AI Accessory Data Bridge for Multimodal Processing Without Built-In DSPs

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Solution Overview

Problem

Existing AI accessory devices face limitations due to expensive digital signal processors (DSPs), lack of flexibility in multi-modal data processing, and insufficient AI capabilities in native mobile device applications, making them costly and inconvenient to use.

Innovation Solution

An AI accessory device with vendor-defined and standard category circuits, coupled with an electronic device, processes multimodal data using a generative AI module, converting data between vendor-defined and standard formats for seamless integration with existing applications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If built-in digital signal processors (DSPs) are used for AI processing, then signal processing capabilities are improved, but device cost increases

Engineering Contradiction:

Improvesignal processing capabilityVSAvoiddevice cost

Core Design Contradiction:

ReliabilityVSEase of manufacture

Solution Approach 1:

The patent extracts the AI processing function from the accessory device itself and relocates it to the electronic device's existing AI module. The accessory device only retains data collection and transmission functions, while the processing is performed externally by the electronic device's AI module, eliminating the need for expensive built-in DSPs in the accessory.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces a standard category circuit as an intermediary that converts vendor-defined data formats into standard formats that can be processed by the electronic device's AI module. This intermediary enables the accessory device to leverage the electronic device's existing AI capabilities without requiring expensive proprietary processing hardware.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Device complexity

If conventional single-modality conversion methods are used, then processing simplicity is maintained, but multi-modal integration capability is limited

Engineering Contradiction:

Improveprocessing method simplicityVSAvoidmulti-modal data processing capability

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The patent creates a universal data processing architecture where the standard category circuit can handle multiple types of data (voice, image, text, etc.) through a unified interface. The AI module in the electronic device performs multi-modal conversion between different data types, enabling a single accessory device to support diverse application scenarios without requiring separate processing circuits for each data type.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250305837A1Ai accessory device, operating system and control method thereof

Publication Date: 2025.10.02 VIA LABS INC

AI summary

An artificial intelligence (AI) accessory device coupled to an electronic device is provided. The AI accessory device includes an input interface, a vendor-defined category circuit, a standard category circuit, and a transmission interface. The input interface receives multimodal input. The vendor-defined category circuit provides a first multimodal data signal to the electronic device for processing by an AI module. The standard category circuit receives processed multimodal data from the vendor-defined category circuit and provides a second multimodal data signal to an application on the electronic device. The transmission interface facilitates communication between the AI accessory device and the electronic device.