Mobile Internet Device Unified Social Commerce Platform

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Solution Overview

Problem

Current systems fail to seamlessly integrate social networking, electronic commerce, and mobile internet devices to provide a consistent user experience across touch-points, lacking real-time information integration and intelligent algorithms for enhanced user interaction.

Innovation Solution

The integration of advanced algorithms, including software agents, fuzzy logic, predictive algorithms, and self-learning algorithms, within a mobile internet device, coupled with a system-on-chip design and blockchain technology, to create a unified platform for social electronic commerce that connects users with objects and merchants, enabling real-time information exchange and intelligent transaction processes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If social networking, electronic commerce, and mobile internet devices are integrated, then user experience consistency across touch-points is improved, but system complexity increases

Engineering Contradiction:

Improveuser experience consistencyVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent merges social networking, electronic commerce, and mobile internet device functionalities into a unified system. The mobile internet device integrates multiple communication modules (wireless transceiver, sensors, camera) and software components (machine learning algorithms, augmented reality engine) to provide seamless cross-touchpoint user experience while managing system complexity through integrated architecture.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The mobile internet device is designed as a universal platform that performs multiple functions: social networking communication, electronic commerce transactions, augmented reality processing, and machine learning operations. This multi-functionality approach allows a single device to replace multiple specialized devices, improving user experience consistency across different applications.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Extent of automation

If real-time information integration is implemented, then user interaction intelligence is improved, but data processing requirements increase

Engineering Contradiction:

Improveuser interaction intelligenceVSAvoiddata processing requirements

Core Design Contradiction:

Extent of automationVSPower

Solution Approach 1:

The system performs preliminary actions by pre-processing data locally using machine learning algorithms before transmission. The mobile internet device captures images, processes them through augmented reality filters, and analyzes user behavior patterns in real-time using embedded machine learning models, reducing the need for extensive cloud-based data processing and lowering overall power requirements.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary layer of edge computing capabilities within the mobile internet device. The device acts as an intermediary between data capture (sensors, camera) and data processing (cloud servers), performing initial data filtering, augmentation, and analysis locally. This intermediary processing reduces data transmission requirements and lowers the computational burden on centralized servers.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Reliability

If advanced algorithms and blockchain technology are integrated, then transaction security is improved, but computational overhead increases

Engineering Contradiction:

Improvetransaction securityVSAvoidcomputational overhead

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the computational workload between the mobile internet device and blockchain network nodes. The device performs local data processing, authentication, and transaction initiation using machine learning algorithms, while blockchain consensus mechanisms handle secure transaction validation and storage. This segmentation reduces the computational overhead on individual devices while maintaining high transaction security through distributed verification.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS11625761B2System and method for machine learning and augmented reality based user application

Publication Date: 2023.04.11 MAZED MOHAMMAD A

AI summary

The invention synthesizes a social network, electronic commerce (including performance based advertisement and electronic payment), a mobile internet device (MID)/mobile wearable internet device, a topological data analysis (TDA) algorithm(s), an algorithm(s) based on game theory and a machine learning algorithm(s), utilizing a classical computer or an optical computer enhanced machine learning algorithm(s), utilizing an optical computer or a quantum computer enhanced machine learning algorithm(s), utilizing a quantum computer. The synthesized social commerce further dynamically integrates stored information, real time information and real time information/data/image(s) from an object/array of objects (Internet of Things (IoT)) and automated agents (bots). The machine learning algorithm(s), utilizing a classical computer can include a software agent, a fuzzy logic algorithm, a predictive algorithm, an intelligence rendering algorithm, a self-learning (including relearning) algorithm and an evolutionary algorithm.