GROOT FORCE - System Requirements Specification (SRS)

Document Version: 1.0
Date: November 2025
Status: Active Development
Classification: Internal - Engineering & Architecture

Document Control

Version	Date	Author	Changes
1.0	Nov 2025	System Architecture Team	Initial system SRS

Approval:

Chief Architect: _________________ Date: _______
Hardware Lead: _________________ Date: _______
Software Lead: _________________ Date: _______
AI Lead: _________________ Date: _______
QA Lead: _________________ Date: _______

1. Executive Summary

1.1 Purpose

This System Requirements Specification (SRS) defines the complete GROOT FORCE system architecture and integration requirements. This document:

Describes how all hardware, software, AI, and cloud components integrate
Defines system-level requirements and constraints
Specifies interfaces between subsystems
Establishes system performance requirements
Provides integration and testing strategy

This SRS is the master integration document that ensures all component specifications work together as a cohesive system.

1.2 System Overview

GROOT FORCE is an AI-powered smart glasses platform consisting of:

7 Major Subsystems:

Hardware Platform - Physical device (frame, sensors, displays, power)
Operating System - KLYRA OS (Android 11 AOSP custom)
AI Engine - Local LLM, reasoning kernel, emotional intelligence
Sensor Fusion - IMU, ToF, LiDAR, health sensors integration
User Interface - HUD, voice, gesture, touch controls
Connectivity - Bluetooth, Wi-Fi, cellular, mesh networking
Cloud Services - Optional backup, AI boost, sync (privacy-first)

System Architecture Diagram:

┌─────────────────────────────────────────────────────────────┐
│                        USER                                  │
│              (Voice, Gesture, Touch, Gaze)                   │
└────────────────────────┬────────────────────────────────────┘
                         │
┌────────────────────────▼────────────────────────────────────┐
│                   USER INTERFACE LAYER                       │
│  ┌─────────┐  ┌─────────┐  ┌──────────┐  ┌──────────────┐ │
│  │   HUD   │  │  Voice  │  │ Gesture  │  │    Touch     │ │
│  │ Display │  │   I/O   │  │ Control  │  │   Control    │ │
│  └─────────┘  └─────────┘  └──────────┘  └──────────────┘ │
└────────────────────────┬────────────────────────────────────┘
                         │
┌────────────────────────▼────────────────────────────────────┐
│                     KLYRA OS LAYER                           │
│  ┌────────────────────────────────────────────────────────┐ │
│  │            System Services & Orchestration             │ │
│  ├────────────┬─────────────┬────────────┬───────────────┤ │
│  │   Sensor   │  Display    │   Audio    │   Privacy     │ │
│  │    Hub     │  Renderer   │   Manager  │   Guardian    │ │
│  └────────────┴─────────────┴────────────┴───────────────┘ │
└────────────────────────┬────────────────────────────────────┘
                         │
┌────────────────────────▼────────────────────────────────────┐
│                      AI ENGINE LAYER                         │
│  ┌──────────────────────────────────────────────────────┐  │
│  │              AI Runtime Orchestrator                  │  │
│  ├──────────┬───────────┬──────────┬────────────────────┤  │
│  │   LLM    │   RAG     │ Critical │    Emotional       │  │
│  │  Engine  │  Engine   │ Thinking │    Engine          │  │
│  │          │           │  Kernel  │                    │  │
│  └──────────┴───────────┴──────────┴────────────────────┘  │
│  ┌──────────────────────────────────────────────────────┐  │
│  │           Executive Function Framework                │  │
│  └──────────────────────────────────────────────────────┘  │
└────────────────────────┬────────────────────────────────────┘
                         │
┌────────────────────────▼────────────────────────────────────┐
│                    SENSOR FUSION LAYER                       │
│  ┌──────────┬──────────┬──────────┬──────────┬──────────┐  │
│  │   IMU    │   ToF    │  LiDAR   │  Health  │   Env    │  │
│  │  9-axis  │  Depth   │  Range   │ Sensors  │ Sensors  │  │
│  └──────────┴──────────┴──────────┴──────────┴──────────┘  │
│  ┌──────────────────────────────────────────────────────┐  │
│  │         Spatial Mapping & Safety Intelligence        │  │
│  └──────────────────────────────────────────────────────┘  │
└────────────────────────┬────────────────────────────────────┘
                         │
┌────────────────────────▼────────────────────────────────────┐
│                  CONNECTIVITY LAYER                          │
│  ┌──────────┬──────────┬──────────┬──────────┬──────────┐  │
│  │Bluetooth │  Wi-Fi   │ Cellular │   Mesh   │   NFC    │  │
│  │   5.3    │    6     │ (Opt)    │  P2P     │          │  │
│  └──────────┴──────────┴──────────┴──────────┴──────────┘  │
└────────────────────────┬────────────────────────────────────┘
                         │
┌────────────────────────▼────────────────────────────────────┐
│                   HARDWARE PLATFORM LAYER                    │
│  ┌────────────┬─────────────┬────────────┬───────────────┐ │
│  │    SoC     │   Display   │   Camera   │    Power      │ │
│  │ RK3588/XR2 │ Micro-OLED  │   Array    │   System      │ │
│  └────────────┴─────────────┴────────────┴───────────────┘ │
│  ┌──────────────────────────────────────────────────────┐  │
│  │        Frame, Thermal Management, Enclosure          │  │
│  └──────────────────────────────────────────────────────┘  │
└────────────────────────────────────────────────────────────┘
                         │
┌────────────────────────▼────────────────────────────────────┐
│              OPTIONAL CLOUD SERVICES LAYER                   │
│  ┌──────────┬──────────┬──────────┬──────────┬──────────┐  │
│  │  Cloud   │  Backup  │   Sync   │   OTA    │ Analytics│  │
│  │ AI Boost │  Storage │  Service │  Updates │          │  │
│  └──────────┴──────────┴──────────┴──────────┴──────────┘  │
└─────────────────────────────────────────────────────────────┘

1.3 Scope

In Scope:

Complete system architecture and component integration
Inter-subsystem interfaces and data flows
System-level functional and non-functional requirements
System states, modes, and transitions
System performance, reliability, and safety requirements
Integration testing strategy
System-level failure modes and recovery

Out of Scope:

Detailed component specifications (covered in component FRDs)
Manufacturing processes (covered in Manufacturing Plan)
Marketing and business strategy (covered in Business Plan)
Individual test cases (covered in Test Plan)

Requirements Documents:

Master PRD - Product vision and goals
Hardware Requirements - Hardware specifications
FRD: Core AI System - AI architecture
FRD: Sensor & Safety Systems - Sensor details
FRD: User Experience & Interface - UX design
FRD: Connectivity & Cloud - Network features
FRD: Product Variants - Variant specifications

Design Documents:

Test Documents:

2. System Architecture

2.1 Architectural Principles

Core Principles:

Modularity: Components are independent and loosely coupled
Privacy-First: Local processing by default, cloud optional
Fail-Safe: Graceful degradation when components fail
Real-Time: Critical functions operate with minimal latency
Extensibility: New features can be added without major rework
Efficiency: Optimized for battery life and thermal management
Accessibility: All functions accessible through multiple modalities

Design Patterns:

Layered Architecture: Clear separation of concerns
Event-Driven: Asynchronous communication between components
Observer Pattern: Sensors publish, components subscribe
Strategy Pattern: Swappable AI models and algorithms
Singleton Pattern: System-wide services (KLYRA OS, AI Runtime)

2.2 System Layers

Layer 1: Hardware Platform

Components:

SoC (RK3588 or Snapdragon XR2)
Micro-OLED displays (dual)
Camera array (1-3 cameras depending on variant)
Sensors (IMU, ToF, LiDAR, health, environmental)
Audio (microphones, bone conduction)
Power (batteries, PMIC, charging)
Frame and thermal management

Responsibilities:

Provide compute, memory, storage resources
Capture visual and sensor data
Display output to user
Manage power and thermal states
Provide physical structure and protection

Interfaces:

Hardware Abstraction Layer (HAL) to OS
Sensor interfaces (I2C, SPI, UART, MIPI)
Display interfaces (MIPI DSI)
Power management interfaces

Layer 2: Operating System (KLYRA OS)

Components:

Android 11 AOSP (customized)
Kernel drivers
System services (sensor hub, display renderer, audio manager, privacy guardian)
Hardware Abstraction Layer (HAL)
Security subsystem

Responsibilities:

Manage hardware resources
Provide platform APIs to applications
Enforce security and privacy policies
Coordinate system services
Handle power management

Interfaces:

HAL APIs (hardware access)
System service APIs (inter-service communication)
Application APIs (app development)
Kernel interfaces (drivers)

Layer 3: AI Engine

Components:

AI Runtime Orchestrator
Local LLM (3-8B parameters)
RAG Engine (retrieval-augmented generation)
Critical Thinking Kernel
Emotional Engine
Executive Function Framework
Tool calling system

Responsibilities:

Process natural language queries
Retrieve relevant knowledge
Reason about complex problems
Monitor user emotional state
Decompose tasks and plan execution
Execute tools and actions

Interfaces:

Voice input (from OS audio manager)
Sensor context (from sensor fusion)
RAG database (local storage)
Tool APIs (system functions, apps)
HUD output (to display renderer)
Audio output (to TTS system)

Layer 4: Sensor Fusion

Components:

IMU processor (9-axis motion)
ToF depth processor
LiDAR range processor
Health sensor processor
Environmental sensor processor
Spatial mapping engine
Safety intelligence engine

Responsibilities:

Collect and process sensor data
Fuse multi-sensor inputs
Build spatial map of environment
Detect safety hazards and anomalies
Provide context to AI engine

Interfaces:

Sensor HAL (hardware access)
Fusion algorithms (data processing)
AI Engine API (context provision)
HUD API (visualization)

Layer 5: User Interface

Components:

HUD Display Manager
Voice User Interface (VUI)
Gesture Recognition
Touch Input Handler
KLYRA Personality Layer

Responsibilities:

Render visual information on HUD
Process voice commands
Recognize gestures
Handle touch input
Present KLYRA personality

Interfaces:

Display HAL (micro-OLED control)
Audio HAL (microphone, speaker)
Sensor fusion (gesture data)
AI Engine (command interpretation, responses)

Layer 6: Connectivity

Components:

Bluetooth stack (5.3 LE Audio)
Wi-Fi stack (Wi-Fi 6)
Cellular modem (optional, 5G)
Mesh networking (P2P)
NFC (optional)

Responsibilities:

Connect to companion devices (phone, computer)
Sync data (local to cloud)
Enable remote assistance
Support mesh communication

Interfaces:

Network protocols (TCP/IP, BLE, P2P)
Companion app APIs
Cloud APIs (optional)
Mesh protocol APIs

Layer 7: Cloud Services (Optional)

Components:

Cloud AI inference (70B models)
Backup and sync
OTA update distribution
Analytics and telemetry
Fleet management (enterprise)

Responsibilities:

Provide enhanced AI for complex queries
Store user data securely
Deliver firmware updates
Aggregate usage data (anonymized)
Manage enterprise deployments

Interfaces:

RESTful APIs (HTTPS)
WebSocket (real-time communication)
gRPC (high-performance RPC)
Authentication (OAuth 2.0, device certificates)

3. System Interfaces

3.1 Hardware-Software Interface (HAL)

Purpose: Abstract hardware details from software, enable hardware independence.

Interface Categories:

Display HAL:

// Display control
int display_init(display_config_t *config);
int display_set_brightness(uint8_t level);  // 0-255
int display_render_frame(frame_buffer_t *buffer);
int display_set_power_state(power_state_t state);

Sensor HAL:

// IMU
int imu_init(imu_config_t *config);
int imu_read(imu_data_t *data);
int imu_calibrate(calibration_type_t type);

// ToF
int tof_init(tof_config_t *config);
int tof_read_depth_map(depth_map_t *map);

// Health sensors
int health_sensor_init(health_config_t *config);
int health_read_hr(uint16_t *bpm);
int health_read_spo2(uint8_t *percent);

Audio HAL:

// Microphone
int mic_init(mic_config_t *config);
int mic_start_capture(audio_callback_t callback);
int mic_stop_capture();

// Speaker (bone conduction)
int speaker_init(speaker_config_t *config);
int speaker_play_audio(audio_buffer_t *buffer);
int speaker_set_volume(uint8_t level);

Power HAL:

// Battery management
int battery_get_level(uint8_t *percent);
int battery_get_voltage(uint16_t *millivolts);
int battery_get_temperature(int16_t *celsius);
int battery_get_health(battery_health_t *health);

// Charging
int charger_get_state(charger_state_t *state);
int charger_set_mode(charger_mode_t mode);

Camera HAL:

// Camera control
int camera_init(camera_config_t *config);
int camera_start_preview(preview_callback_t callback);
int camera_capture_photo(photo_params_t *params, photo_callback_t callback);
int camera_start_video(video_params_t *params);
int camera_stop_video();

3.2 OS-AI Interface

Purpose: Enable AI engine to access system resources and sensor data.

Interface Categories:

Sensor Context API:

# Get current activity state
activity = sensor_context.get_activity()  # walking, running, stationary, etc.

# Get spatial awareness
obstacles = sensor_context.get_obstacles(range_meters=5)
spatial_map = sensor_context.get_spatial_map()

# Get health metrics
hr = sensor_context.get_heart_rate()
fatigue_level = sensor_context.get_fatigue_level()

System Action API:

# Display actions
system_action.display_notification(title, body, priority)
system_action.display_hud_overlay(content, position, duration)

# Audio actions
system_action.play_sound(sound_id, volume)
system_action.speak_text(text, voice_params)

# Haptic feedback
system_action.vibrate(pattern, intensity)

Privacy Control API:

# Check permissions
can_record = privacy.check_permission(PERMISSION_CAMERA)
can_access_location = privacy.check_permission(PERMISSION_LOCATION)

# Request permissions
privacy.request_permission(PERMISSION_MICROPHONE, callback)

# Log privacy-sensitive actions
privacy.log_action(action_type, details)

3.3 AI-Application Interface

Purpose: Allow applications and skills to use AI capabilities.

AI Skill API:

# Natural language query
response = ai_engine.query("What's the weather?", context)

# Tool calling
result = ai_engine.call_tool("calculator.add", params={"a": 5, "b": 3})

# RAG query
documents = ai_engine.rag_search("user's past conversations about project")

# Context management
ai_engine.set_context(key="current_task", value="grocery shopping")
context = ai_engine.get_context()

3.4 Cloud-Device Interface

Purpose: Enable optional cloud services with privacy and security.

Cloud API Endpoints:

AI Boost:

POST /api/v1/ai/boost
Authorization: Bearer <device_token>
Content-Type: application/json

{
  "model": "claude-opus-4",
  "messages": [...],
  "max_tokens": 2000,
  "user_id_hash": "<anonymized>"
}

Backup & Sync:

POST /api/v1/sync/upload
Authorization: Bearer <device_token>
Content-Type: application/json

{
  "data_type": "rag_documents",
  "encrypted_data": "<base64_encrypted>",
  "timestamp": "2025-11-23T10:30:00Z"
}

OTA Updates:

GET /api/v1/ota/check_update
Authorization: Bearer <device_token>

Response:
{
  "update_available": true,
  "version": "2.1.0",
  "download_url": "https://...",
  "changelog": "..."
}

3.5 Companion App Interface

Purpose: Enable phone/tablet to interact with glasses.

Bluetooth LE GATT Services:

Device Control Service:

Service UUID: 0000180F-0000-1000-8000-00805F9B34FB
Characteristics:
  - Battery Level (Read, Notify)
  - Device Name (Read, Write)
  - Firmware Version (Read)
  - Power State (Read, Write)

Notification Service:

Service UUID: 0001ABCD-0000-1000-8000-00805F9B34FB
Characteristics:
  - Incoming Notification (Write, Notify)
  - Notification Action (Write)
  - Notification Clear (Write)

File Transfer Service:

Service UUID: 0002ABCD-0000-1000-8000-00805F9B34FB
Characteristics:
  - File Upload (Write)
  - File Download (Read, Notify)
  - Transfer Status (Read, Notify)

4. System Behavior and Modes

4.1 System States

Power States:

OFF
 ├─> BOOTING (5-10 seconds)
      ├─> IDLE (screen off, sensors minimal)
      ├─> ACTIVE (normal operation)
      ├─> LOW_POWER (battery < 15%, reduced features)
      └─> CRITICAL (battery < 5%, emergency only)
 └─> CHARGING (any state + plugged in)

Operating Modes:

NORMAL_MODE
 ├─> WALKING_ASSIST_MODE (obstacles detected, navigation active)
 ├─> FITNESS_MODE (health tracking active)
 ├─> WORK_MODE (SOP viewing, documentation)
 ├─> COMMUNICATION_MODE (call active, captions on)
 ├─> ENTERTAINMENT_MODE (media playback)
 └─> EMERGENCY_MODE (SOS triggered)

User States:

USER_ABSENT (no interaction for > 5 minutes)
 └─> USER_PRESENT (voice/gesture/touch detected)
      ├─> USER_ACTIVE (interacting with system)
      ├─> USER_IDLE (present but not interacting)
      └─> USER_STRESSED (elevated HR, fast movements detected)

4.2 State Transitions

Boot Sequence:

Hardware Initialization (0-2s)
- Power on SoC
- Initialize PMIC
- Check battery level
- Thermal check
Firmware Loading (2-5s)
- Load bootloader
- Verify boot image
- Load kernel
- Initialize drivers
System Services Start (5-8s)
- Start sensor hub
- Start display renderer
- Start audio manager
- Start AI runtime
Ready State (8-10s)
- Display boot complete animation
- Play ready chime
- Enter IDLE or ACTIVE based on user presence

Shutdown Sequence:

Graceful Shutdown Request
- Save all user data
- Close AI sessions
- Sync critical data (if cloud enabled)
- Stop system services
Hardware Shutdown
- Turn off displays
- Stop sensors
- Disconnect Bluetooth/Wi-Fi
- Power down SoC

Emergency Shutdown:

Triggered by: Battery critical ( < 2%), thermal critical ( > 55°C), hardware fault
Actions: Immediate save of critical data, fast shutdown, preserve power for emergency SOS

4.3 Mode Behavior

Walking Assist Mode:

Entry Condition: User standing/walking + obstacles detected
Active Features: ToF + LiDAR at max rate, obstacle alerts, ground hazard detection, haptic guidance
HUD: Proximity indicators, path overlay, hazard warnings
Exit Condition: User stationary > 30s, user disables manually

Fitness Mode:

Entry Condition: User starts workout or HR elevated for > 2 minutes
Active Features: Continuous HR/SpO₂ monitoring, activity tracking, AI coach active
HUD: Real-time metrics (HR, calories, time), coaching tips
Exit Condition: Workout stopped, HR returns to resting for > 5 minutes

Communication Mode:

Entry Condition: Phone call connected, video call started
Active Features: Live captions (if Deaf variant), call audio, noise cancellation
HUD: Caller name, call duration, captions (if enabled)
Exit Condition: Call ended

Emergency Mode:

Entry Condition: SOS triggered (voice, button, fall detection)
Active Features: GPS location shared, camera/mic recording, emergency contacts alerted, flashlight on
HUD: "EMERGENCY ACTIVE" in red, countdown timer
Exit Condition: User cancels (10s timeout), emergency contacts acknowledge

5. Data Flows

5.1 Voice Command Flow

USER: "Hey KLYRA, what's the weather?"
  ↓
[Microphone] → Capture audio
  ↓
[Audio Manager] → Preprocess, noise cancellation
  ↓
[Wake Word Detector] → Confirm "Hey KLYRA" detected
  ↓
[Whisper STT] → Transcribe to text: "what's the weather"
  ↓
[AI Runtime] → Parse intent: QUERY_WEATHER
  ↓
[AI Engine] → Check sensor context (location)
  ↓
[Tool Router] → Call weather_api.get_current(location)
  ↓
[Weather API] → Return data: {temp: 22, condition: "sunny"}
  ↓
[AI Engine] → Generate response: "It's 22 degrees and sunny"
  ↓
[Piper TTS] → Synthesize audio
  ↓
[Audio Manager] → Play audio through speakers
  ↓
[HUD] → Display: "22°C ☀️ Sunny"

5.2 Walking Assist Flow

[IMU] → Detect user walking (confidence > 80%)
  ↓
[System] → Enter WALKING_ASSIST_MODE
  ↓
[ToF Sensor] → Scan 0.2-4m range at 60 Hz
[LiDAR Sensor] → Scan 2-12m range at 100 Hz
  ↓
[Sensor Fusion] → Build obstacle map
  ↓
[Safety Intelligence] → Classify obstacles (critical, caution, info)
  ↓
IF obstacle detected < 2m AND in path:
  ↓
  [Haptic Motor] → Vibrate warning pattern
  [Audio] → "Obstacle ahead"
  [HUD] → Display red proximity indicator
  ↓
[Spatial Map] → Detect ground hazards (step, curb, hole)
  ↓
IF hazard detected > 3m away:
  ↓
  [HUD] → Display ground profile overlay
  [Audio] → "Step in 5 meters" (3s warning)
  ↓
[IMU] → Detect user stopped (velocity < 0.1 m/s for > 30s)
  ↓
[System] → Exit WALKING_ASSIST_MODE (return to IDLE)

5.3 Health Monitoring Flow

[System Boot] → Check if health sensors present
  ↓
IF health sensors available:
  ↓
  [Health Sensor Manager] → Initialize MAX30102 + MLX90614
  ↓
  [Fitness Mode] → Start continuous monitoring
  ↓
  EVERY 10 seconds:
    [MAX30102] → Read raw PPG signal
      ↓
    [DSP] → Filter, detect peaks
      ↓
    [Algorithm] → Calculate HR, SpO₂, HRV
      ↓
    [Data Store] → Log to local database
      ↓
    [AI Engine] → Analyze trends
      ↓
    IF HR anomaly detected (>threshold):
      [Alert System] → Notify user
      [HUD] → Display warning
      [Haptic] → Vibrate
      ↓
    IF fatigue detected (HRV > 3 SD below baseline):
      [AI Engine] → Suggest break
      [KLYRA] → "You seem tired, consider taking a break"

5.4 Fall Detection Flow

[IMU] → Continuous acceleration monitoring at 1000 Hz
  ↓
IF |acceleration| > 2.5g for > 100ms:
  ↓
  [Fall Detector] → POTENTIAL_FALL state
  ↓
  CHECK orientation change:
    IF angle > 45° change:
      ↓
      [Fall Detector] → HIGH_PROBABILITY_FALL state
      ↓
      CHECK stillness:
        IF |acceleration| < 0.2g for > 3s:
          ↓
          [Fall Detector] → FALL_CONFIRMED
          ↓
          [Emergency System] → Activate
          [HUD] → Display "FALL DETECTED - Cancel within 30s"
          [Audio] → "Fall detected, alerting emergency contacts"
          [Haptic] → Strong repeating vibration
          ↓
          IF user responds within 30s:
            [Emergency System] → Cancel alert
          ELSE:
            [Emergency System] → Send SOS
            [GPS] → Get location
            [Camera] → Start recording
            [Network] → Send alert to emergency contacts
            [Emergency Services] → Dial (if configured)

6. System Requirements

6.1 Functional Requirements

REQ-SYS-001: System Boot

Description: System shall boot from power-off to ready state within 10 seconds
Priority: High
Acceptance: User can interact with system within 10s of pressing power button

REQ-SYS-002: System Shutdown

Description: System shall perform graceful shutdown within 5 seconds
Priority: High
Acceptance: All data saved, no corruption, complete shutdown within 5s

REQ-SYS-003: State Transitions

Description: System shall transition between states smoothly with < 500ms latency
Priority: High
Acceptance: User perceives instantaneous mode changes

REQ-SYS-004: Multi-Modal Input

Description: System shall accept input via voice, gesture, touch, and gaze simultaneously
Priority: High
Acceptance: User can use any input method at any time, system disambiguates intent

REQ-SYS-005: Real-Time Performance

Description: System shall process critical functions (safety, navigation) with < 100ms latency
Priority: Critical
Acceptance: Walking assist alerts appear within 100ms of obstacle detection

REQ-SYS-006: Local-First Operation

Description: System shall operate fully offline for all core features
Priority: Critical
Acceptance: All features except cloud AI boost work without network

REQ-SYS-007: Data Privacy

Description: System shall not transmit user data without explicit consent
Priority: Critical
Acceptance: Privacy audit shows no unexpected data transmission

REQ-SYS-008: Graceful Degradation

Description: System shall continue operating when non-critical components fail
Priority: High
Acceptance: Camera failure doesn't prevent voice control, sensor failure doesn't prevent HUD

REQ-SYS-009: Battery Life

Description: System shall operate for 6-8 hours typical use on single charge
Priority: High
Acceptance: User can complete full work day without recharging

REQ-SYS-010: Thermal Management

Description: System shall maintain surface temperature < 40°C during normal operation
Priority: Critical
Acceptance: Thermal testing shows all surfaces remain comfortable to touch

6.2 Performance Requirements

Processing:

SoC utilization: < 70% average, < 90% peak
AI inference latency: < 500ms for 3B model, < 2s for 8B model
HUD render latency: < 20ms (50 FPS minimum)
Voice activation latency: < 300ms from wake word to ready
Gesture recognition latency: < 200ms from gesture to action

Memory:

RAM usage: < 3 GB average, < 4.5 GB peak (on 6 GB system)
Storage usage: < 20 GB for OS + core apps, < 50 GB with full models and data

Power:

Active power draw: 3-4W average, 5W peak
Idle power draw: < 500mW
Standby power draw: < 50mW
Charging time: 0-80% in 45 minutes, 0-100% in 75 minutes

Thermal:

SoC temperature: < 80°C under load
Battery temperature: < 45°C during charging, < 40°C during discharge
Surface temperature: < 38°C continuous, < 40°C peak
Thermal throttling: Activate at 75°C, aggressive at 80°C

Network:

Bluetooth range: > 10m in open space
Wi-Fi range: > 30m in open space
Cellular signal: Maintain connection with -100 dBm signal
Data transfer: > 1 MB/s sustained for sync

Sensors:

IMU sample rate: 200-1000 Hz
ToF update rate: 15-60 Hz
LiDAR update rate: 100 Hz
Health sensors: HR every 1s, SpO₂ every 5s
Camera: 4K@30fps or 1080p@60fps

6.3 Reliability Requirements

REQ-SYS-REL-001: Mean Time Between Failures (MTBF)

Target: > 10,000 hours
Acceptance: Reliability testing shows < 1% failure rate in 1000 hours

REQ-SYS-REL-002: Error Recovery

System shall recover from software errors without user intervention 95% of the time
Acceptance: Watchdog resets handle most crashes, user sees "System recovered" message

REQ-SYS-REL-003: Data Integrity

System shall prevent data corruption during crashes or power loss
Acceptance: Write-ahead logging, journaling filesystem, no user data loss

REQ-SYS-REL-004: Sensor Fault Tolerance

System shall continue operating with up to 2 sensor failures
Acceptance: IMU + ToF failure → system still functions with reduced features

REQ-SYS-REL-005: Update Reliability

System shall fail-safe during OTA updates (rollback if update fails)
Acceptance: 100% of failed updates automatically rollback to previous working version

6.4 Safety Requirements

REQ-SYS-SAFE-001: Optical Safety

Display brightness shall not exceed 4 mW/cm² to meet IEC 60825-1 Class 1
Acceptance: Optical power testing shows < 4 mW/cm² at all brightness levels

REQ-SYS-SAFE-002: Electrical Safety

System shall prevent electrical shock hazards (IEC 62368-1 compliance)
Acceptance: Insulation testing, touch current < 0.25 mA

REQ-SYS-SAFE-003: Battery Safety

System shall prevent battery thermal runaway and over-current
Acceptance: PCM disconnects at < 2.8V, > 4.25V, > 55°C, > 1.5A

REQ-SYS-SAFE-004: Fall Detection Reliability

Fall detection shall have > 90% true positive rate, < 5% false positive rate
Acceptance: Testing with 100 falls shows > 90 detected, testing with 1000 normal activities shows < 50 false positives

REQ-SYS-SAFE-005: Emergency Response

Emergency SOS shall activate within 2s of trigger
Acceptance: Button press or fall detection triggers SOS within 2s, all required data sent within 10s

REQ-SYS-SAFE-006: Thermal Safety

System shall shut down before surface temperature exceeds 50°C
Acceptance: Thermal testing shows automatic shutdown at 48-50°C, never exceeds 50°C

6.5 Usability Requirements

REQ-SYS-USE-001: Ease of Learning

New users shall be productive within 10 minutes of first use
Acceptance: User testing shows > 90% of users complete basic tasks within 10 minutes

REQ-SYS-USE-002: Accessibility

System shall be fully accessible to users with disabilities (WCAG 2.1 AAA)
Acceptance: Accessibility audit passes all WCAG 2.1 AAA criteria

REQ-SYS-USE-003: Multi-Language Support

System shall support 20+ languages for UI and voice
Acceptance: Full localization for English, Spanish, French, German, Italian, Portuguese, Japanese, Korean, Mandarin, Hindi, Arabic, and 10+ more

REQ-SYS-USE-004: Error Clarity

System shall provide clear, actionable error messages
Acceptance: User testing shows > 80% of users understand and resolve errors without help

REQ-SYS-USE-005: Consistency

System shall maintain consistent UI/UX across all modes and variants
Acceptance: Heuristic evaluation shows consistent navigation, terminology, and visual design

6.6 Maintainability Requirements

REQ-SYS-MAINT-001: Modularity

System components shall be independently updatable
Acceptance: Firmware update can target specific modules (OS, AI models, drivers) without full reflash

REQ-SYS-MAINT-002: Diagnostics

System shall provide comprehensive diagnostic data for troubleshooting
Acceptance: Diagnostic mode exposes all sensor data, logs, and system health metrics

REQ-SYS-MAINT-003: Remote Debugging

System shall support remote debugging for enterprise deployments
Acceptance: Enterprise admin can access device logs and run diagnostics remotely

REQ-SYS-MAINT-004: Logging

System shall log all errors, warnings, and critical events
Acceptance: Structured logging with severity levels, searchable, retained for 30 days

REQ-SYS-MAINT-005: Over-The-Air Updates

System shall support secure OTA updates for firmware and models
Acceptance: OTA updates delivered within 24 hours of release, automatic rollback on failure

7. System Integration

7.1 Integration Strategy

Phase 1: Hardware Integration (Weeks 1-4)

Integrate SoC with displays, sensors, power system
Validate all hardware interfaces functional
Test thermal management under load
Deliverable: Functional hardware prototype

Phase 2: OS Integration (Weeks 5-8)

Port KLYRA OS to hardware
Integrate HAL drivers for all components
Implement system services
Deliverable: Bootable OS with basic functionality

Phase 3: Sensor Fusion Integration (Weeks 9-12)

Integrate IMU, ToF, LiDAR processing
Implement spatial mapping
Integrate health sensor processing
Deliverable: Full sensor suite operational

Phase 4: AI Integration (Weeks 13-16)

Integrate local LLM
Integrate RAG engine
Implement Critical Thinking Kernel
Integrate Emotional Engine
Deliverable: AI assistant fully functional

Phase 5: UI Integration (Weeks 17-20)

Integrate HUD rendering
Integrate voice interface
Integrate gesture recognition
Implement KLYRA personality
Deliverable: Complete user interface

Phase 6: Connectivity Integration (Weeks 21-24)

Integrate Bluetooth, Wi-Fi
Implement companion app communication
Integrate optional cloud services
Deliverable: Full connectivity stack

Phase 7: System Integration Testing (Weeks 25-28)

End-to-end testing of all workflows
Performance testing under load
Reliability testing (long-duration)
Safety testing
Deliverable: Production-ready system

7.2 Integration Testing Approach

Component Testing:

Each subsystem tested independently
Interface contracts validated
Performance benchmarks measured

Integration Testing:

Subsystems tested in pairs (hardware-OS, OS-AI, AI-UI, etc.)
Data flow validation
Error handling verification

System Testing:

End-to-end user scenarios
Multi-modal interaction testing
Real-world usage simulation
Stress testing (thermal, battery, network)

Acceptance Testing:

User acceptance testing (UAT) with target personas
Accessibility testing with users with disabilities
Usability testing (SUS, NPS metrics)

7.3 Integration Challenges and Mitigations

Challenge 1: Real-Time Performance with AI

Risk: AI inference delays critical safety functions
Mitigation: Separate AI thread with lower priority, sensor fusion has direct path to alerts, < 100ms latency requirement for safety features

Challenge 2: Power and Thermal Management

Risk: AI processing causes overheating or battery drain
Mitigation: Dynamic throttling, model quantization, thermal monitoring, aggressive power management

Challenge 3: Sensor Data Synchronization

Risk: Sensors running at different rates cause fusion errors
Mitigation: Timestamp all sensor data, implement Kalman filter for fusion, buffer management

Challenge 4: Cloud Connectivity Reliability

Risk: Poor network causes user experience degradation
Mitigation: Local-first architecture, offline graceful degradation, explicit cloud opt-in

Challenge 5: Variant Configuration Management

Risk: Wrong firmware loaded on variant causes feature mismatch
Mitigation: Hardware ID detection, variant-specific firmware images, factory configuration locked

8. Failure Modes and Recovery

8.1 Hardware Failures

Display Failure:

Detection: Display initialization fails, no image output
Impact: Visual output unavailable
Recovery: Switch to voice-only mode, audio feedback for all interactions
User Notification: "Display error, operating in voice mode"

Camera Failure:

Detection: Camera initialization fails, black image
Impact: Photography, OCR, AR features unavailable
Recovery: Disable camera-dependent features, continue with sensors
User Notification: "Camera unavailable, some features disabled"

IMU Failure:

Detection: IMU not responding on I2C bus
Impact: Gesture recognition, activity detection unavailable
Recovery: Use ToF for limited gesture recognition, disable activity tracking
User Notification: "Motion sensor error, limited features"

ToF/LiDAR Failure:

Detection: Sensor not responding, invalid data
Impact: Walking assist, spatial mapping unavailable
Recovery: Audio-only obstacle warnings (if LiDAR still works), increased safety margins
User Notification: "Depth sensor error, use caution"

Health Sensor Failure:

Detection: No heartbeat detected, invalid readings
Impact: Health tracking unavailable
Recovery: Disable health features, continue other functions
User Notification: "Health sensors unavailable"

Battery Failure:

Detection: Battery not charging, voltage anomaly, over-temperature
Impact: Device may shut down unexpectedly
Recovery: Emergency save of critical data, alert user to replace battery
User Notification: "Battery fault detected, please service device"

8.2 Software Failures

AI Runtime Crash:

Detection: Watchdog timer expires, exception caught
Impact: AI features temporarily unavailable
Recovery: Restart AI runtime (5-10s), restore last known state
User Notification: "AI restarting, please wait"

Sensor Fusion Crash:

Detection: Fusion thread hangs, no spatial updates
Impact: Walking assist, navigation degraded
Recovery: Restart sensor fusion, recalibrate
User Notification: "Sensor system resetting"

Display Renderer Crash:

Detection: No frame updates, render thread dead
Impact: HUD frozen or black
Recovery: Restart renderer, reload last UI state
User Notification: Audio beep, "Display restarting"

Audio System Crash:

Detection: No audio output, microphone not capturing
Impact: Voice control unavailable, no audio feedback
Recovery: Restart audio manager, reinitialize HAL
User Notification: Visual alert on HUD

OS Kernel Panic:

Detection: Unrecoverable kernel error
Impact: Complete system failure
Recovery: Automatic reboot, capture crash dump
User Notification: "System error, rebooting"

8.3 Recovery Procedures

Soft Reset:

Trigger: User holds power button 3s
Action: Graceful shutdown and restart
Time: 15-20s to full operation

Hard Reset:

Trigger: User holds power button 10s
Action: Force shutdown, clear temporary data, full restart
Time: 20-30s to full operation

Factory Reset:

Trigger: User selects in settings or recovery mode
Action: Erase all user data, restore factory firmware
Time: 2-5 minutes

Emergency Recovery Mode:

Trigger: Boot failure 3 times in a row
Action: Enter minimal OS, allow reinstall firmware
Features: Flash new firmware via USB, restore from backup

9. System Testing

9.1 Test Strategy

Unit Testing:

Test individual functions and classes
Coverage target: > 80%
Automated in CI/CD pipeline

Integration Testing:

Test subsystem interfaces
Validate data flows
Test error handling

System Testing:

End-to-end user scenarios
Performance testing
Reliability testing
Safety testing

Acceptance Testing:

User acceptance testing (UAT)
Accessibility testing
Usability testing

9.2 Test Environments

Simulation Environment:

Virtual hardware platform
Sensor data playback
Automated testing
Use: Early development, regression testing

Prototype Hardware:

Development kits (RK3588 dev board)
Breakout boards for sensors
Use: Hardware bringup, driver development

EVT (Engineering Validation Test) Units:

First complete prototypes
Use: Hardware validation, early integration testing

DVT (Design Validation Test) Units:

Near-final hardware
Use: Full system testing, performance validation

PVT (Production Validation Test) Units:

Final production design
Use: Production readiness validation

Production Units:

Factory production line
Use: Quality assurance, field testing

9.3 Key Test Cases

TC-SYS-001: Boot Test

Objective: Verify system boots within 10 seconds
Steps: Power on device, measure time to ready state
Pass Criteria: System ready within 10s, all subsystems initialized

TC-SYS-002: Voice Command Test

Objective: Verify voice commands processed correctly
Steps: Say "Hey KLYRA, what's the weather?", verify response
Pass Criteria: Command recognized within 300ms, correct response provided

TC-SYS-003: Walking Assist Test

Objective: Verify walking assist detects obstacles
Steps: Place obstacle in front of user, verify alert
Pass Criteria: Obstacle detected within 100ms, alert provided (haptic + audio + HUD)

TC-SYS-004: Fall Detection Test

Objective: Verify fall detection triggers SOS
Steps: Simulate fall (drop device from 1.2m), verify detection
Pass Criteria: Fall detected, SOS countdown starts, cancel option provided

TC-SYS-005: Battery Life Test

Objective: Verify 6-8 hour battery life
Steps: Fully charge, use typical mixed workload, measure runtime
Pass Criteria: Device operates for 6+ hours before shutdown

TC-SYS-006: Thermal Test

Objective: Verify surface temperature < 40°C
Steps: Run intensive workload (AI + camera + sensors), measure surface temp
Pass Criteria: All surfaces remain < 40°C after 30 minutes

TC-SYS-007: Sensor Fusion Test

Objective: Verify accurate spatial mapping
Steps: Walk through obstacle course, compare detected map to ground truth
Pass Criteria: > 90% of obstacles detected, < 10% false positives

TC-SYS-008: Graceful Degradation Test

Objective: Verify system continues operating with component failures
Steps: Disable ToF sensor, verify system still functions
Pass Criteria: System continues with reduced features, user notified

TC-SYS-009: OTA Update Test

Objective: Verify firmware can be updated over-the-air
Steps: Trigger OTA update, verify installation, verify rollback on failure
Pass Criteria: Update completes successfully or rolls back gracefully

TC-SYS-010: Multi-Modal Input Test

Objective: Verify system handles simultaneous voice + gesture + touch
Steps: Use voice command while gesturing, verify correct intent resolved
Pass Criteria: System correctly disambiguates and executes intended action

10. System Documentation

10.1 Technical Documentation

System Architecture Document (this document)

Overall system design
Component integration
Interfaces and APIs
Requirements and constraints

Hardware Design Document

PCB schematics
Bill of materials (BOM)
Mechanical drawings (CAD)
Thermal simulation results

Software Architecture Document

OS architecture
AI engine design
Software modules and dependencies
Code structure and conventions

API Reference Documentation

HAL API specifications
System service APIs
Application APIs
Cloud APIs

Test Plan and Results

Test strategy and approach
Test cases and procedures
Test results and metrics
Known issues and limitations

10.2 User Documentation

User Manual

Getting started guide
Feature descriptions
Troubleshooting
Safety information

Quick Start Guide

Initial setup (5 minutes)
Basic usage
Charging instructions

Accessibility Guide

Features for users with disabilities
Customization options
Assistive technology integration

Developer Documentation

SDK installation and setup
API usage examples
Skill development guide
Debugging and testing

10.3 Manufacturing Documentation

Assembly Instructions

Step-by-step assembly process
Tooling requirements
Quality checkpoints

Test Procedures

Incoming QC tests
In-process tests
Final QC tests
Burn-in procedures

Calibration Procedures

Sensor calibration
Display calibration
Audio calibration

Packaging Specifications

Packaging materials
Labeling requirements
Shipping instructions

11. Traceability Matrix

System Req	Component Req	Test Case	Status
REQ-SYS-001	REQ-HW-001, REQ-SW-001	TC-SYS-001	✓
REQ-SYS-002	REQ-SW-010	TC-SYS-009	✓
REQ-SYS-003	REQ-SW-020	TC-SYS-010	✓
REQ-SYS-004	REQ-UX-010, REQ-UX-020	TC-SYS-010	✓
REQ-SYS-005	REQ-SENSOR-100	TC-SYS-003, TC-SYS-007	✓
REQ-SYS-006	REQ-AI-050	TC-SYS-002	✓
REQ-SYS-007	REQ-CONN-040	TC-SYS-002	✓
REQ-SYS-008	REQ-SW-100	TC-SYS-008	✓
REQ-SYS-009	REQ-HW-080	TC-SYS-005	✓
REQ-SYS-010	REQ-HW-085	TC-SYS-006	✓

12. Glossary

Term	Definition
HAL	Hardware Abstraction Layer - software interface to hardware
SoC	System on Chip - integrated processor with CPU, GPU, NPU
ToF	Time of Flight - depth sensing technology
LiDAR	Light Detection and Ranging - laser distance measurement
IMU	Inertial Measurement Unit - motion sensor (accelerometer + gyroscope + magnetometer)
HUD	Heads-Up Display - visual information projected on glasses
VUI	Voice User Interface - speech-based interaction
KLYRA	AI personality and OS name for GROOT FORCE
RAG	Retrieval-Augmented Generation - AI with document retrieval
PMIC	Power Management IC - controls power distribution
OTA	Over-The-Air - wireless firmware updates
MTBF	Mean Time Between Failures - reliability metric
WCAG	Web Content Accessibility Guidelines - accessibility standards
EVT	Engineering Validation Test - early prototype phase
DVT	Design Validation Test - near-final prototype phase
PVT	Production Validation Test - final prototype phase

13. Document Approval

Approved by:

END OF SYSTEM REQUIREMENTS SPECIFICATION

This SRS defines the complete GROOT FORCE system architecture - how all components integrate into a unified, cohesive platform. From hardware to AI to cloud, from boot sequence to emergency shutdown, from voice commands to fall detection, this document ensures that every piece works together seamlessly. The system is greater than the sum of its parts, and this SRS is the blueprint that makes it all possible. One system. Perfect integration. Zero compromises.

Document Control​

1. Executive Summary​

1.1 Purpose​

1.2 System Overview​

1.3 Scope​

1.4 Related Documents​

2. System Architecture​

2.1 Architectural Principles​

2.2 System Layers​

Layer 1: Hardware Platform​

Layer 2: Operating System (KLYRA OS)​

Layer 3: AI Engine​

Layer 4: Sensor Fusion​

Layer 5: User Interface​

Layer 6: Connectivity​

Layer 7: Cloud Services (Optional)​

3. System Interfaces​

3.1 Hardware-Software Interface (HAL)​

3.2 OS-AI Interface​

3.3 AI-Application Interface​

3.4 Cloud-Device Interface​

3.5 Companion App Interface​

4. System Behavior and Modes​

4.1 System States​

4.2 State Transitions​

4.3 Mode Behavior​

5. Data Flows​

5.1 Voice Command Flow​

5.2 Walking Assist Flow​

5.3 Health Monitoring Flow​

5.4 Fall Detection Flow​

6. System Requirements​

6.1 Functional Requirements​

6.2 Performance Requirements​

6.3 Reliability Requirements​

6.4 Safety Requirements​

6.5 Usability Requirements​

6.6 Maintainability Requirements​

7. System Integration​

7.1 Integration Strategy​

7.2 Integration Testing Approach​

7.3 Integration Challenges and Mitigations​

8. Failure Modes and Recovery​

8.1 Hardware Failures​

8.2 Software Failures​

8.3 Recovery Procedures​

9. System Testing​

9.1 Test Strategy​

9.2 Test Environments​

9.3 Key Test Cases​

10. System Documentation​

10.1 Technical Documentation​

10.2 User Documentation​

10.3 Manufacturing Documentation​

11. Traceability Matrix​

12. Glossary​

13. Document Approval​

Document Control

1. Executive Summary

1.1 Purpose

1.2 System Overview

1.3 Scope

1.4 Related Documents

2. System Architecture

2.1 Architectural Principles

2.2 System Layers

Layer 1: Hardware Platform

Layer 2: Operating System (KLYRA OS)

Layer 3: AI Engine

Layer 4: Sensor Fusion

Layer 5: User Interface

Layer 6: Connectivity

Layer 7: Cloud Services (Optional)

3. System Interfaces

3.1 Hardware-Software Interface (HAL)

3.2 OS-AI Interface

3.3 AI-Application Interface

3.4 Cloud-Device Interface

3.5 Companion App Interface

4. System Behavior and Modes

4.1 System States

4.2 State Transitions

4.3 Mode Behavior

5. Data Flows

5.1 Voice Command Flow

5.2 Walking Assist Flow

5.3 Health Monitoring Flow

5.4 Fall Detection Flow

6. System Requirements

6.1 Functional Requirements

6.2 Performance Requirements

6.3 Reliability Requirements

6.4 Safety Requirements

6.5 Usability Requirements

6.6 Maintainability Requirements

7. System Integration

7.1 Integration Strategy

7.2 Integration Testing Approach

7.3 Integration Challenges and Mitigations

8. Failure Modes and Recovery

8.1 Hardware Failures

8.2 Software Failures

8.3 Recovery Procedures

9. System Testing

9.1 Test Strategy

9.2 Test Environments

9.3 Key Test Cases

10. System Documentation

10.1 Technical Documentation

10.2 User Documentation

10.3 Manufacturing Documentation

11. Traceability Matrix

12. Glossary

13. Document Approval