ABSTRACT
Smart manufacturing in unmanned aerial vehicles (UAVs) is a technology-driven approach that supports human activities such as target tracking, disaster rescue, and surveillance. Multi-UAV operations are essential for a number of applications in both military and civilian areas, framework based on decision making for evaluation on real time of resilience of methods to handle disrupting events either external or human related. Among the four aerodynamics forces, Lift in aircraft is generated by the aircraft wing. Testing and inspection are a very tedious process because of their magnitude and location of the wing. Any damages in the wing will cause a devastating effect on human life and property. In addition to this, the aircraft has to be inspected before every takeoff, which can be automated since manual intervention is very tedious. Hence, strategies for detection of wing structural failure in aircraft opens a wider scope for the application of technologies like UAVs for monitoring, machine learning, and Edge AI for processing, etc. The objective of the proposal is to deploy the UAVs for aircraft wing inspection and further decision making about its condition is arrived through Edge AI technology at the site of aircraft. The analysis shows the accuracy of vehicle traffic data, multitasking cooperated UAV networks, a control system for plant protection, links between the smart customized manufacturing, sensor integration, and deep neural link network for autonomous UAV in every environment. The development of UAV has succeeded in every major field, from the military to agriculture and from navigation to media processing and cloud computing using artificial intelligence. All UAVs have some decision-making capabilities and are specially assigned a task to perform within a UAV system. In the environment, the UAVs need to cope up with disruptive events, which is very essential. This study analyzes how UAVs possess various sensors and cameras that streamline the aerial monitoring procedures, lessening the data collection period, and reducing cost. Toward accurate and rapid development, analyzes, and data collected from UAVs is more important. This chapter provides more details and offers a thorough inspection process using UAV protocols of communication, networking schemes, designs, applications, and R&D work.
