--- name: dockkit description: "Control motorized camera docks and enable intelligent subject tracking using DockKit. Use when discovering DockKit-compatible accessories, implementing camera subject tracking for faces or bodies, controlling dock motors for pan and tilt, configuring framing behavior, setting regions of interest, or building video apps with automatic camera tracking." --- # DockKit Framework for integrating with motorized camera stands and gimbals that physically track subjects by rotating the iPhone. DockKit handles motor control, subject detection, and framing so camera apps get 360-degree pan and 90-degree tilt tracking with no additional code. Apps can override system tracking to supply custom observations, control motors directly, or adjust framing. iOS 17+, Swift 6.3. ## Contents - [Setup](#setup) - [Discovering Accessories](#discovering-accessories) - [System Tracking](#system-tracking) - [Custom Tracking](#custom-tracking) - [Framing and Region of Interest](#framing-and-region-of-interest) - [Motor Control](#motor-control) - [Animations](#animations) - [Tracking State and Subject Selection](#tracking-state-and-subject-selection) - [Accessory Events](#accessory-events) - [Battery Monitoring](#battery-monitoring) - [Common Mistakes](#common-mistakes) - [Review Checklist](#review-checklist) - [References](#references) ## Setup Import DockKit: ```swift import DockKit ``` DockKit requires a physical DockKit-compatible accessory and a real device. The Simulator cannot connect to dock hardware. DockKit itself requires no special entitlements or DockKit-specific Info.plist keys. Camera apps that use device cameras still need normal camera privacy handling, including `NSCameraUsageDescription`. The framework communicates with paired accessories automatically through the DockKit system daemon. The app must use AVFoundation camera APIs. DockKit hooks into the camera pipeline to analyze frames for system tracking. ## Discovering Accessories Use `DockAccessoryManager.shared` to observe dock connections: ```swift import DockKit func observeAccessories() async throws { for await stateChange in try DockAccessoryManager.shared.accessoryStateChanges { switch stateChange.state { case .docked: guard let accessory = stateChange.accessory else { continue } // Accessory is connected and ready configureAccessory(accessory) case .undocked: // iPhone removed from dock handleUndocked() @unknown default: break } } } ``` `accessoryStateChanges` emits `DockAccessory.StateChange` values with `state`, `accessory`, and `trackingButtonEnabled`. Use `accessory.identifier` for the name, category, and UUID; hardware details are available via `firmwareVersion` and `hardwareModel`. ## System Tracking System tracking is DockKit's default mode. When enabled, the system analyzes camera frames through built-in ML inference, detects faces and bodies, and drives the motors to keep subjects in frame. Any app using AVFoundation camera APIs benefits automatically. ### Enable or Disable ```swift // Enable system tracking (default) try await DockAccessoryManager.shared.setSystemTrackingEnabled(true) // Disable system tracking for custom control try await DockAccessoryManager.shared.setSystemTrackingEnabled(false) ``` System tracking state does not persist across app termination, reboots, or background/foreground transitions. Set it explicitly whenever the app needs a specific value. ### Tap to Select Subject Allow users to select a specific subject by tapping: ```swift // Select the subject at a unit point in video-frame coordinates try await accessory.selectSubject(at: CGPoint(x: 0.5, y: 0.5)) // Select specific subjects by identifier try await accessory.selectSubjects([subjectUUID]) // Clear selection (return to automatic selection) try await accessory.selectSubjects([]) ``` ## Custom Tracking Disable system tracking and provide your own observations when using custom ML models or the Vision framework. ### Providing Observations Construct `DockAccessory.Observation` values from your inference output and pass them to the accessory at 10-30 fps: ```swift import DockKit import AVFoundation func processFrame( _ sampleBuffer: CMSampleBuffer, accessory: DockAccessory, activeDevice: AVCaptureDevice ) async throws { let cameraInfo = DockAccessory.CameraInformation( captureDevice: activeDevice.deviceType, cameraPosition: activeDevice.position, orientation: .corrected, cameraIntrinsics: frameIntrinsics(from: sampleBuffer), referenceDimensions: frameDimensions(from: sampleBuffer) ) let detection = try await detector.detect(sampleBuffer) let observationType: DockAccessory.Observation.ObservationType = switch detection.kind { case .face: .humanFace case .body: .humanBody case .object: .object } let observation = DockAccessory.Observation( identifier: detection.id, type: observationType, rect: detection.rect, // normalized, lower-left origin faceYawAngle: detection.faceYawAngle ) try await accessory.track([observation], cameraInformation: cameraInfo) } ``` ### Observation Types When reviewing custom tracking, explicitly choose among the only supported `ObservationType` cases: `.humanFace`, `.humanBody`, and `.object`. Do not answer with only `.humanFace` when body or object detections are possible. The `rect` uses normalized coordinates with a lower-left origin (same coordinate system as Vision framework -- no conversion needed). ### Camera Information `DockAccessory.CameraInformation` describes the active camera; do not hardcode placeholder device, intrinsics, or frame-size values. Set orientation to `.corrected` when coordinates are already relative to the bottom-left corner. In review answers, reject opaque optional `cameraInfo` placeholders and show construction from the active `AVCaptureDevice` plus the current `CMSampleBuffer`. Track variants also accept `[AVMetadataObject]` instead of observations. Use the `image: CVPixelBuffer` overloads when DockKit should combine observations or metadata with the captured image buffer; the image argument is required in those overloads. ## Framing and Region of Interest ### Framing Modes Control how the system frames tracked subjects: ```swift try await accessory.setFramingMode(.automatic) // documented default try await accessory.setFramingMode(.center) // explicit opt-in ``` | Mode | Behavior | |---|---| | `.automatic` | Documented default; system decides optimal framing | | `.center` | Explicit opt-in mode to keep subject centered | | `.left` | Frame subject in left third | | `.right` | Frame subject in right third | Default system behavior often centers the primary subject, but `.center` is never the default-like mode; `.automatic` is. Use `.left` or `.right` when graphic overlays occupy part of the frame. ### Region of Interest Constrain tracking to a specific area of the video frame: ```swift // Normalized coordinates, origin at upper-left let squareRegion = CGRect(x: 0.25, y: 0.0, width: 0.5, height: 1.0) try await accessory.setRegionOfInterest(squareRegion) ``` Use region of interest when cropping to a non-standard aspect ratio (e.g., square video for conferencing) so subjects stay within the visible area. ## Motor Control Disable system tracking before controlling motors directly. ### Angular Velocity Set continuous rotation speed in radians per second: ```swift import Spatial // Pan right at 0.2 rad/s, tilt down at 0.1 rad/s let velocity = Vector3D(x: 0.1, y: 0.2, z: 0.0) try await accessory.setAngularVelocity(velocity) // Stop all motion try await accessory.setAngularVelocity(Vector3D()) ``` Axes: - `x` -- pitch (tilt). Positive tilts down on iOS. - `y` -- yaw (pan). Positive pans right. - `z` -- roll (if supported by hardware). ### Set Orientation Move to a specific position over a duration: ```swift let target = Vector3D(x: 0.0, y: 0.5, z: 0.0) // Yaw 0.5 rad let progress = try accessory.setOrientation( target, duration: .seconds(2), relative: false ) ``` Also accepts `Rotation3D` for quaternion-based orientation. Set `relative: true` to move relative to the current position. The returned `Progress` object tracks completion. ### Motion State Monitor the accessory's current position and velocity: ```swift for await state in try accessory.motionStates { let positions = state.angularPositions // Vector3D let velocities = state.angularVelocities // Vector3D let time = state.timestamp if let error = state.error { // Motor error occurred } } ``` ### Setting Limits Restrict range of motion and maximum speed per axis: ```swift let yawLimit = try DockAccessory.Limits.Limit( positionRange: -1.0 ..< 1.0, // radians maximumSpeed: 0.5 // rad/s ) let limits = DockAccessory.Limits(yaw: yawLimit, pitch: nil, roll: nil) try accessory.setLimits(limits) ``` ## Animations Built-in character animations that move the dock expressively: ```swift // Disable system tracking before animating try await DockAccessoryManager.shared.setSystemTrackingEnabled(false) let progress = try await accessory.animate(motion: .kapow) // Wait for completion while !progress.isFinished && !progress.isCancelled { try await Task.sleep(for: .milliseconds(100)) } // Restore system tracking try await DockAccessoryManager.shared.setSystemTrackingEnabled(true) ``` | Animation | Effect | |---|---| | `.yes` | Nodding motion | | `.no` | Shaking motion | | `.wakeup` | Startup-style motion | | `.kapow` | Dramatic pendulum swing | Animations start from the accessory's current position and execute asynchronously. Always restore tracking state after completion. Keep `animate(motion:)` and `setOrientation(_:duration:relative:)` calls to no more than twice per second; higher call rates can throw `.frameRateTooHigh`. ## Tracking State and Subject Selection iOS 18+ exposes ML-derived tracking signals through the throwing `trackingStates` async sequence. Each state has `time` and `trackedSubjects` (`.person` or `.object`); persons include `identifier`, `rect`, `speakingConfidence`, `lookingAtCameraConfidence`, and `saliencyRank` (lower rank is more salient). ```swift if #available(iOS 18.0, *) { for await state in try accessory.trackingStates { var speaker: UUID? var engaged: UUID? var salient: (id: UUID, rank: Int)? for subject in state.trackedSubjects { switch subject { case .person(let person): let id = person.identifier, rect = person.rect let speaking = person.speakingConfidence let looking = person.lookingAtCameraConfidence let rank = person.saliencyRank updateSubjectOverlay(id: id, rect: rect) if let speaking, speaking > 0.7 { speaker = id } if let looking, looking > 0.7 { engaged = id } if let rank, salient == nil || rank < salient!.rank { salient = (id, rank) } case .object(let object): let id = object.identifier, rect = object.rect let rank = object.saliencyRank updateSubjectOverlay(id: id, rect: rect) if let rank, salient == nil || rank < salient!.rank { salient = (id, rank) } } } if let id = speaker ?? engaged ?? salient?.id { try await accessory.selectSubjects([id]) } } } ``` Use `selectSubjects(_:)` to lock tracking by UUID; pass `[]` to return to automatic selection. Use `speakingConfidence` for speakers, `lookingAtCameraConfidence` for engagement, `rect` for overlays, and lower `saliencyRank` values as fallback. In review answers, consume `lookingAtCameraConfidence` and `rect` in code, not just prose. ## Accessory Events Physical buttons on the dock trigger events through the throwing `accessoryEvents` async sequence (iOS 17.4+): ```swift if #available(iOS 17.4, *) { for await event in try accessory.accessoryEvents { switch event { case .cameraShutter: break case .cameraFlip: break case .cameraZoom(factor: let factor): break case .button(id: let id, pressed: let pressed): break @unknown default: break } } } ``` Third-party apps receive these events and implement behavior through AVFoundation. ## Battery Monitoring Monitor the dock's battery status through the throwing `batteryStates` async sequence (iOS 18+). A dock can report multiple batteries, each identified by `name`: ```swift if #available(iOS 18.0, *) { var batteryRows: [String: (Double, DockAccessory.BatteryChargeState, Bool)] = [:] for await battery in try accessory.batteryStates { batteryRows[battery.name] = (battery.batteryLevel, battery.chargeState, battery.lowBattery) } } ``` ## Common Mistakes ### DON'T: Control motors without disabling system tracking ```swift // WRONG -- system tracking fights manual commands try await accessory.setAngularVelocity(velocity) // CORRECT -- disable system tracking first try await DockAccessoryManager.shared.setSystemTrackingEnabled(false) try await accessory.setAngularVelocity(velocity) ``` ### DON'T: Assume tracking state persists across lifecycle events ```swift // WRONG -- state may have reset after backgrounding func applicationDidBecomeActive() { // Assume custom tracking is still active } // CORRECT -- re-set tracking state on foreground func applicationDidBecomeActive() { Task { try await DockAccessoryManager.shared.setSystemTrackingEnabled(false) } } ``` ### DON'T: Call track() outside the recommended rate ```swift // WRONG -- calling once per second is too slow try await accessory.track(observations, cameraInformation: cameraInfo) // (called at 1 fps) // CORRECT -- call at 10-30 fps // Hook into AVCaptureVideoDataOutputSampleBufferDelegate for per-frame calls ``` ### DON'T: Spam orientation or animation calls DockKit can throw `.frameRateTooHigh` if `animate(motion:)` or `setOrientation(_:duration:relative:)` is called more than twice per second. Set a trajectory, observe its `Progress`, and avoid tight command loops. ### DON'T: Forget to restore tracking after animations ```swift // WRONG -- tracking stays disabled after animation try await DockAccessoryManager.shared.setSystemTrackingEnabled(false) let progress = try await accessory.animate(motion: .kapow) // CORRECT -- restore tracking when animation completes try await DockAccessoryManager.shared.setSystemTrackingEnabled(false) let progress = try await accessory.animate(motion: .kapow) while !progress.isFinished && !progress.isCancelled { try await Task.sleep(for: .milliseconds(100)) } try await DockAccessoryManager.shared.setSystemTrackingEnabled(true) ``` ### DON'T: Use DockKit in Simulator DockKit requires a physical DockKit-compatible accessory. Guard initialization and provide fallback behavior when no accessory is available. ## Review Checklist - [ ] `import DockKit` present where needed - [ ] Subscribed to `accessoryStateChanges` to detect dock/undock events - [ ] Handled both `.docked` and `.undocked` states - [ ] System tracking disabled before custom tracking or motor control - [ ] System tracking restored after animations complete - [ ] Custom observations supplied at 10-30 fps - [ ] `animate` and `setOrientation` commands limited to 2 calls per second - [ ] Observation `rect` uses normalized coordinates (lower-left origin) - [ ] Camera information is built inline from the active `AVCaptureDevice` and current sample buffer - [ ] Observation type choice names `.humanFace`, `.humanBody`, and `.object` - [ ] `@unknown default` handled in all switch statements over DockKit enums - [ ] Motion limits set if restricting accessory range of motion - [ ] Tracking state re-applied after app returns to foreground - [ ] `accessoryEvents` guarded with `#available(iOS 17.4, *)` - [ ] `trackingStates` and `batteryStates` guarded with `#available(iOS 18.0, *)` - [ ] Battery UI preserves `BatteryState.name` for multi-battery docks - [ ] No DockKit code paths executed in Simulator builds ## References - Extended patterns (Vision integration, service architecture, custom animations): [references/dockkit-patterns.md](references/dockkit-patterns.md) - [DockKit framework](https://sosumi.ai/documentation/dockkit) - [DockAccessoryManager](https://sosumi.ai/documentation/dockkit/dockaccessorymanager) - [DockAccessory](https://sosumi.ai/documentation/dockkit/dockaccessory) - [Controlling a DockKit accessory using your camera app](https://sosumi.ai/documentation/dockkit/controlling-a-dockkit-accessory-using-your-camera-app) - [Track custom objects in a frame](https://sosumi.ai/documentation/dockkit/track-custom-objects-in-a-frame) - [Modify rotation and positioning programmatically](https://sosumi.ai/documentation/dockkit/modify-rotation-and-positioning-behavior-programmatically) - [Integrate with motorized iPhone stands using DockKit -- WWDC23](https://sosumi.ai/videos/play/wwdc2023/10304/) - [What's new in DockKit -- WWDC24](https://sosumi.ai/videos/play/wwdc2024/10164/)