MEASUREMENT DEVICE AND METHOD FOR OPTPUTTING WATERMELON SUGAR CONTENT BASED ON MACHINE LEARNING

An embodiment of the present invention further comprises: an input unit receiving multiple pieces of input sound data by striking a watermelon; a processing unit inputting the multiple pieces of the input sound data into a learning module and outputting a sugar content result from the learning modul...

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Bibliographische Detailangaben
Hauptverfasser:	KIM TAE HOON, KIM HUHN, AN BYUL, HAN JAE HYEON
Format:	Patent
Sprache:	eng ; kor
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES MEASURING PHYSICS TESTING
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Beschreibung
Zusammenfassung:	An embodiment of the present invention further comprises: an input unit receiving multiple pieces of input sound data by striking a watermelon; a processing unit inputting the multiple pieces of the input sound data into a learning module and outputting a sugar content result from the learning module; and an output unit displaying the outputted sugar content result. Disclosed is a device for measuring watermelon sugar content based on machine learning, wherein the multiple pieces of the input sound data are divided at a predetermined time interval based on a peak position. 실시예는 수박을 타격하여 발생한 복수의 입력 사운드 데이터를 수신하는 입력부; 상기 복수의 입력 사운드 데이터를 학습 모듈에 입력하고 상기 학습 모듈로부터 당도 결과를 출력하는 처리부; 및 상기 출력된 당도 결과를 디스플레이하는 출력부;를 더 포함하고, 상기 복수의 입력 사운드 데이터는 피크(peak) 위치를 기준으로 소정의 시간간격으로 구획된 데이터인 기계학습에 기반한 수박 당도를 출력하는 측정 장치를 개시한다.