3. Software

Main Control Unit: Xiao ESP32-S3
Sensors/Devices:
- Microphone: Capture audio and recognize specific trigger phrases (e.g., "How many people are ahead?").
- Camera: Capture photos and send them to the main control unit for processing.
- Display: Show the results of recognition (e.g., text or images).
- Speaker (optional): Play audio feedback with recognition results.
- WiFi Module: Connect to the internet for processing and cloud interaction (e.g., uploading photos or remote recognition).

Voice Recognition Module:
- Capture audio using the microphone.
- Recognize trigger words or phrases (e.g., “How many people are ahead?”).
Image Processing Module:
- Capture a photo and send it to the processing unit.
- Use an image recognition model (e.g., TensorFlow Lite) to analyze the photo and recognize objects or scenes.
Display Module:
- Show the recognition results (e.g., text, image).
Voice Feedback Module (optional):
- Play audio feedback based on the recognition results.
Wi-Fi Module:
- Connect to the internet, possibly for remote control or uploading recognition results.
Power Management:
- Provide stable power to ensure continuous operation of the device.

Startup & Connection: The device should automatically connect to the Wi-Fi network upon startup and wait for microphone input.
Voice Trigger: Trigger photo capture and image recognition via specific voice commands.
Image Recognition: Recognize people, objects, or scenes in the captured photo and return results.
Voice Feedback (optional): Play feedback information via the speaker based on the recognition results.
Display Results: Display the recognition results on the screen.

Latency: The latency of voice recognition and image processing should be as low as possible for a smooth user experience.
Accuracy: The voice and image recognition accuracy must be high to ensure the device can recognize trigger words and objects accurately.

System Architecture