Drones in Manufacturing and Industrial Applications
Damodharan Palaniappan, T. Premavathi, Rituraj Jain, Kumar J. Parmar · Advances in computational intelligence and robotics book series · 2025
Computer vision enhances the environment and hence enhances the use of the drones. Most computations are local and are thus is the reason why edge computing reduces drone latency. The capability of fast data processing allows the drones to operate in safety-critical industrial missions on their own. Self-driven AI drones are better than those that are manually controlled. In the industrial application, LAD precision enhances the security, the agility and the effectiveness. The drones that are controlled by artificial intelligence can protect industrial businesses from being hacked. When implementing decentralization to computers the Robotics will monitor the networks, analyze weaknesses, and prevent predicted threats in industrial facilities. UAV relativism is an environment that integrates with the surroundings as soon as the UAV is deployed using artificial intelligence and edge computing. To support normal drone operations, edge computing is applied for the purpose of processing as well as providing AI analysis.