Wireless sensor networks can be deployed in the monitoring of granary systems and greenhouses. In ensuring the efficiency and reliability of such systems, optimal trade-offs should be guaranteed between the various considered constraints. This work has the important aim of translating the monitoring of the environmental factors that may influence the quality of stored agricultural grains into a mathematical model, in which optimal trade-offs are achieved between coverage efficiency, reduced costs and real-time monitoring. The intention is to mathematically model and optimize a developed distributed wireless sensor network system for quality bulk grains storability. The proposed model shows promise, as it attained optimal levels, with a coverage efficiency of 89% with minimum number of nodes.

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In this digital age there is a growing interest in robotics by students in basically all age grades beginning from the toy robot cars used by preschoolers, to hi-tech robots used by teenagers and youths such as Sphero BOLT, Grillbot, and many others available in the market. In other to spark interest of youngsters in science, technology, engineering, and math (STEM) fields and also for robotics enthusiasts without making learning complex but simple and intuitive this cost-effective mobile robot called IKPEZE Robot was designed and developed. This can be used for education and research purposes in laboratories; knowledge gathered from this approach can also be applied to wider ranges of robotics. IKPEZE Robots has an added vision and audio capability, which provides surveillance of its immediate environment. Our main goal was to develop a low-cost mobile robot, which is cheaper than most commercial robots sold today and can find application not only in education and research, but also in other applications. This mobile robot was developed by designing and implementing a chassis having a Raspberry Pi controller programmed in C language in a Debian Linux-based OS that was used to control the chassis remotely via a Wi-Fi network. A mobile application was loaded into an Android smartphone with an easy-to-use graphical user Interface (GUI). Captured footages are sent wirelessly via Wi-Fi to the Android smartphone and it is stored in the local memory of the smartphone.

This study utilized a wireless transceiver module (NRF24L01) and ATmega328 to implement a cost-effective household door intercom. The intercom consist of two units; the outdoor and indoor. The outdoor unit was used by the guest to communicate with the household owner to notify them of their presence at the door while the indoor unit was used to respond to the call. The transceiver module transmits and receives audio signals between the two units, while ATmega328 handles the conversion of the signal from analog to digital during transmission and vice-versa at reception. The outcome of the test and analysis carried out on the developed prototype shows that it is user-friendly, consumes less power, and also proves that it is a cost-effective solution that can be affordable and made to be readily available to the consumer.

The development of technologies for detecting or preventing drowsiness at the wheel has been a major challenge in the area of accident avoidance systems. Due to the hazard that drowsiness presents on the road, methods need to be developed for its early detection. This study implements a Haar cascade technique on a Raspberry Pi module and evaluates the performance of the developed system. The results obtained from the evaluation of the standalone embedded system show that a precision of 80.11% and recall (sensitivity) of 99.81% were achieved. The results of the system usability test (based on an administered questionnaire) reveal that the mean System Usability Scale (SUS) score for the 20 participants is 77.38, with a standard deviation of 9.40. The minimum and maximum score are 57.50 and 92.50, respectively. The mean SUS score of 77.38 indicates that user satisfaction is adequate.