DRONE BASED INTELLIGENT METALLIC ANOMALY DETECTION SYSTEM

Abstract: This survey paper systematically investigates a drone-assisted intelligent system capable of detecting metallic abnormalities. Our solution utilizes multiple types of high-precision sensors along with machine learning-based algorithms to operate autonomously and examine metallic items or any possible metallic anomalies in the environment. The utilization of those technologies on a drone platform is more flexible, simple and efficient solution for industries like infrastructure monitoring, environment, and security. The system assists in improving the rate of detection while eliminating the need for human inspections. As our drone will be using a HD camera for live videography that will be transmitted to the mobile screen with the help of an app. This improvement will be a great step towards ensuring that both safety and workflow are perfect. Through a series of experiments that illustrate this method, we show the ability of this strategy to change the approach to detect and manage the metallic anomalies.