A Cost-Efficient Autonomous Air Defense System for National Security

In a country, air defense systems are designed to reduce threats efficiently. An system is fundamental part of any country because it provides national security. This study presents an autonomous (AADS) development that will automatically detect aerial (e.g., drones) and target them without human intervention. The AADS implemented using radar, camera, laser gun. radar dynamically emits microwaves detects moving objects around it. It triggers the camera if senses frequency threat. receives radar’s signal neural network algorithm whether threat or not. Neural algorithms used for detection classification objects. gun locks its live video feed classifies object as more than 75% stage, average loss 0.184961 was achieved YOLOv3 0.155 Faster-RCNN. ensure no errors made while detecting in region improve safety.