AI and Blockchain Convergence for Smart Toys
Platform integrating Artificial Intelligence services (image recognition, chatbots, sentiment analysis, voice recognition) with DLT (Distributed Ledger Technologies) to manage the complete lifecycle of smart toys.
The Challenge
Smart toys incorporate complex technological components that need traceability throughout their entire lifecycle. Additionally, the industry requires accessible AI services (visual recognition, chatbots, emotional analysis) integrated into a unified platform, along with a distributed ledger system that simplifies blockchain interaction for non-technical users.
My Role
As AI services and DLT developer, I participated in:
- Integrated image recognition and computer vision services into the platform
- Developed conversational chatbot and sentiment analysis interfaces
- Implemented DLT innovations to simplify blockchain network interaction
- Collaborated on the digital passport design for toy component registration
Technical Approach
Multisectorial AI platform:
- Image recognition for visual product analysis
- Conversational chatbots for user interaction
- Sentiment and emotion analysis through natural language processing
- Voice recognition for smart toy interfaces
DLT technology:
- Distributed ledger for component and manufacturing stage traceability
- Simplified mechanisms with semantics similar to traditional databases
- Decentralized self-sovereign identity management
- Intuitive interaction with DLT networks for unfamiliar users
Digital passport:
- Component control for elements within smart toys
- Manufacturing and distribution stage traceability
- Reverse logistics for circular economy and recycling
Differentiation
Unlike AIPASSPORTGUARDNET (which focuses on regulatory compliance and safety verification), DLT4AITOYS focuses on integrated AI services and DLT accessibility innovation, making complex technologies usable for the toy industry.
Collaboration
Project developed in collaboration between AIJU and ITI, combining expertise in AI and blockchain technologies.
Funding
Funded by IVACE (Valencian Institute of Business Competitiveness) with co-financing from the European Union through the European Regional Development Fund.
File number: IMDEEA/2022/80