Trace

Technical Name	Extreme small object identification for UAV monitoring
Project Operator	National Taiwan Ocean University
Project Host	謝君偉
Summary	We develop the new neural network architecture to improve execution speedaccuracy. The result shows that our AI detection system can run on a microcomputer in real-time, meanwhile its accuracy 90. We put that microcomputer on a dronereturn the result to smartphone App in real-time.
Market Potential Analysis	可應用於各縣市的警察局及交通大隊、降低人力成本。
Industrial Applicability	We develop the new neural network architecture to improve execution speedaccuracy. The result shows that our AI detection system can run on a microcomputer in real-time, meanwhile its accuracy 90. We put that microcomputer on a dronereturn the result to smartphone App in real-time.
Keyword	Deep Learning Extreme small object identification UAV monitoring Low-power design AI detection system embedded system quality agriculture car flow detection pest detection human flow detection Low-power