PROPOSE METHODS TO CONTROL UAV BY MOTION RECOGNITION USING ARTIFICIAL INTELLIGENCE CHIPS (AI CHIP)
No. 63 (2020), Science - Technology
No. 63 (2020)

PROPOSE METHODS TO CONTROL UAV BY MOTION RECOGNITION USING ARTIFICIAL INTELLIGENCE CHIPS (AI CHIP)

Science - Technology
Published 2022-06-08
TIEP DO KHAC
Faculty of Electrical - Electronic Engineering, Vietnam Maritime University
QUAN DAO MINH
Faculty of Electrical - Electronic Engineering, Vietnam Maritime University
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Keywords

NM500, UAV, artificial intellignence, Neuromorphic chip, IMU. NM500, thiết bị bay không người lái, trí tuệ nhân tạo, Neuromorphic chip, IMU.

How to Cite

ĐỖ KHẮC, T., & ĐÀO MINH, Q. (2022). PROPOSE METHODS TO CONTROL UAV BY MOTION RECOGNITION USING ARTIFICIAL INTELLIGENCE CHIPS (AI CHIP). Journal of Marine Science and Technology, 63(63), 69–73. Retrieved from https://jmst.vimaru.edu.vn/index.php/tckhcnhh/article/view/232
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Abstract

This article deals with a controller for UAV by motion recognition using newly developed neuromorphic artificial intelligent chip NM500. Neuromorphic artificial intelligence is distinguished from other AI by its particular hardware structure and parallel algorithms of learning and recognition. Thus, nơ-rons of NM500 can learn and recognize patterns extracted from any data sources with less energy and complexity than modern microprocessors. The proposed application can control the UAV by recognizing the motion which. We have built a small UAV model to discuss the real-time performance as well as hardware implementation with NM500. Taking advantages of NM500, the system simply consists of an IMU and a NM500, which processes the signal from the IMU and then send control signal to a UAV controller.

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