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One of the most neglected sources of energy loss is streetlights that generate too much light in areas where it is not required. Energy waste has enormous economic and environmental effects. In addition, due to the conventional manual nature of operation, streetlights are frequently seen being turned ‘ON’ during the day and ‘OFF’ in the evening, which is regrettable even in the twenty-first century. These issues require automated streetlight control in order to be resolved. This study aims to develop a novel streetlight controlling method by combining a smart transport monitoring system powered by computer vision technology with a closed circuit television (CCTV) camera that allows the light-emitting diode (LED) streetlight to automatically light up with the appropriate brightness by detecting the presence of pedestrians or vehicles and dimming the streetlight in their absence using semantic image segmentation from the CCTV video streaming. Consequently, our model distinguishes daylight and nighttime, which made it feasible to automate the process of turning the streetlight ‘ON’ and ‘OFF’ to save energy consumption costs. According to the aforementioned approach, geo-location sensor data could be utilised to make more informed streetlight management decisions. To complete the tasks, we consider training the U-net model with ResNet-34 as its backbone. Validity of the models is guaranteed with the use of assessment matrices. The suggested concept is straightforward, economical, energy-efficient, long-lasting and more resilient than conventional alternatives.

This chapter examines what the hospitality sector can do to reduce its own carbon footprint as well as that of its guests. In particular, it addresses the issue of lighting and certain consumer-oriented products used in hotels and other public places by examining solutions designed to reduce carbon emissions, cut operating costs, and create a pleasant ambience. These moves toward a low carbon experience for both business and leisure tourists are set against the stipulations of current legislation, barriers to change, as well as international initiatives to make travel greener.

Hospitality, constituting an essential component of the tourism industry, is a sector characterized by many feasible opportunities to cut carbon dioxide emissions and to reduce the use of resources. Hence this chapter, drawing on the concept of corporate social responsibility (CSR), focuses on the way the hospitality sector copes with climate change. Its principal aim is to show what international hospitality companies, which are regarded as pioneers of CSR-inspired environmentalism, have done to mitigate the effects of global warming. In doing so, the chapter critically examines innovative measures and instruments introduced by top hotel chains within their CSR programs with an aim of reducing their carbon footprint. It lays emphasis on the practical dimension, highlighting the nature and effectiveness of concrete initiatives, and the issues that arise during the implementation process. The chapter concludes by providing specific managerial-policy guidelines, thereby contributing to the dissemination of best practice, and suggestions for further research.

Technology proliferation is on a movement to outpace an 18^th-century computing industry paradigm known as “Moore’s law.” This law establishes the rate of technological advancements. The premise of this edict is evident in our coupled workplace with the integration of an emerging technology known as Ambient Intelligence (Aml).

The modernization of the traditional office is designed to be collaborative and environment-friendly. Modernization is primarily due to ambient intelligence. “Opportunities for process and business improvements will derive from a “real-world Web” of smart objects and ambient intelligence, and from consumer-oriented trends such as Web business platforms, aesthetic design, and mobile robots as they move into the business world” (Fenn and Smith, 2005, para. 1). It is safe to reason that ambient intelligence is on a trendy trajectory in many business-oriented workplaces, worksites and workspaces. The business culture is inconspicuously changing before our eyes. Architects and designers are seamlessly incorporating this trend into their respective end-to-end processes of constructing new or retrofitting existing office spaces.

Its unnoticeably embedded adoption is in conference rooms, doorways, elevators, escalators, lighting, meeting rooms, phone displays, and walkways. As ambient technology naturally collides with the functional way an office professional interactively operates through a usual workday, its adaptation becomes seemingly smart and swift. The interesting facet of this technology is that one would not know it unless it was pointed out.

Although there are equipment and devices that offer a singular approach of being convenient and hands-free, there exist common misconceptions and unassuming annoyances that are in place as inherent issues. Once the work environment impedes productivity or natural flow of movement, we realize something is different. These differences align to the surrounding tangible and intangible cues. The information presented in this chapter will disclose the underlying issues at a practical level.