At TETFUND NATIONAL RESEARCH FAIR AND EXHIBITION (Nov. 17-21, 2024). Two products from Uph (CITE) were selected from over 3000 submissions made after a serious screening exercise by TETFUND. The two products are:
- AI-Enhanced Smart Green House for Agriculture
- AI Adaptive Home Automation System for Maximum Management of Energy Usage.
Prof. Bourdillon Omijeh and his team members were at the UNIPORT STAND to exhibit innovative products and demonstrate emerging technologies.
The Vice-Chancellor was ably represented by Prof. Iyeopu Siminialayi, DVC R&D, at the opening ceremony on November 18th.
Description
The Adaptive AI-Powered Full Home Automation System is a revolutionary project that combines AI and home automation. The system combines advanced technologies, carefully selected materials, and a meticulously designed research methodology. Each element, from Arduino boards to environmental sensors, serves a distinct purpose in creating a home automation environment that learns, adapts, and anticipates user preferences.
The fusion of AI and home automation promises an intelligent, adaptive, and user-centric living environment, paving the way for a more intelligent and efficient home. The methodology for the development of an adaptive AI-powered system for intelligent living involves a systematic and iterative process. The design phase involves thorough requirement analysis to understand user needs and preferences. The system architecture includes adaptive learning algorithms, device integration protocols, environmental sensors, security features, and energy optimization algorithms. The implementation phase involves the development of software algorithms, hardware components, and user interfaces.
Machine learning algorithms are trained using historical data and user interactions to enable adaptive learning and personalized experiences. The training process involves data collection, preprocessing, model selection, model development, and evaluation. The trained AI models are integrated into the broader home automation system, playing a central role in decision-making and system adaptation. The integration process involves connecting sensors, actuators, microcontrollers, and communication modules to enable data exchange and control functionality.
Project Functions and Features
The Adaptive AI-Powered Full Home Automation System is designed to create a smart living environment by combining Artificial Intelligence (AI) and Internet of Things (IoT) technologies. This system leverages an Artificial Intelligence Distribution Board Neural Network (AIDBNN) to monitor, learn from, and adapt to environmental changes and user behaviors. Key features include:
- Adaptive Intelligence: Using AI-driven models like Convolutional Neural Networks (CNN) for facial recognition and security and Decision Tree algorithms for decision-making, the system learns and anticipates user needs, enabling real-time adjustments.
- Environmental Monitoring: Integrated sensors allow for real-time data collection to optimize conditions like lighting, temperature, and energy use, enhancing energy efficiency and comfort.
- User-Centric Control: The system offers multiple control options, including voice, gesture, and mobile app interfaces, providing users with seamless, hands-free interaction.
- Security and Safety: Advanced security features like facial recognition and intrusion detection bolster home safety, while anomaly detection enhances the system’s reliability
Advantages
- Energy Efficiency: The system’s adaptive learning algorithms and environmental monitoring features optimize energy use by adjusting lighting, heating, and cooling based on real-time data and learned user habits, reducing utility costs, and environmental impact.
- Enhanced Security: AI-driven security features, including facial recognition and intrusion detection, provide proactive home protection. Anomaly detection further strengthens safety by identifying irregularities and alerting users to potential threats.
- Personalized User Experience: By learning from user interactions and preferences, the system delivers a tailored home environment that aligns with individual habits, providing a comfortable and user-centric experience.
- Convenience and Accessibility: Multiple control options—including voice commands, gestures, and mobile app functionality—make system management intuitive and accessible for all users, enabling remote adjustments and monitoring.
- Scalability and Future-Proofing: The modular design allows for easy integration with additional smart devices and compatibility with emerging technologies, making the system adaptable to future advancements in home automation.
Applications
- Residential Homes: Ideal for homeowners seeking an efficient, secure, and intelligent home environment that adapts to their preferences and lifestyle.
- Assisted Living Facilities: The personalized control features and security protocols make this system suitable for assisted living spaces, where it can enhance safety and ease of use for residents with special needs.
- Energy-Conscious Smart Buildings: In commercial or residential smart buildings, the system’s energy management capabilities can significantly reduce operational costs and promote sustainability.
- Luxury and High-End Real Estate: This system appeals to high-value properties where customization, security, and advanced technology are prioritized to offer premium living experiences.
- IoT-Enabled Smart Communities: This solution can be scaled to integrate into smart community projects, where homes within a networked community benefit from shared insights on energy use and safety protocols.
The Adaptive AI-Powered Full Home Automation System sets a new standard for modern living by combining convenience, efficiency, and security, creating an adaptable and user-focused smart home experience.
PROJECT TEAM MEMBERS:
IV. Professor Bourdillon O. Omijeh (Principal Investigator)
V. Oluwasegun D Onasanya (Communication Engineer)
VI. Omodibo Gamaliel Erhire – Embedded Systems Design and Automation
I. Jude Okon Nkereuwem – Robotics and Automation
VII. David O Omijeh – AI and Robotics
