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People's health and the world economy around worldwide are under the impact of the virus. Controlling the propagation of coronavirus is extraordinarily challenging after the seventeen months since the pandemic outbreak. This research will represent the efficiency of robots in helping humanity in facing the Corona pandemic and the global health crisis. According to the quick and widespread Covid-19 contagion globally, healthcare service demand increased staff with less availability. In this crisis, robotics is the safe solution at a low price to support people to fight Covid-19.Furthermore, it is essential to relax lockdown restrictions after the increase in the number of people vaccinated. In this context, we designed a mobile robot with a thermal temperature scanner for pedestrians and identified those with abnormal temperatures over 39°C in public places and track them in real time. This robot features a long-lasting, lightweight battery and a high-quality thermal camera. Our primary target is to reduce the risk of transmission between people.  We use a single-board computer and a thermal camera to detect unusual fevers near real-time to achieve this design and prototyping. In addition, we use image processing to detect target pedestrians and a control system to guide the robot. This robot can bypass any potential obstacles that can prevent it from moving around and cause problems. The development of this robot mainly focuses on the real-time measurement of body temperature at a distance of two meters. The compensation algorithm can coordinate between the mechanical parts of the robot and high-efficiency design.

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Drinkable water is very limited on Earth, and groundwater is considered as one of its main sources, especially in the arid and semi-arid countries where there is scarcity in surface water sources, and the distribution of rainfall is not consistent all seasons. Mostly, groundwater is impacted by human activities. Changes in Land Use and Land Cover (LULC) are commonly human-induced activities that affect the groundwater system. Continuous growth in population rate forces governments to expand urban areas, which leads to negative consequences for groundwater storage. This study examines this issue extensively in Jebel Ali - Dubai. Recently, Jebel Ali continuously growing region, it is considered one of the most significant urban development areas in Dubai. This paper aims to map groundwater potential areas by applying 6 hydrological and topological factors to Analytic Hierarchy Process (AHP). As well as creating Land Use and Land Cover (LULC) classification of 2002 and 2020 in order to detect the changes in urban classes of the city in the last two decades. Afterwards, Dubai expansion can be evaluated by calculating the given presence of a high groundwater potential zone in areas that have become urban. To achieve these objectives, there are two types of data were used, DEM data provided from SRTM with 30 meters spatial resolution and multispectral image delivered from Landsat 7 and 8 with 30 meters spatial resolution. The result was found to be 496.7 sq KM in Dubai has High Groundwater Potential (HGP), with only 0.7% located in Jebel Ali. Considering the changes that occurred in this area, only 0.028 sq KM of the HGP has become urban since 2002.