In the world we live in today, technology is changing at a speed that we can barely measure. Improvements in technology have made it possible for this project to be put into place (Do & Yoo, 2018). Mobile application trends have been on the increase due to the rise in the demand for exceptional service delivery to consumers of coffee in Qatar for example. The technology behind the mobile application can be explored further to come up with other ideas and techniques that could be utilized in different fields.
Sensors, for example, can be utilized by smart cities to develop intelligent lighting systems and sensor technologies which is a revolutionary technology that offers "light in demand." The technology utilized in street light sensors is integrated with wireless lighting control technology whose origin is traced back to wireless LAN systems used in the project. Sensors used in the project can also be utilized in intelligent street lighting to make life more comfortable. Recently, LED lighting systems has been on the increase in home lighting, street lighting, landscape, public, and even commercial lighting. Sensors have been used in the lighting industry by technologists as a "weapon" to achieve intelligent lighting systems to allow individuals to have secure lighting systems and sustainable energy saving (Chang, Tian, Gu, Yang & Chen, 2019) . Sensors and wireless technology could be further explored in the lighting industry to have a more energy efficient, comfortable and easy maintained lighting systems as sensors in street lights, for example, can detect motion to turn on lights. The advantage of having sensors in lights is because it is comfortable to use, energy saving, fail-proof, automatic and provides timely notifications. Advanced street light sensors capabilities involve the ability to detect traffic without having additional sensors since they can show relevant traffic density based on the number of triggers by the generated heat map.
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Sensors can also be used in robots and autonomous vehicles and robots. The sensors are used to detect the robot's environment, and conditions and the signals perceived by the sensors are transmitted to a controller to enable appropriate behavior. Application of sensors in robots allows them to have the ability to measure the distance between objects, presence of light and even the frequency of sound available in the environment (Pitchay, Alhiagem, Ridzuan & Perumal, 2018) . The sensors used in the project can be used further to explore its application in robots to develop internal robots’ sensors such as velocity and position sensors. Further application of sensor technology used in the project could be in self-driving cars which should contain a lot of sensors to be able to “see” or perceive the environment. The autonomous car technology also uses cameras to scan the environment combined with ultrasonic sensors and radars for a successful driverless drive.
Improvement
The project can be explored further to enable accurate detection of the number of people in a café to ensure precision and accuracy, which will be beneficial to both the consumer and owners of the restaurant ( Rakshit, Kar, Banerjee & Das, 2019) . Improvements that could be made to ensure smooth service delivery should be a combination of an image from cameras and sensors into one gadget that would have the ability to recognize people from other objects in the café and also count the number of people present at the time in the café.
The improvement will involve the use of small cameras which are integrated with circuit boards which have advanced facial recognition capabilities. The camera models should be improved to have a broad angle view, as it will be efficient in detecting the total number of people present in the café, and also few cameras will be used in the long run ( Oinas-Kukkonen & Harjumaa, 2018) . The component to be installed in the camera would be done using a Universal Serial Bus (USB) cable and would include different image sensing functions. The sensing capabilities of the components would be face recognition, motion detection, human body detection, and even age estimation (Schwab, Langell, 2018) . With all the integration, café application will accurately inform customers on the number of individuals present in the café, and the owner, the total number of sales made during the stipulated period.
Solution Shortcoming
Café application is a solution that would fasten the process of ordering coffee in the city. The solution, however, comes with a shortcoming which is a system embedded in the camera, trusted with the ability to count individuals in a café. The ability of frames to accurately detect a person could be inaccurate, so the codes of the frames tasked with counting individuals in a café need to be improved. To curb the shortcoming, high-end programmers with advanced skills in MATLAB, JSON and python should be hired to develop the code that is responsible for the detection of individuals (Escivar, Torres-Sospedra & Berlanga-Llavori, 2018) . The algorithm should be revisited and coded with precision to accurately detect individual in a room and differentiate them from other objects in the room. The code should also remove redundancy whereby the camera might count an individual twice when the person visits a washroom and comes back, or maybe the individual has come with friends who are just accompanying the buyer (de Miguel, Kyba, Aubé, Cardiel & Gaston, 2019) . The code should accurately detect a child who is in the vicinity and not buying a coffee or a snack in the café, to improve the performance and integrity of the system. When this inequity in the system is addressed, the project will be a success, and fewer incidences of system failure and integrity will be mentioned. System integrity is due to accurate testing of the technology to smoothen the café business where clients will order coffee and snack at the click of a button in their phones, whenever they need it.
Reference
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