• RealtimeSTT: This project is built on top of the excellent RealtimeSTT open-source speech-to-text system by Abhishek Gupta. All core speech recognition, audio handling, and much of the UI logic are based on the original RealtimeSTT repository.
• Original Author: Abhishek Gupta (https://github.com/Abhishek-Gupta-Dev)
• License: Please refer to the original RealtimeSTT repository for license and usage terms.

The following enhancements and integrations were carried out on top of the original RealtimeSTT project:

• Interactive Voice UI: The Netflix-style subtitle UI was renamed and enhanced as interactive_voice_ui.py (desktop) and interactive_voice_web.py (web-based) for more intuitive, real-time voice command interaction.
• OPC-UA Integration: A new OPC_UA_Agent module was added, enabling direct, offline, voice-driven interaction with industrial PLCs and SCADA systems using the OPC-UA protocol.
• Offline Audio Feedback: Added a robust, threaded text-to-speech system for real-time spoken feedback of all OPC-UA operations and results.
• Industrial Use Case Documentation: Comprehensive documentation and workflow examples for manufacturing, process, and automation industries.
• Completely Offline Workflow: All enhancements ensure the system works 100% offline, suitable for air-gapped and secure industrial environments.

A complete offline voice-controlled OPC-UA client system that enables hands-free industrial automation monitoring and control through natural speech commands.

• Chemical Plants: Voice commands to check pressure (PT), temperature (VP), and valve positions
• Pharmaceutical: Monitor critical parameters without touching contaminated surfaces
• Food & Beverage: Check tank levels, flow rates, and process temperatures
• Oil & Gas: Monitor pipeline pressures, flow rates, and safety systems
• Power Plants: Check turbine speeds, generator outputs, and grid parameters

• Production Lines: Voice-activated quality control checks and parameter monitoring
• Robotics: Check robot status, position feedback, and safety systems
• Welding Operations: Monitor current, voltage, and gas flow rates
• Paint Shops: Check temperature, humidity, and air flow parameters

• Pump Stations: Monitor pump status, flow rates, and tank levels
• Treatment Plants: Check chemical dosing, pH levels, and turbidity
• Distribution Networks: Monitor pressure zones and valve positions

• HVAC Systems: Check temperature, humidity, and air flow parameters
• Energy Management: Monitor power consumption and efficiency metrics
• Security Systems: Check access control and surveillance status

• Conveyor Systems: Monitor speed, load, and safety interlocks
• Crushers & Mills: Check motor currents, temperatures, and vibration
• Material Handling: Monitor hopper levels and transfer rates

The desktop interactive voice interface showing real-time transcription and voice command controls

The web-based interactive voice interface with modern design and real-time updates

┌─────────────────────────────────────────────────────────────────┐
│                    COMPLETE SYSTEM OVERVIEW                     │
├─────────────────────────────────────────────────────────────────┤
│                                                                 │
│  🎤 Voice Input → 📝 Transcription → 🔍 Pattern Recognition    │
│         ↓              ↓                    ↓                   │
│  Interactive UI      Trigger File        OPC-UA Client             │
│         ↓              ↓                    ↓                   │
│  Real-time STT   Text Processing     Tag Extraction            │
│         ↓              ↓                    ↓                   │
│  "roger" Detect   Full Text Save     VP/PT/Tag Search          │
│         ↓              ↓                    ↓                   │
│  File Creation    UTF-8 Encoding     Node Discovery            │
│         ↓              ↓                    ↓                   │
│  Trigger Signal   Complete History   Value Reading             │
│         ↓              ↓                    ↓                   │
│  Audio Feedback   Offline Storage    🔊 Voice Output           │
│                                                                 │
└─────────────────────────────────────────────────────────────────┘

• ✅ No Internet Required: All components work offline
• ✅ Local Speech Recognition: Uses Faster Whisper for real-time transcription
• ✅ Local Text-to-Speech: Uses pyttsx3 for voice feedback
• ✅ Local OPC-UA Client: Direct connection to industrial servers
• ✅ No Cloud Dependencies: Zero external service requirements

• ✅ Natural Language: "Check VP 123 roger" or "Read PT 456 roger"
• ✅ Pattern Recognition: Automatically detects VP, PT, and Tag patterns
• ✅ Number Extraction: Extracts tag numbers from speech
• ✅ Multi-tag Support: Process multiple tags in one command

• ✅ OPC-UA Protocol: Industry-standard communication
• ✅ Node Discovery: Automatic search through server nodes
• ✅ Value Reading: Real-time parameter monitoring
• ✅ Error Handling: Robust connection and operation management

• ✅ Real-time Announcements: Speaks all operations and results
• ✅ Value Announcements: Clearly states found values
• ✅ Status Updates: Connection and search status
• ✅ Error Reporting: Voice error messages
• ✅ Configurable Speech: Adjustable rate and volume

RealtimeSTT-master/
├── README.md                           # This comprehensive guide
├── OPC_UA_Agent/                       # OPC-UA voice control system
│   ├── __init__.py                     # Python package
│   ├── opcua_client.py                 # Main OPC-UA client with voice
│   ├── audio_generator.py              # Text-to-speech engine
│   ├── test_audio.py                   # Audio system test
│   └── README.md                       # OPC-UA specific documentation
└── RealtimeSTT/
    ├── tests/
    │   ├── Interactive_subtitles_ui.py     # Desktop voice UI (modified)
    │   ├── Interactive_subtitles_web.py    # Web-based voice UI
    │   └── realtimestt_test.py         # Basic STT test
    └── [other RealtimeSTT files]

• Python 3.10 or 3.11 (TensorFlow compatibility)
• Windows 10/11 with audio system
• Access to OPC-UA server (industrial equipment)

# Core dependencies (already installed)
pip install opcua pyttsx3 flask flask-socketio

# RealtimeSTT dependencies
pip install -e RealtimeSTT-master/RealtimeSTT

1. OPC-UA Server URL: Edit OPC_UA_Agent/opcua_client.py

   url = "opc.tcp://your-server-ip:4840/your-server-path/"

2. Audio Settings: Edit OPC_UA_Agent/audio_generator.py

   voice_rate=150    # Words per minute
   voice_volume=0.9  # Volume level (0.0 to 1.0)

# Check a single tag
"Check VP 123 roger"

# Read multiple tags
"Read PT 456 and Tag 789 roger"

# Monitor process parameters
"Check temperature VP 101 and pressure PT 202 roger"

# Monitor reactor conditions
"Check reactor temperature VP 101 and pressure PT 202 roger"
# System responds: "VP 101 value is 185.5 degrees Celsius, PT 202 value is 2.3 bar"

# Check safety systems
"Verify safety valve Tag 301 status roger"
# System responds: "Tag 301 value is Open"

# Monitor turbine parameters
"Check turbine speed VP 501 and generator output PT 502 roger"
# System responds: "VP 501 value is 3000 RPM, PT 502 value is 500 MW"

# Check cooling systems
"Monitor cooling water temperature VP 601 roger"
# System responds: "VP 601 value is 45.2 degrees Celsius"

# Check treatment parameters
"Monitor pH level VP 701 and chlorine PT 702 roger"
# System responds: "VP 701 value is 7.2, PT 702 value is 2.1 mg/L"

# Check pump status
"Verify pump Tag 801 status roger"
# System responds: "Tag 801 value is Running"

# Terminal 1: Start OPC-UA client
cd RealtimeSTT-master/OPC_UA_Agent
python opcua_client.py
# Audio: "OPC-UA client started. Monitoring for voice commands."

# Terminal 2: Start voice UI
cd RealtimeSTT-master/RealtimeSTT
python tests/Interactive_subtitles_ui.py

1. Speech Input: Operator speaks "Check VP 123 roger"
2. Real-time Transcription: Interactive UI captures and displays text
3. Pattern Detection: "roger" triggers file creation
4. Text Processing: OPC-UA client reads full transcription
5. Tag Extraction: Identifies "VP 123" pattern
6. Server Connection: Connects to OPC-UA server
7. Node Search: Searches for "VP123" in server nodes
8. Value Reading: Reads found node values
9. Audio Feedback: Speaks results to operator

🔊 "Voice command detected. Processing transcription."
🔊 "Analyzing transcription for VP, PT, or Tag patterns"
🔊 "Found VP 123"
🔊 "Searching for nodes containing VP123"
🔊 "Found matching node VP123_Temperature"
🔊 "Node VP123_Temperature value is 185.5"
🔊 "Found 1 matching node(s) for 1 tag(s)"
🔊 "OPC-UA operations completed"

• Model: Faster Whisper (tiny model for speed)
• Language: Auto-detection (supports multiple languages)
• Latency: Real-time with minimal delay
• Accuracy: High accuracy for industrial terminology

• Protocol: OPC-UA (OPC Unified Architecture)
• Connection: TCP/IP to industrial servers
• Security: Supports various security modes
• Discovery: Automatic node browsing and search
• Data Types: Handles all OPC-UA data types

• Engine: pyttsx3 (cross-platform TTS)
• Threading: Non-blocking speech queue
• Customization: Adjustable rate, volume, and voice
• Error Handling: Graceful failure management

• Hands-free Operation: No need to touch contaminated surfaces
• Reduced Errors: Voice confirmation prevents misreading
• Faster Response: Immediate parameter checking
• 24/7 Availability: Works in all lighting conditions

• Reduced Training: Natural language commands
• Faster Operations: Quick parameter access
• Error Prevention: Audio confirmation reduces mistakes
• Offline Operation: No cloud service costs

• Audit Trail: All commands and responses logged
• Standard Protocols: Uses industry-standard OPC-UA
• Secure Communication: Direct server connections
• Data Integrity: Real-time value verification

• No Internet Exposure: Complete air-gap capability
• Direct Connections: No intermediate servers
• Local Processing: All data stays on-premises
• Industrial Standards: Uses proven OPC-UA protocol

• Error Recovery: Automatic reconnection attempts
• Graceful Degradation: Continues operation with partial failures
• Logging: Comprehensive operation logging
• Backup Systems: Can work with multiple OPC-UA servers

• Multi-language Support: International industrial deployments
• Advanced Commands: Complex parameter calculations
• Trend Analysis: Historical data voice queries
• Alarm Integration: Voice alarm announcements
• Mobile Support: Tablet/phone voice interfaces

• SCADA Systems: Direct SCADA integration
• MES Systems: Manufacturing execution system links
• ERP Systems: Enterprise resource planning integration
• IoT Platforms: Internet of Things connectivity
• AI/ML: Predictive maintenance integration

# Test audio system
cd RealtimeSTT-master/OPC_UA_Agent
python test_audio.py

# Test basic STT
cd RealtimeSTT-master/RealtimeSTT
python tests/realtimestt_test.py

# Test complete system
# Follow the usage examples above

• Audio Issues: Check Windows audio settings and pyttsx3 installation
• OPC-UA Connection: Verify server URL and network connectivity
• Speech Recognition: Ensure clear microphone and quiet environment
• Performance: Adjust speech rate and audio settings as needed

• RealtimeSTT: Original speech recognition system
• OPC-UA: Industry standard protocol
• pyttsx3: Text-to-speech engine
• Faster Whisper: Speech recognition model

This system represents a complete offline voice control solution for industrial automation, providing hands-free operation with full audio feedback while maintaining the highest standards of security and reliability for industrial environments.