AI Smart Glasses Translation System Using Cloud LLM
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Solution Overview
Problem
Existing smart glasses are expensive and have limited functionality, with low user stickiness due to their simplicity.
Innovation Solution
A translation system based on artificial intelligence (AI) integrated into smart glasses, which includes smart glasses, a smart mobile terminal, and a cloud server with a large language model (LLM), enabling high-precision translation by converting speech into text and vice versa.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing smart glasses are equipped with basic functions like music playback and calls, then the device complexity increases, but the functionality remains limited and user stickiness is low
Solution Approach 1:
The smart glasses are designed to perform multiple functions including speech pickup, translation, music playback, and calls. The translation function is integrated as a core capability that works alongside other basic functions, making the device versatile without requiring separate specialized equipment for each function.
Solution Approach 2:
A cloud server acts as an intermediary between the smart glasses and the translation processing. The glasses pickup speech and send it to the cloud server for translation, which then returns the translated speech. This intermediary approach allows complex translation functionality to be achieved without burdening the glasses device itself with excessive processing complexity.
2Adaptability or versatility
If translation function is added to smart glasses, then the intelligence and practicality improve, but the device complexity and cost increase
Solution Approach 1:
The cloud server serves as an intermediary that handles the complex translation processing. The smart glasses only need to perform speech pickup and playback, while the intelligence-intensive translation work is offloaded to the cloud, maintaining device simplicity while achieving high intelligence in the overall system.
Solution Approach 2:
The translation functionality is achieved by replacing complex local processing mechanisms with cloud-based AI processing. Instead of embedding sophisticated translation engines in the glasses, the system uses network communication to substitute mechanical processing with remote intelligent processing.
3Measurement precision
If cloud-based LLM translation is used, then translation accuracy improves, but the loss of time for speech conversion increases
Solution Approach 1:
The system maintains continuous speech flow by processing translation in real-time as speech is picked up. The cloud server continuously receives speech segments, translates them, and returns translated speech without significant interruptions, ensuring the translation process flows continuously rather than in batch operations.
Solution Approach 2:
The system processes speech translation in efficient segments, rushing through the conversion process by sending speech to the cloud server and quickly receiving the translated output. This segmented rapid processing minimizes the perceived time loss while maintaining high translation accuracy through the LLM.
Data Source
AI summary
A translation system, smart glasses for translation and a translation method based on artificial intelligence are provided. The translation system includes first smart glasses, a first smart mobile terminal and a cloud server configured with LLM(s). The smart glasses pick up a first speech in a first language from preset direction and send it to the first terminal. The first terminal converts the first speech into a first text and sends it to the cloud server. The cloud server translates, through the LLM(s), the first text to obtain a second text in a second language according to a translation prompt and sends it to the first terminal. The first terminal converts the second text into a second speech and sends it to the first smart glasses for playback. The present application realizes the high precision intelligent translation based on the smart glasses, and increases the user stickiness in the product.