AV Platform SDK Documentation
The industry's first AI-powered platform specifically designed for Commercial Audio Video system programming, integration, and deployment.
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
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β User Interface β
β βββββββββββββββ ββββββββββββββββ ββββββββββββββββ β
β βSystem Designβ βDevice Controlβ βSignal Flow β β
β βββββββββββββββ ββββββββββββββββ ββββββββββββββββ β
βββββββββββββββββββββββββββ¬ββββββββββββββββββββββββββββ
β
βββββββββββββββββββββββββββ΄ββββββββββββββββββββββββββββ
β AV Control Core β
β βββββββββββββββ ββββββββββββββββ ββββββββββββββββ β
β β HAL β βProtocol Engineβ βSignal Router β β
β βββββββββββββββ ββββββββββββββββ ββββββββββββββββ β
βββββββββββββββββββββββββββ¬ββββββββββββββββββββββββββββ
β
βββββββββββββββββββββββββββ΄ββββββββββββββββββββββββββββ
β Specialized AV Agents β
β βββββββββββββββ ββββββββββββββββ ββββββββββββββββ β
β βProtocol Agentβ βHardware Agentβ βCommissioning β β
β βββββββββββββββ ββββββββββββββββ ββββββββββββββββ β
βββββββββββββββββββββββββββ¬ββββββββββββββββββββββββββββ
β
βββββββββββββββββββββββββββ΄ββββββββββββββββββββββββββββ
β Virtual AV Laboratory β
β βββββββββββββββ ββββββββββββββββ ββββββββββββββββ β
β βVirtual Devicesβ βNetwork Sim β βSignal Gen β β
β βββββββββββββββ ββββββββββββββββ ββββββββββββββββ β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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
POSTSend control commands to a device.
Request Body
{
"command": "setPower",
"parameters": {
"state": "on"
},
"verify": true
}
GET /api/devices/{deviceId}/status
GETGet 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:
- Check physical connections (RS-232 pins, Ethernet link)
- Verify communication parameters (baud rate, IP address)
- Use Protocol Analyzer to monitor traffic
- 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:
- Task Analysis - Understands project requirements
- Agent Selection - Chooses the right agents for each task
- Coordination - Manages inter-agent communication
- 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
- Describe system requirements
- AI generates equipment list
- Review and modify design
- 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