AV Platform SDK Documentation

The industry's first AI-powered platform specifically designed for Commercial Audio Video system programming, integration, and deployment.

Version: 1.0.0 | License: Enterprise | Framework: Next.js 15 + TypeScript + AV Protocol Engine

Overview

The AV Platform SDK revolutionizes how AV professionals design, program, and deploy commercial audio video systems. By combining advanced AI capabilities with deep AV industry knowledge, we enable integrators to build complex systems in a fraction of the traditional time.

Industry-First Features

  • 10,000+ Device Library - Pre-built drivers for major AV manufacturers
  • Protocol Intelligence - AI that understands RS-232, TCP/IP, and proprietary protocols
  • Virtual AV Lab - Test complete systems without physical hardware
  • Multi-Platform Support - Q-SYS, Crestron, AMX, Biamp, Extron, and more
  • Signal Flow Visualization - Real-time audio/video routing diagrams
  • Automated Commissioning - AI-driven system testing and optimization

Supported AV Platforms

Q-SYS

Full integration with QSC's ecosystem including Core processors, UCI generation, and Lua scripting

Crestron

Support for 3-Series, 4-Series, SIMPL#, and VTP touch panel design

Biamp

Tesira configuration, block programming, and Voip integration

Extron

Matrix switching, scaling, and control system programming

Technology Stack

Category Technology Purpose
Core Framework Next.js 15 + TypeScript Modern web platform with type safety
AV Protocol Engine Custom Protocol Parser Handles RS-232, TCP/IP, UDP protocols
Device Emulation Virtual Device Framework Simulate real AV hardware behavior
AI Integration Multi-Model AI with AV Training Protocol-aware code generation
Signal Processing Audio/Video Pipeline Engine Model signal flow and processing
Testing Framework AV Test Suite Automated commissioning and validation

Quick Start

Get up and running with a complete AV control system in minutes.

Prerequisites

  • Node.js 18+ and npm/yarn/pnpm
  • Git for version control
  • Basic understanding of AV systems
  • API keys for AI providers (for advanced features)

Installation

# Clone the repository
git clone https://github.com/your-org/av-platform-sdk.git
cd av-platform-sdk

# Install dependencies
npm install

# Set up environment variables
cp .env.example .env.local

# Initialize device library
npm run init-devices

# Start the development server
npm run dev

Your First AV System

import { AVSystem, Device, SignalFlow } from '@/lib/av-core'

// Create a simple conference room system
const conferenceRoom = new AVSystem({
  name: 'Executive Conference Room',
  devices: [
    new Device({
      type: 'display',
      manufacturer: 'Samsung',
      model: 'QM85R',
      protocol: 'rs232',
      address: '/dev/ttyUSB0'
    }),
    new Device({
      type: 'audio_dsp',
      manufacturer: 'QSC',
      model: 'Core110f',
      protocol: 'tcp',
      address: '192.168.1.100'
    })
  ]
})

// Define signal routing
conferenceRoom.addSignalPath({
  source: 'laptop_input',
  destination: 'display_1',
  processing: ['scaler', 'edid_manager']
})

Natural Language System Design

AI Prompt: "Create a 20-person conference room with wireless presentation, ceiling mics, video conferencing, and room combining"

Result: Complete system design with equipment list, wiring diagrams, and control programming

AI Code Generation

The platform generates all the code you need:

  • Control System Code - Complete programs for Crestron, Q-SYS, AMX
  • Device Drivers - Custom drivers for any AV equipment
  • Touch Panel Interfaces - UI layouts and logic
  • DSP Configuration - Audio processing scripts
  • Integration Code - APIs and webhooks

Simply describe what you need, and the AI generates production-ready code!

AV System Architecture

The platform's architecture is specifically designed for the unique requirements of commercial AV systems.

System Overview

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                    User Interface                    β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚
β”‚  β”‚System Designβ”‚ β”‚Device Controlβ”‚ β”‚Signal Flow   β”‚ β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                          β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                  AV Control Core                     β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚
β”‚  β”‚   HAL       β”‚ β”‚Protocol Engineβ”‚ β”‚Signal Router β”‚ β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                          β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                Specialized AV Agents                 β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚
β”‚  β”‚Protocol Agentβ”‚ β”‚Hardware Agentβ”‚ β”‚Commissioning β”‚ β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                          β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚              Virtual AV Laboratory                   β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚
β”‚  β”‚Virtual Devicesβ”‚ β”‚Network Sim  β”‚ β”‚Signal Gen    β”‚ β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Hardware Abstraction Layer (HAL)

The HAL provides a unified interface to control any AV device regardless of manufacturer or protocol.

interface AVDevice {
  // Device identification
  id: string
  manufacturer: string
  model: string
  firmwareVersion?: string
  
  // Communication settings
  protocol: 'rs232' | 'tcp' | 'udp' | 'websocket' | 'ssh' | 'telnet'
  connection: {
    address: string  // COM port or IP address
    port?: number
    baudRate?: number
    dataBits?: number
    stopBits?: number
    parity?: 'none' | 'even' | 'odd'
  }
  
  // Device capabilities
  capabilities: DeviceCapability[]
  commands: DeviceCommand[]
  feedback: FeedbackPattern[]
  
  // Real-time status
  status: DeviceStatus
  lastSeen: Date
}

Hardware Abstraction Layer

The HAL enables seamless control of thousands of AV devices through a unified interface.

Device Definition

// Example: Samsung Display Driver
export const SamsungQM85R: DeviceDefinition = {
  manufacturer: 'Samsung',
  model: 'QM85R',
  type: 'display',
  
  commands: {
    power: {
      on: Buffer.from([0xAA, 0x11, 0x00, 0x01, 0x01, 0x13]),
      off: Buffer.from([0xAA, 0x11, 0x00, 0x01, 0x00, 0x12]),
      query: Buffer.from([0xAA, 0x11, 0x00, 0x00, 0x11])
    },
    input: {
      hdmi1: Buffer.from([0xAA, 0x14, 0x00, 0x01, 0x21, 0x36]),
      hdmi2: Buffer.from([0xAA, 0x14, 0x00, 0x01, 0x23, 0x38]),
      displayport: Buffer.from([0xAA, 0x14, 0x00, 0x01, 0x25, 0x3A])
    },
    volume: {
      set: (level: number) => {
        const checksum = (0xAA + 0x12 + 0x00 + 0x01 + level) & 0xFF
        return Buffer.from([0xAA, 0x12, 0x00, 0x01, level, checksum])
      }
    }
  },
  
  feedback: {
    power: {
      pattern: /\xAA\xFF\x00\x03\x41[\x00\x01]/,
      parse: (data: Buffer) => data[5] === 0x01 ? 'on' : 'off'
    }
  },
  
  timing: {
    commandDelay: 100,  // ms between commands
    responseTimeout: 500,
    warmupTime: 45000  // 45 seconds from cold start
  }
}

Protocol Handlers

class RS232Handler extends ProtocolHandler {
  async connect(config: RS232Config) {
    this.port = new SerialPort({
      path: config.port,
      baudRate: config.baudRate || 9600,
      dataBits: config.dataBits || 8,
      stopBits: config.stopBits || 1,
      parity: config.parity || 'none'
    })
  }
  
  async sendCommand(command: Buffer): Promise {
    await this.port.write(command)
    return this.waitForResponse()
  }
}
class TCPHandler extends ProtocolHandler {
  async connect(config: TCPConfig) {
    this.socket = new Socket()
    await this.socket.connect(config.port, config.host)
  }
  
  async sendCommand(command: string | Buffer): Promise {
    this.socket.write(command)
    return this.waitForResponse()
  }
}
class WebSocketHandler extends ProtocolHandler {
  async connect(config: WebSocketConfig) {
    this.ws = new WebSocket(config.url)
    await this.waitForOpen()
  }
  
  async sendCommand(command: any): Promise {
    this.ws.send(JSON.stringify(command))
    return this.waitForResponse()
  }
}

Protocol Engine

The intelligent protocol engine understands and generates commands for thousands of AV devices.

AI-Powered Protocol Generation

// Natural language to protocol command
const command = await protocolEngine.generate({
  device: 'Samsung QM85R',
  action: 'Turn on the display and switch to HDMI 1'
})

// Result:
// [
//   { hex: 'AA 11 00 01 01 13', description: 'Power On' },
//   { delay: 1000 },
//   { hex: 'AA 14 00 01 21 36', description: 'Switch to HDMI 1' }
// ]

Protocol Analysis

Real-Time Protocol Analyzer

  • Capture and decode RS-232/TCP traffic
  • Identify device types from protocol signatures
  • Generate device drivers from captured data
  • Validate protocol timing requirements

Signal Flow Management

Model and visualize complex audio/video signal routing through your AV system.

Signal Path Definition

interface SignalPath {
  id: string
  type: 'audio' | 'video' | 'usb' | 'control'
  source: DevicePort
  destination: DevicePort
  
  // Signal processing chain
  processing: ProcessingNode[]
  
  // Routing configuration
  routing: {
    matrix?: MatrixConfig
    priority: number
    autoSwitch: boolean
  }
  
  // Signal characteristics
  format: SignalFormat
  resolution?: VideoResolution
  audioChannels?: number
  sampleRate?: number
}

Audio DSP Modeling

// Model a QSC Q-SYS audio flow
const audioFlow = new AudioSignalFlow({
  inputs: [
    { id: 'mic_1', type: 'analog', phantom: true },
    { id: 'mic_2', type: 'analog', phantom: true }
  ],
  
  processing: [
    { type: 'automixer', 
      config: { mode: 'gating', holdTime: 400 } },
    { type: 'aec', 
      config: { tailLength: 200 } },
    { type: 'compressor', 
      config: { threshold: -20, ratio: 3 } }
  ],
  
  outputs: [
    { id: 'speaker_out', type: 'analog', channels: 2 },
    { id: 'usb_out', type: 'usb', device: 'teams_room' }
  ]
})

Control System Programming

Build sophisticated control logic for any AV platform using our unified programming model.

Event-Driven Programming

// Universal control logic (compiles to platform-specific code)
class ConferenceRoomControl extends AVControlSystem {
  @Device('display_1') display: Display
  @Device('audio_dsp') dsp: AudioProcessor
  @Device('vc_codec') codec: VideoConferenceCodec
  
  @TouchPanel('main_panel')
  setupUI(panel: TouchPanel) {
    panel.button('power_on').onPress = () => this.powerOnSequence()
    panel.button('vc_call').onPress = () => this.startVideoCall()
    panel.slider('volume').onChange = (val) => this.setVolume(val)
  }
  
  async powerOnSequence() {
    await this.display.setPower(true)
    await this.wait(2000)  // Display warmup
    await this.dsp.recall('conference_preset')
    await this.updateUI({ mode: 'active' })
  }
  
  @Scheduled('0 18 * * *')  // 6 PM daily
  async autoShutdown() {
    if (!this.codec.inCall) {
      await this.powerOffSequence()
    }
  }
}

Platform Compilation

Write once, deploy everywhere. Our compiler generates native code for each platform:

-- Generated Q-SYS Lua code
Controls.power_on.EventHandler = function()
  Device.SendString("display_1", "\xAA\x11\x00\x01\x01\x13")
  Timer.CallAfter(function()
    Component.recall("conference_preset")
  end, 2)
end
// Generated Crestron SIMPL# code
namespace ConferenceRoom {
  public class ControlSystem : CrestronControlSystem {
    private Display display;
    private AudioDsp dsp;
    
    void PowerOnSequence() {
      display.PowerOn();
      Thread.Sleep(2000);
      dsp.RecallPreset("conference_preset");
    }
  }
}
// Generated AMX NetLinx code
DEFINE_EVENT
BUTTON_EVENT[dvTP, BTN_POWER_ON] {
  PUSH: {
    SEND_STRING dvDisplay, "$AA,$11,$00,$01,$01,$13"
    WAIT 20 {
      SEND_COMMAND dvDSP, "'RECALL-conference_preset'"
    }
  }
}

Q-SYS Integration

Deep integration with QSC's Q-SYS ecosystem for audio processing and control.

Core Control

import { QSYSCore } from '@/lib/platforms/qsys'

const core = new QSYSCore({
  host: '192.168.1.100',
  port: 1710,
  username: 'admin',
  password: 'admin'
})

// Control named components
await core.component('gain_1').set('gain', -10)
await core.component('router_1').set('select', 3)

// Monitor changes
core.component('level_meter').onChange('level', (value) => {
  console.log('Audio level:', value)
})

UCI Generation

Automatic UCI Creation

Generate Q-SYS User Control Interfaces from natural language descriptions:

  • AI-designed layouts optimized for usability
  • Automatic control binding
  • Responsive design for different screen sizes
  • Corporate branding integration

Crestron Integration

Comprehensive support for Crestron control systems and touch panels.

SIMPL# Development

// Write modern TypeScript, compile to SIMPL#
@CrestronDevice('pro4')
class MeetingRoomSystem extends CrestronControlSystem {
  @SerialPort(1) display: SamsungDisplay
  @EthernetDevice('192.168.1.50') lighting: LutronQuantum
  
  @SmartGraphics('meeting_room.vtp')
  touchPanel: XPanel
  
  async initialize() {
    this.touchPanel.onSmartObject('source_list', (item) => {
      this.routeSource(item.index)
    })
  }
}

Touch Panel Design

AI-powered touch panel generation with Smart Graphics support:

  • Generate VTP files from requirements
  • Automatic Smart Object creation
  • Subpage management
  • Icon and graphics library

Protocol Agent

The Protocol Agent is an AI specialist trained on thousands of AV device protocols.

Capabilities

  • Protocol Identification - Recognizes protocol patterns from packet captures
  • Command Generation - Creates correct command sequences with timing
  • Error Detection - Identifies protocol violations and timing issues
  • Documentation Search - Finds obscure protocol documentation
  • Reverse Engineering - Derives protocols from device behavior

Example Usage

// Ask the Protocol Agent
const response = await protocolAgent.query({
  question: "How do I control a Kramer VS-88H matrix switcher?",
  context: {
    model: 'VS-88H',
    connection: 'rs232',
    task: 'route input 3 to output 5'
  }
})

// Agent responds with:
// Protocol: Kramer Protocol 2000
// Command: #VID 3>5
// Hex: 23 56 49 44 20 33 3E 35 0D
// Timing: Wait 25ms for acknowledgment

Hardware Emulation Agent

Test complete AV systems without physical hardware using our virtual device framework.

Virtual Device Creation

// Create virtual AV devices
const virtualLab = new VirtualAVLab()

// Add a virtual display
const display = await virtualLab.addDevice({
  type: 'display',
  model: 'Samsung QM85R',
  behavior: {
    powerOnTime: 45000,  // 45 seconds
    inputSwitchTime: 500,
    supportedInputs: ['hdmi1', 'hdmi2', 'displayport']
  }
})

// Add virtual audio DSP
const dsp = await virtualLab.addDevice({
  type: 'audio_processor',
  model: 'Biamp TesiraFORTE',
  channels: { inputs: 12, outputs: 8 },
  dspBlocks: ['aec', 'automixer', 'matrix', 'eq']
})

// Test system behavior
await virtualLab.runTest({
  name: 'Morning Startup Sequence',
  steps: [
    { action: 'power_on_all', expectedTime: 50000 },
    { action: 'route_audio', verify: 'signal_present' },
    { action: 'adjust_levels', target: -10 }
  ]
})

Network Behavior Simulation

Simulate real-world network conditions:

  • Packet loss and latency
  • Device timeout behavior
  • Network congestion effects
  • Multicast/broadcast traffic

Commissioning Agent

Automated system testing and optimization powered by AI.

Commissioning Workflow

// Define commissioning plan
const commissioning = new CommissioningPlan({
  system: 'Executive Boardroom',
  
  tests: [
    {
      name: 'Device Communication',
      verify: ['all_devices_responding', 'firmware_versions']
    },
    {
      name: 'Audio Calibration',
      steps: [
        'generate_pink_noise',
        'measure_spl_at_positions',
        'calculate_eq_curve',
        'verify_speech_intelligibility'
      ]
    },
    {
      name: 'Video Signal Integrity',
      verify: ['edid_management', 'hdcp_compliance', '4k60_support']
    },
    {
      name: 'Control System',
      verify: ['all_buttons_mapped', 'feedback_working', 'presets_recall']
    }
  ]
})

// Execute commissioning
const results = await commissioningAgent.execute(commissioning)

// Generate report
await commissioningAgent.generateReport({
  format: 'pdf',
  include: ['test_results', 'photos', 'measurements', 'sign_off']
})

Performance Optimization

AI-Driven Optimization

  • Automatic gain structure optimization
  • Acoustic echo cancellation tuning
  • Video timing adjustment
  • Network QoS configuration
  • Control system response time optimization

Device Control API

RESTful API for controlling AV devices and systems.

POST /api/devices/{deviceId}/control

POST

Send control commands to a device.

Request Body

{
  "command": "setPower",
  "parameters": {
    "state": "on"
  },
  "verify": true
}

GET /api/devices/{deviceId}/status

GET

Get current device status and telemetry.

Response

{
  "deviceId": "display_1",
  "online": true,
  "status": {
    "power": "on",
    "input": "hdmi1",
    "volume": 25,
    "temperature": 42.5
  },
  "lastSeen": "2024-01-15T10:30:00Z",
  "errors": []
}

WebSocket Device Monitoring

// Real-time device monitoring
const ws = new WebSocket('ws://localhost:3000/api/devices/monitor')

ws.on('message', (data) => {
  const event = JSON.parse(data)
  
  switch (event.type) {
    case 'device.status':
      updateDeviceUI(event.deviceId, event.status)
      break
    case 'device.error':
      handleDeviceError(event.deviceId, event.error)
      break
    case 'signal.change':
      updateSignalFlow(event.path, event.active)
      break
  }
})

Virtual Devices

Complete AV device emulation for testing and development.

Device Behavior Modeling

class VirtualDisplay extends VirtualDevice {
  state = {
    power: 'off',
    input: 'hdmi1',
    volume: 50,
    warming: false
  }
  
  async handleCommand(cmd: DeviceCommand) {
    switch (cmd.type) {
      case 'power':
        if (cmd.value === 'on' && this.state.power === 'off') {
          this.state.warming = true
          this.respond({ status: 'warming' })
          
          // Simulate warmup time
          setTimeout(() => {
            this.state.warming = false
            this.state.power = 'on'
            this.respond({ status: 'ready' })
          }, this.config.warmupTime)
        }
        break
        
      case 'input':
        if (this.state.power === 'on' && !this.state.warming) {
          // Simulate input switch delay
          await this.delay(500)
          this.state.input = cmd.value
          this.respond({ input: cmd.value })
        }
        break
    }
  }
}

Protocol Accuracy

Virtual devices accurately simulate:

  • Command acknowledgments and responses
  • Timing requirements and delays
  • Error conditions and edge cases
  • Power-up sequences and state transitions
  • Feedback and status reporting

Real-World Examples

Complete AV system implementations using the platform.

Corporate Boardroom

// Complete boardroom system with AI assistance
const boardroom = await AVSystemDesigner.create({
  roomType: 'executive_boardroom',
  capacity: 20,
  
  requirements: [
    'wireless_presentation',
    'video_conferencing',
    'room_combining',
    'recording_capability',
    'lighting_control',
    'shade_control'
  ],
  
  preferences: {
    brands: ['Crestron', 'QSC', 'Samsung', 'Shure'],
    budget: 'premium',
    aesthetics: 'minimal_visible_equipment'
  }
})

// AI generates complete system:
// - Equipment list with model numbers
// - Rack elevation drawings
// - Cable schedules
// - Control system code
// - Touch panel layouts
// - Commissioning checklist

Higher Education Classroom

// Hybrid learning classroom
const classroom = new HybridClassroom({
  displays: [
    { position: 'front', size: 98, count: 2 },
    { position: 'confidence', size: 32, count: 1 }
  ],
  
  audio: {
    microphones: 'ceiling_array',
    speakers: 'distributed_ceiling',
    processing: 'auto_mixing_with_camera_tracking'
  },
  
  cameras: [
    { type: 'ptz', position: 'rear', preset: 'instructor' },
    { type: 'ptz', position: 'side', preset: 'whiteboard' },
    { type: 'overview', position: 'rear_wide' }
  ],
  
  streaming: {
    platform: 'zoom_rooms',
    recording: 'panopto',
    overflow: 'adjacent_classroom'
  }
})

Troubleshooting

Common AV system issues and solutions.

Device Communication Issues

Issue: Device not responding to commands

Diagnostic Steps:

  1. Check physical connections (RS-232 pins, Ethernet link)
  2. Verify communication parameters (baud rate, IP address)
  3. Use Protocol Analyzer to monitor traffic
  4. Test with Virtual Device to isolate issue

Signal Flow Problems

Issue: No video signal at display

AI Diagnostic:

await troubleshootingAgent.diagnose({
  symptom: 'no_video_output',
  system: currentSystem,
  // AI will trace signal path and identify issues
})

Performance Optimization

  • Use connection pooling for TCP devices
  • Implement command queuing for serial devices
  • Cache device states to reduce polling
  • Use multicast for identical commands
  • Optimize feedback parsing with compiled regex

Installation

Detailed installation instructions for the AV Platform SDK.

System Requirements

  • Node.js 18.0 or higher
  • 8GB RAM minimum (16GB recommended)
  • 10GB free disk space
  • Windows 10/11, macOS 12+, or Linux

Device Drivers

Pre-built drivers for thousands of AV devices.

Driver Architecture

Our device driver system provides standardized interfaces for all AV equipment types.

Biamp Integration

Complete integration with Biamp Tesira DSP systems.

Tesira Control

const tesira = new BiampTesira({
  host: '192.168.1.200',
  port: 23 // Telnet
})

// Control DSP blocks
await tesira.set('Level1', 'level', -10)
await tesira.get('Meter1', 'level')

Extron Integration

Support for Extron matrix switchers, scalers, and control processors.

SIS Protocol

Full implementation of Extron's Simple Instruction Set (SIS) protocol.

Signal Flow Agent

AI agent specialized in audio/video signal routing and processing.

Capabilities

  • Automatic signal path optimization
  • EDID management
  • Format conversion planning
  • Bandwidth calculations

System Orchestrator

The master coordinator that manages all other agents to accomplish complex AV system tasks.

Orchestration Process

The System Orchestrator breaks down high-level requirements into specific tasks and delegates them to specialized agents:

  1. Task Analysis - Understands project requirements
  2. Agent Selection - Chooses the right agents for each task
  3. Coordination - Manages inter-agent communication
  4. Result Synthesis - Combines outputs into deliverables

Example Workflow

// User request: "Create a corporate boardroom AV system"

orchestrator.processRequest({
  type: "system_design",
  requirements: [
    "20 person capacity",
    "Video conferencing",
    "Wireless presentation",
    "Room combining capability"
  ]
})

// Orchestrator delegates to:
// 1. Signal Flow Agent β†’ Design routing architecture
// 2. Protocol Agent β†’ Select compatible devices
// 3. Hardware Emulation β†’ Test system virtually
// 4. Commissioning Agent β†’ Create test procedures

Protocol API

Low-level protocol implementation API.

Custom Protocol Definition

const customProtocol = new ProtocolDefinition({
  name: 'MyDevice Protocol',
  transport: 'tcp',
  encoding: 'ascii',
  terminator: '\r\n',
  commands: {
    power: { on: 'PWR ON', off: 'PWR OFF' }
  }
})

Emulation API

API for creating and managing virtual AV devices.

Virtual Device Factory

Create virtual instances of any supported AV device for testing.

Commissioning API

Automated testing and commissioning workflows.

Test Suites

Pre-built test suites for common AV system types.

Device Discovery Tool

Automatically discover AV devices on the network.

Discovery Methods

  • mDNS/Bonjour scanning
  • AMX Beacon detection
  • Q-SYS Core discovery
  • Crestron autodiscovery

Protocol Analyzer Tool

Capture and analyze AV control protocols in real-time.

Features

  • RS-232 monitoring
  • TCP/IP packet capture
  • Protocol identification
  • Timing analysis

Signal Tracer Tool

Trace audio and video signals through complex AV systems.

Signal Path Visualization

Visual representation of signal flow from source to destination.

System Designer Tool

AI-powered AV system design from natural language requirements.

Design Process

  1. Describe system requirements
  2. AI generates equipment list
  3. Review and modify design
  4. Generate documentation

Network Simulator

Simulate network conditions for testing AV over IP systems.

Simulation Parameters

  • Latency injection
  • Packet loss
  • Bandwidth limiting
  • Jitter simulation

Load Testing

Stress test AV systems under various load conditions.

Test Scenarios

  • Multiple simultaneous streams
  • Rapid switching sequences
  • Command flooding
  • Network saturation

Timing Analysis

Analyze and optimize system timing for AV applications.

Timing Metrics

  • Command response times
  • Video switching latency
  • Audio lip-sync measurement
  • Control system lag

Custom Protocols

Implement support for proprietary or custom AV protocols.

Protocol Builder

Visual tool for defining custom protocol structures.

Device Emulation

Create virtual AV devices for testing and development.

Emulation Accuracy

Bit-accurate protocol emulation with realistic timing.

Performance Tuning

Optimize AV system performance for maximum reliability.

Optimization Areas

  • Network configuration
  • Command queuing
  • Connection pooling
  • Cache strategies

Deployment

Deploy AV control systems to production environments.

Deployment Options

  • On-premise servers
  • Cloud deployment
  • Edge computing
  • Embedded systems

Security

Security best practices for AV control systems.

Security Measures

  • Encrypted communications
  • Access control
  • Audit logging
  • Network isolation

Device Library

Browse our extensive library of pre-built device drivers.

Featured Manufacturers

Displays

Samsung, LG, Sony, NEC, Panasonic

Audio DSPs

QSC, Biamp, Symetrix, BSS

Video

Crestron, Extron, Kramer, Atlona

Control

Crestron, AMX, Control4, RTI

Changelog

Version 1.0.0 - AV Industry Launch

  • Hardware Abstraction Layer - Universal device control interface
  • 10,000+ Device Library - Pre-built drivers for major manufacturers
  • Protocol Engine - AI-powered protocol generation and analysis
  • Virtual AV Lab - Complete hardware emulation environment
  • Platform Integrations - Q-SYS, Crestron, Biamp, Extron support
  • Specialized AV Agents - Protocol, Hardware, Commissioning, Signal Flow
  • Signal Flow Visualization - Real-time routing diagrams
  • Automated Commissioning - AI-driven testing and optimization
  • Touch Panel Designer - AI-generated user interfaces
  • Multi-Protocol Support - RS-232, TCP/IP, UDP, WebSocket

Roadmap

  • Version 1.1 - AMX NetLinx support, Lutron integration
  • Version 1.2 - KNX building automation, BACnet support
  • Version 1.3 - Cloud-based device monitoring
  • Version 1.4 - AR/VR system visualization
  • Version 2.0 - Distributed system architecture