• ESP32 (with or without camera)
• 3" TFT display connection
• Speaker + amplifier
• MicroSD storage
• USB-C charging circuit
• Microphone for recording
• Control buttons (Play, Record, Language Select, etc.)
•  

Wi-Fi Connectivity

Seamless translation and internet connectivity.

USB Charging

Convenient power recharge.

Text Excerpt Capabilities

Extract and translate text from various sources.

Built-in Dictionary  Request for Quote and Gerber PCB File Prototypes

We're seeking a quote and Gerber PCB file prototypes for an innovative smart dining set with advanced features. The set includes:

Fork

A smart fork with integrated sensors and audio feedback.

Spoon

A talking spoon with 134 languages translation, food recognition, and audio feedback.

Plate

A smart plate with food detection and portion control features.

CP Cup

A smart cup with liquid level detection and audio feedback.

Bottle

A smart bottle with hydration tracking and reminders.

Device Features

134 Languages Translation

Supports instant speed recognition and voice translation with multinational accents.

3-inch Touchscreen

High-definition scree

Comprehensive dictionary for accurate translations.

Food Reader Feature

Utilizes machine learning models and computer vision libraries (e.g., TensorFlow, OpenCV) to recognize food items, including:

    Image recognition

   - Database integration (nutritional information, allergens, cooking suggestions)

   - Audio feedback (recognized food item, nutritional information, potential allergens)

Spelling Corrector Feature  Utilizes NLP techniques to analyze text input and identify spelling errors, with:

   - Dictionary integration

   - Audio feedback (corrected spelling)

Key Components

Microcontroller  Powerful microcontroller (e.g., ESP32) for processing image recognition, text analysis, and audio feedback.

Camera Module  High-quality camera module (e.g., Panasonic MN34120PA) for capturing images of food.

Memory   Sufficient memory to store food database, machine learning models, dictionary, and NLP models.

Design Considerations

Lighting Consider adding LED lighting to enhance image capture.

User Interface Design an intuitive user interface using voice commands or gestures.

Potential Resources

TensorFlow Open-source machine learning library.

OpenCV Computer vision library.

Food Database APIs  Explore APIs providing access to food databases (e.g., USDA database).

Language Tool  Open-source proofreading tool.

NLP Libraries  Utilize libraries like NLTK or spaCy.