Key Features

✅ Offline Voice Recognition – No cloud dependency, works without Wi-Fi or Bluetooth. ✅ High Recognition Accuracy – AI-based algorithm with >95% accuracy in quiet environments. ✅ Customizable Wake Word & Commands – Supports user-defined triggers and voice commands. ✅ Multi-Language Support – Recognizes Chinese, English, and other languages (depends on firmware). ✅ Noise Suppression & Echo Cancellation – Improved performance in real-world conditions. ✅ Built-in MCU & Multiple Interfaces – Integrates UART, I2C, GPIO, PWM, and ADC for easy control. ✅ Low Power Consumption – Suitable for battery-powered devices. ✅ Compact & Easy to Integrate – Ready for embedded applications.

Technical Specifications

• Processor: High-performance AI voice recognition chip

• Operating Voltage: 3.3V–5V (DC)

• Communication Interfaces: UART, I2C, GPIO, PWM, ADC

• Microphone Input: Supports electret & MEMS microphones (analog/digital)

• Recognition Distance: Up to 3–5 meters (depends on noise levels)

• Response Time: <200ms (fast local processing)

• Supported Languages: Chinese, English (expandable via firmware)

• Storage: Onboard flash for custom voice models & commands

• Dimensions: Compact PCB (varies by model)

Applications

🔹 Smart Home Devices (Voice-controlled lights, fans, appliances) 🔹 IoT & Automation (Voice-activated sensors, switches) 🔹 Toys & Education (Interactive robots, learning tools) 🔹 Industrial Control (Hands-free operation in factories) 🔹 Automotive Electronics (Voice commands for car systems) 🔹 DIY Electronics & Prototyping

Development Support

• Easy-to-Use SDK & Configuration Tool (PC software for command programming)

• Pre-trained Models for common use cases

• UART Communication for seamless MCU integration (Arduino, STM32, ESP32, etc.)

• Example Codes & Documentation for quick development