In Nigeria, power is one of the major problems and this deters the reliability and effectiveness of a video surveillance system as the case may be. Also, as criminal organizations tend to destroy every physical storage after an operation, providing a suitable backup to the cloud is a viable solution to serve as a failsafe plan in case of hardware eventualities. This work focuses on the design and construction of a real-time power and data backup surveillance system for security of lives and properties. Construction of a sufficient power bank backup system was developed in real time with average power outage duration in Nigeria considered. Lithium ion batteries with a cascade connection was used to provide alternate power to the system in a situation of power outage. An Arduino microcontroller controlling relay modules was used to ensure optimum battery life and efficiency and an IP camera was used for surveillance as well as cloud storage. This research was implemented and evaluated to measure the efficiency of the system. The results show that the entire system has the capacity to switch between the direct power source and the alternative power source, it could last for 100- 156hours after full charge in absence of power supply. The data backup was stored to a secured cloud and could only be accessed by authorized users when such is required.

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It has been recognized that green Information Communication Technology (ICT) is fast becoming popular in every sector. It’s fundamental relevance to textile industry requires urgent attention than ever. Over the years selections of technologies to drive the textile industry has been a debate. There is a need for an efficient technology selection method to realize this goal. Selection of green ICT alternatives is a multicriteria decision making problem which has been sparsely explored in open literature. This study presents green ICT adoption in the textile industry using a fuzzy-TOPSIS multi-criteria approach for the most preferred ICT alternative in a textile industry. Criteria for Green ICT selection were identified by administering interview with selected textile and ICT industry experts at the managerial cadre of organizations and academics. Criteria considered were Implementation Cost (IC), Operating and Maintenance Cost (OMC), Environmental Impact (EI), Improved System Performance and Use (ISPU), Supply Chain Management (SCM) and Employment Opportunities (EO). Results shows that the most preferred ICT alternative is power management with overall coefficient of 0.60 while the least preferred is software optimization with coefficient of 0.23. This work will allow clean industrial process in the textile industry and also promote sustainable cities and communities through responsible consumption and production as highlighted by sustainable development goals (SDG) 11 and 12.

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