Over the past few years, there has been an increase in the use of Unmanned Aerial Vehicles (UAVs). The various advantages of UAVs are safety in airspace and their ability to enable the beyond visual line of sight operation. According to the market intelligence report by BIS Research titled, ‘Global UAV Sense and Avoid System Market-analysis and Forecast (2017-2022),’ the market for UAV sense and avoid system accounted the value $508.7 million in the year 2016 million, with commercial application holding the highest share. The prominent share of the commercial sector is attributed to the rise in demands of drones equipped with sense and avoid system across commercial applications such as inspection, delivery, first responder, and aerial imaging, among others.
Automation technology has spread rapidly across different industry verticals and the emergence of this technology has resulted in the introduction of Robotic Process Automation (RPA) software. Robotic process automation software eases the work of data collection and management in organizations, which previously required manual labor. Technologies including artificial intelligence, natural language processing, machine learning and voice recognition, among others, are being significantly used in cooperation with robotic process automation in order to make it advanced with intelligent automation. The integration of cognitive capabilities within robotic process automation has led to the development of cognitive robotic process automation.
The world recently witnessed the devastation hurricane Irma and hurricane Maria brought with them. Such unpredictable and changing patterns in the natural environment have shifted the focus of the countries and their governments from development to sustainable development. The focus of most of the nations has also turned to their infrastructures, which are one way or the other taking a toll on the environment, especially in developing countries.