AIoT Healthcare
Non-contact Vital Sign Monitoring
- Develop vital sign monitoring systems using wireless sensing technologies such as mmWave radar and WiFi to monitor heart rate and respiration in real-time
- Develop state-of-the-art embedded AI models to enable automated health condition diagnosis
- Develop advanced user identification systems for personalized healthcare
Wearable Devices with Embedded AI
- Design IoT enabled wearable devices to monitor personal health such as sleeping, body fat percentage, blood pressure, heart rate, blood oxygen, and blood glucose
- Develop smart wearable health system for personalized health management and rehabilitation
- Develop AI based expert services to provide personal health advice
Barrier-free User Interface
- Design user-friendly interactive systems using wearable sensors such as EEG, PPG, and IMU
- Develop non-contact interactive systems using wireless sensing technologies such as mmWave radar, WiFi, and UWB to enable barrier-free user interaction for people with disabilities
- Develop state-of-the-art embedded AI models to enable personalized user interface for all ages
Smart City
People Counting and Tracking
- Design cost-effective people counting systems leveraging on public infrastructures such as WiFi, Bluetooth, and 4G/5G
- Track and position users in real-time based on advanced wireless sensing technologies such as WiFi, Bluetooth, and RFID
- Integrate cutting-edge mmWave radar and LiDAR techniques to enable millimeter-level indoor/outdoor positioning
Traffic and Parking Management
- Develop an urban parking monitoring system in real-time for available parking spots and illegal parking detection based on LPWANs and mmWave radar
- Develop citywide traffic monitoring systems to monitor traffic condition and detect road hazard in real-time, advising drivers with the best routes
- Monitor driver distraction and drunk driving using mmWave radar
Safety and Building Access
- Design an efficient edge computing system to process security data in real-time
- Develop a user identification system to achieve robust access authentication with high accuracy
- Develop a traceability system for epidemic prevention and control using thermal imaging and mmWave radar technologies
Critical Supply Chain
Digital Transformation Lifecycle Tracking
- Design digital IoT solutions leveraging on LPWANs techniques such as LoRa and NB-IoT
- Develop a traceability system for product lifecycle management based on advanced RFID techniques
- Integrate front-end and cloud services to enable end-to-end visualization of digital supply chain and logistics management
Risk Management and Analysis
- Build a data-driven demand analysis and prediction platform to achieve accurate market demand prediction and evaluation
- Develop a risk prediction and control system using AIoT technologies, improving the flexibility and response capacity of supply chain
- Design cost assessment and risk control solutions using AI-based blockchain technology
Smart Warehouse and Maintenance
- Develop an automated asset tracking system using LoRa, RFID, mmWave radar, and drone-based technologies
- Develop a smart item sorting system based on automated drone techniques
- Develop an AI-based item processing platform to optimize inventory management
Public Safety
Search and Rescue
- Design robust search and rescue solutions using advanced drone remote sensing technologies
- Develop a data-driven decision-making system for emergency response and operation safety
- The system enables robust and efficient onboard data processing with embedded AI techniques
Emergency Management
- Develop an automated inspection system using hybrid drone remote sensing technologies
- Provide reliable emergency response capability for bushfire, firefighting, earthquake, and floods
- Integrate LoRa-based sensors on drones for fast network reconstruction in danger
Law Enforcement Monitoring
- Develop an automated drone-based inspection system for public safety and urban management
- Remote tracking of illegal vehicles using advanced MIMO-based positioning technology
- Develop high-efficient machine learning algorithms to improve system efficiency with low risks
Smart Farming
Farming Monitoring
- Build cost-effective LoRaWANs to monitor soil moisture, rainfall, water use and inventory to improve water efficiency and yield
- Accurately monitor soil nutrients and fertility to enable smart fertilizer supply system
- Design data-driven machine learning technology based advanced AI models to offer automated plants growth tracking and simplify farm resource management
Greenhouse Management
- Remotely monitor the health, behaviour and location of livestock to efficient manage pasture utilization
- Develop an automated greenhouse management system to enable plant monitoring and temperature control without human intervention
- Design cutting-edge deep learning models to monitor atmospheric conditions in real-time for pests and diseases prevention
Product Safety and Tracking
- Develop a product traceability system from plant to table using RFID technology
- Develop a product test and verification system based on smart sensing techniques, enabling accurate yield estimation and conformity assessment
- Provide the functionality for smart planting system, quality supervision and inspection for food safety