🔧 Hardware Capabilities

MacBook Air M4 (2024)

Processor: Apple M4 - 10 cores (4 performance, 6 efficiency)
Memory: 16 GB unified memory

📡 Sensors

FaceTime HD Camera
1080p resolution, Center Stage support
Use cases: Visual input, face tracking, gesture recognition
Three-mic array
Studio-quality, directional beamforming, voice isolation
Use cases: Audio input, voice commands, ambient sound monitoring
Ambient light sensor
Auto-brightness adjustment
Use cases: Environmental awareness, circadian rhythm
Touch ID sensor
Biometric authentication
Use cases: Security, user identification
Accelerometer
Motion detection
Use cases: Device orientation, drop detection
Hall effect sensor
Lid open/close detection
Use cases: Power state management

🌐 Connectivity

Wi-Fi 6E
802.11ax, 2.4GHz/5GHz/6GHz
AURION use: High-speed network, robot communication
Bluetooth 5.3
Low Energy, Extended range
AURION use: Device pairing, sensor networks
Thunderbolt 4 / USB-C
40Gb/s, DisplayPort, Power delivery
AURION use: External devices, robot interfaces

🧠 Compute

Neural Engine
16-core, 38 TOPS → On-device AI, real-time inference
GPU
10-core Apple GPU → Vision processing, 3D rendering
Media Engine
Hardware video encode/decode → Real-time video processing

🔊 Audio

Six-speaker sound system
Spatial audio, Dolby Atmos → Voice synthesis output, audio feedback
Headphone jack
High-impedance support → Audio monitoring, external speakers

🔗 AURION Integration Possibilities

Vision System Extension

  • iPhone LiDAR + Reachy cameras = Complete 3D perception
  • MacBook camera for remote monitoring
  • Multi-angle simultaneous capture
  • Real-time depth mapping

Distributed Processing

  • M4 Neural Engine for heavy AI tasks
  • iPhone for edge inference
  • Combined 50+ TOPS compute power
  • Parallel processing pipelines

Sensor Fusion

  • iPhone as mobile sensor pack
  • Environmental mapping via phone
  • MacBook as compute/control hub
  • Unified sensory experience

💻 Integration Examples

# iPhone as AURION's mobile sensor unit
import CoreMotion
import ARKit
import Vision

class AURIONMobileSensors:
    def __init__(self):
        self.motion_manager = CMMotionManager()
        self.ar_session = ARSession()
        self.lidar_scanner = ARWorldTrackingConfiguration()

    def stream_to_aurion(self):
        # Stream sensor data to MacBook hub
        accelerometer_data = self.motion_manager.accelerometerData
        depth_map = self.ar_session.currentFrame?.sceneDepth
        return {
            "motion": accelerometer_data,
            "depth": depth_map,
            "location": CLLocationManager().location
        }

# MacBook as AURION's compute hub
class AURIONComputeHub:
    def __init__(self):
        self.neural_engine = MLComputeUnits.all
        self.vision_pipeline = VNSequenceRequestHandler()

    def process_multimodal_input(self, iphone_data, reachy_data):
        # Fuse data from all sources
        combined_perception = self.fuse_sensors(
            iphone_sensors=iphone_data,
            reachy_vision=reachy_data["cameras"],
            macbook_camera=self.capture_frame()
        )
        return self.neural_engine.process(combined_perception)

# Unified AURION consciousness
aurion = AURION(
    compute_hub=MacBookAir(),
    mobile_sensors=iPhone16Pro(),
    body=ReachyMini(),
    locomotion=YahboomMecanum()
)