Required stack
필요 기술
PythonDeep LearningComputer VisionSignal ProcessingSoftware ArchitectureYOLOv8TensorFlow/PyTorchSDR (Software Defined Radio)ElectronicsData Analysis
Project brief
프로젝트 내용
Hybrid Artificial Intelligence System for Autonomous Drone Detection Using Computer Vision and RF Signal Analysis
The idea is to build AI detection system based on hybrid method (Computer vision and RF signal) and present results :Accuracy, Precision, Recall and False Alarm Rate
Algorithms:
Computer vision: YOLOv8 (Object Detection)
RF analysis: CNN for Spectrogram analysis
Merge in :
Rule-Based Fusion
• or Neural Network Fusion
Dataset :
Vision Datasets:
• Anti-UAV Dataset
• VisDrone
RF Datasets:
• DeepSig RadioML Dataset
• Custom SDR Capture (HackRF / RTL-SDR)
Budget : 150$
The idea is to build AI detection system based on hybrid method (Computer vision and RF signal) and present results :Accuracy, Precision, Recall and False Alarm Rate
Algorithms:
Computer vision: YOLOv8 (Object Detection)
RF analysis: CNN for Spectrogram analysis
Merge in :
Rule-Based Fusion
• or Neural Network Fusion
Dataset :
Vision Datasets:
• Anti-UAV Dataset
• VisDrone
RF Datasets:
• DeepSig RadioML Dataset
• Custom SDR Capture (HackRF / RTL-SDR)
Budget : 150$