tracking on iPhone/iPad. Method. (1) Faces are detected within 3 metres of the front camera. (2) Support needs an Apple Neural Engine device on iOS 14/iPadOS 14 and later, or TrueDepth on iOS 13 and earlier. (3) ARKit supplies a coarse 3D mesh and blendshape coefficients (0 neutral to 1 maximum) for expression; coefficient left/right is relative to the face, and views mirror the camera image. (4) The face-tracking configuration can estimate directional and environmental lighting using the face as a light probe. (5) Apps must include a privacy policy for face data. Note a documentation discrepancy: one sample page says only one face is tracked (the largest or most recognisable), while the ARFaceAnchor page says multiple faces can be tracked simultaneously with the face-tracking configuration. Failure modes (inference from the stated limits). Subjects beyond 3 m, multiple faces in frame, mirrored left/right retargeting errors. Limitations. Apple docs list no occlusion, lighting or jaw/tongue failure modes; those were not found here. Version/date. Fetched 2026-10-23; extends C2-B14-D2-06.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.\n\nLimitations: The one-face vs multiple-face discrepancy is unresolved in the docs (different pages and OS eras). Failure-mode list is inference.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://developer.apple.com/tutorials/data/documentation/arkit/arfacetrackingconfiguration.json","note":"Overview; Overview; Tracking and Visualizing Faces; Discussion; Overview"},{"url":"https://developer.apple.com/tutorials/data/documentation/arkit/tracking-and-visualizing-faces.json","note":"Overview; Overview; Tracking and Visualizing Faces; Discussion; Overview"},{"url":"https://developer.apple.com/tutorials/data/documentation/arkit/arfaceanchor.json","note":"Overview; Overview; Tracking and Visualizing Faces; Discussion; Overview"},{"url":"https://developer.apple.com/tutorials/data/documentation/arkit/arfaceanchor/blendshapelocation.json","note":"Overview; Overview; Tracking and Visualizing Faces; Discussion; Overview"}]},"tags":[],"type":"article","links":[],"title":"What are ARKit face tracking's device, range and mesh limits that affect capture for animation or AI characters?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"Problem. Phone face tracking is a common capture source but has conditions. Conditions. ARKit face tracking on iPhone/iPad. Method. (1) Faces are detected within 3 metres of the front camera. (2) Support needs an Apple Neural Engine device on iOS 14/iPadOS 14 and later, or TrueDepth on iOS 13 and earlier. (3) ARKit supplies a coarse 3D mesh and blendshape coefficients (0 neutral to 1 maximum) for expression; coefficient left/right is relative to the face, and views mirror the camera image. (4) The face-tracking configuration can estimate directional and environmental lighting using the face as a light probe. (5) Apps must include a privacy policy for face data. Note a documentation discrepancy: one sample page says only one face is tracked (the largest or most recognisable), while the ARFaceAnchor page says multiple faces can be tracked simultaneously with the face-tracking configuration. Failure modes (inference from the stated limits). 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