S.A. ALIU

This project presents the design and construction of a Gesture Control Smart Lighting System aimed at enhancing accessibility and improving energy efficiency in residential and commercial
environments. Traditional lighting systems rely on manual switches, which may present challenges for elderly individuals, persons with disabilities, or in situations where physical contact
is inconvenient. The proposed system utilizes gesture recognition technology to enable users to control lighting functions such as switching ON/OFF and adjusting brightness through simple
hand movements without physical contact. The system integrates a microcontroller-based platform with gesture sensors to detect and interpret predefined hand motions. These gestures are processed and translated into lighting control commands in real time. The design prioritizes low power consumption, reliability, affordability, and ease of installation. By eliminating unnecessary energy usage through automated control and user-friendly interaction, the system contributes to energy conservation and promotes sustainable living.
Experimental testing demonstrates that the system responds accurately to gesture inputs with minimal delay, ensuring efficient performance and improved user convenience. The developed
prototype highlights the potential of gesture-based smart systems in advancing modern home automation, particularly for enhanced accessibility and energy-efficient lighting solutions.

The transportation and logistics sector could become much safer and more efficient with the use of autonomous vehicle (AV) technology. This project presents the design, development, and evaluation of a mini autonomous vehicle aimed at demonstrating the feasibility of low-cost, compact automation for indoor and controlled outdoor environments. The vehicle uses an ultrasonic sensor for real-time obstacle detection, with a microcontroller(ESP32)-based control system to execute navigation and collision avoidance maneuvers. A modular architecture was implemented, incorporating sensor data processing, path planning, and control algorithms to ensure responsive and adaptive vehicle behaviour. Both simulation and field tests were conducted to validate system performance, with results indicating reliable obstacle detection, effective trajectory tracking, and robust control response under various operating conditions. The successful realization of this mini autonomous vehicle project not only underscores the potential of accessible, cost-effective autonomous systems but also provides a solid foundation for future enhancements and applications in small-scale robotics.

The demand for indoor cooling is on the increase especially in a tropical weather country like Nigeria. Air conditioning has been the most common cooling mechanism for providing indoor cooling for office buildings. However, the conventional air conditioners consume a lot of electricity and also make use of chlorofluorocarbon (CFC) and hydrofluorocarbon (HCFC) refrigerants which contribute to global warming. The solar absorption air conditioning system utilizes heat from solar radiation to drive an absorption system which produces the refrigerating effect. A lot of research work has been carried out to analyse and improve the system. The aim of this project work is to design a solar absorption air conditioner by determining the size and type of the required solar collector and the maximum coefficient of performance (COP) that can be achieved by varying the generator temperature. The solar collector area with an efficiency of 0.76 was calculated to be 2.375m2, for an optimum generator temperature of 950C. The COP at this generator temperature was calculated to be 0.736