| Year 1 |
AI Marine & Port Logistics, Smart City, Manufacturing & Robotics, Medical & Healthcare
Technology Demand Survey and Technology Development |
- AI-based core technologies for cargo ship loading plans
- Port logistics data for loading/unloading plans
- Autonomous driving data platform for collection, storage, analysis, and sharing
- Research on AI components for HVAC systems
- Object recognition-based navigation for basic robotic tasks
- ISO 23247-based digital twin standards and platform design
- Edge AI platform for smart factories and intelligent robots
- Dedicated mobile app for collecting and managing personal temperature
- Image processing techniques for bowel obstruction detection
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| Year 2 |
AI Marine & Port Logistics, Smart City, Manufacturing & Robotics, Medical & Healthcare
Technology Implementation, Unit Testing, and Business Model Development |
- AI automation technology for cargo ships
- Optimal yard location prediction algorithms
- Smart autonomous driving based on driver behavior
- Intelligent data collection and multimodal analysis
- Predictive maintenance and fault detection for HVAC systems
- Object recognition–based robot control
- OMSE for ISO 23247 digital twin platforms
- High-speed object tracking and recognition based on lightweight deep neural networks
- Machine learning-ready servers for managing personal temperature data
- ICT-based mobile app for mind-body therapy content
- AI-based text recognition technologies for import/export shipping documents
- Bioinspired surface control technologies
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| Year 3 |
AI Marine & Port Logistics, Smart City, Manufacturing & Robotics, Medical & Healthcare
Integrated Technology Development and Prototype Production |
- 3D spatial processing and modeling technology for polyhedral cargo
- Integration framework with existing port systems
- Optimal fuel-efficient driving modes using high-precision ADAS maps
- Research on AI-based HVAC system monitoring technology for enhanced energy efficiency
- Predictive maintenance and fault detection technologies for HVAC systems based on operational data
- R&D on task-performing robot control technology
- Process optimization (ASSE) and resource management (RAISE) on ISO 23247 digital twin platforms
- Software framework for integrating AI engines with deep neural network accelerators
- Machine learning algorithms for individualized heat-detection temperature data
- Mental health assessment and mind-body therapy content for hospital staff
- AI-powered content recognition and classification for import/export shipping documents
- AI control experiment design and dataset construction
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| Year 4 |
AI Marine & Port Logistics, Smart City, Manufacturing & Robotics, Medical & Healthcare
Technology Integration Testing and Commercialization/Advancement |
- Reinforcement learning for contour and volume estimation of cargo and transport vehicles
- Integration with autonomous freight transport systems for full automation
- Chatbot-based fault response manuals using smart glasses
- Predictive maintenance and fault detection technologies for HVAC systems based on operational data
- Object recognition–based robotic platforms for smart farming
- Field deployment and VR implementation of ISO 23247-based digital twin platforms
- Pilot operation of intelligent solutions for bin-picking robots
- Assessment of developed technologies' impact on healthcare workers’ mental health, quality of life, and job satisfaction
- AI-based automation for import/export document processing
- Optimization of experimental conditions and product application using AI algorithms
|
| Year 5 |
Implementation and Prototyping of Technologies in Three AI+X Industrial Sectors (Phase 2, Following Year) |
- AI-powered cargo volume estimation and automated layout
- Object recognition and action analysis using AI
- Shipbuilding and marine ICT technologies for smart shipbuilding
- AI optimization algorithms for logistics
- Fault diagnosis and predictive maintenance systems for AMMRs (autonomous mobile manipulator robots)
- AI-powered matching technologies for footwear design and manufacturing
- Noise and vibration reduction technologies for eco-friendly vehicles
- Customized bicycle frames using AI
- Machine learning–based quality prediction and control systems for EV welding and fastening
- Deep learning–based object recognition systems optimized for environmental conditions
- XAI-based smart safety detection systems for child protection
- LLM-powered Q&A systems tailored to government and public service inquiries
- Mental health enhancement technologies for medical professionals using self-care methods
- Study on the societal and business impact of service robots
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