# 5.2.1 HUENIT Classification 코딩하기

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카메라에 내 AI 학습 모델을 업로드 하기 위해 **카메라를 컴퓨터에 연결**시켜야 합니다.
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<figure><img src="https://3075547475-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FmpoZH5TMk0ougpcCYECz%2Fuploads%2FYU9LwsP3uKSiR8TvvS38%2Fhttps---files.gitbook.com-v0-b-gitbook-x-prod.appspot.com-o-spaces%252FmpoZH5TMk0ougpcCYECz%252Fuploads%252FIhN3WKCojEjZX5mFHcdR%252Fimage.png%3Falt%3Dmedia%26token%3De8d5e24b-251a-450c-a00e-14f482984041.avif?alt=media&#x26;token=fa4dcdc0-57e0-423b-a071-f4346c327dbd" alt=""><figcaption></figcaption></figure>

#### 1. 사용자가 학습시킨 AI모델 카메라에 업로드 하기

* \[학습상태]가 \[완료]로 표시 되면, 카메라를 컴퓨터에 연결한 상태로 내가 학습시킨 프로젝트의 \[업로드] 버튼을 누른다.

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업로드의 소요시간은 대략 1분정도 이다.
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<figure><img src="https://3075547475-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FmpoZH5TMk0ougpcCYECz%2Fuploads%2FMHmGqgCtsASTIhPCRJjh%2F%E1%84%89%E1%85%B3%E1%84%8F%E1%85%B3%E1%84%85%E1%85%B5%E1%86%AB%E1%84%89%E1%85%A3%E1%86%BA%202025-11-27%20%E1%84%8B%E1%85%A9%E1%84%8C%E1%85%A5%E1%86%AB%2010.35.08.png?alt=media&#x26;token=13efe80e-5877-4b8b-87e2-1451a886cdc4" alt=""><figcaption></figcaption></figure>

<figure><img src="https://3075547475-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FmpoZH5TMk0ougpcCYECz%2Fuploads%2FkFnaq5rzsGzDliTwrD6N%2F%E1%84%89%E1%85%B3%E1%84%8F%E1%85%B3%E1%84%85%E1%85%B5%E1%86%AB%E1%84%89%E1%85%A3%E1%86%BA%202025-11-27%20%E1%84%8B%E1%85%A9%E1%84%8C%E1%85%A5%E1%86%AB%209.37.23.png?alt=media&#x26;token=ce783fda-a911-439d-a238-b43e81dfe847" alt=""><figcaption></figcaption></figure>

#### 2. 사용자가 학습시킨 모델 \[코드]탭에서 코딩하기

* 업로드가 완료 되었다면 \[코드]탭으로 이동한다.

<figure><img src="https://3075547475-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FmpoZH5TMk0ougpcCYECz%2Fuploads%2FRFoJPCOLOxbMyFU4boVi%2F%E1%84%89%E1%85%B3%E1%84%8F%E1%85%B3%E1%84%85%E1%85%B5%E1%86%AB%E1%84%89%E1%85%A3%E1%86%BA%202025-11-27%20%E1%84%8B%E1%85%A9%E1%84%8C%E1%85%A5%E1%86%AB%2010.41.35.png?alt=media&#x26;token=297ef6c3-b4e9-49eb-809f-9804a05c7d13" alt=""><figcaption></figcaption></figure>

* \[코드]탭에서 카메라를 연결해 준다.

<figure><img src="https://3075547475-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FmpoZH5TMk0ougpcCYECz%2Fuploads%2F0WCwXCaSpGaSzfSs6xPM%2F%E1%84%89%E1%85%B3%E1%84%8F%E1%85%B3%E1%84%85%E1%85%B5%E1%86%AB%E1%84%89%E1%85%A3%E1%86%BA%202025-11-21%20%E1%84%8B%E1%85%A9%E1%84%92%E1%85%AE%204.37.25.png?alt=media&#x26;token=58448068-bcde-4236-998d-ac2b972e3b50" alt=""><figcaption></figcaption></figure>

* \[인공지능]버튼을 눌러 \[휴닛 일반 모델]을 선택한 후, \[yolo\_Huenit]버튼을 누른 후 코딩을 시작한다.

<figure><img src="https://3075547475-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FmpoZH5TMk0ougpcCYECz%2Fuploads%2FHse4ZJeJJaaVgCmnio87%2F%E1%84%89%E1%85%B3%E1%84%8F%E1%85%B3%E1%84%85%E1%85%B5%E1%86%AB%E1%84%89%E1%85%A3%E1%86%BA%202025-11-27%20%E1%84%8B%E1%85%A9%E1%84%8C%E1%85%A5%E1%86%AB%2010.27.02.png?alt=media&#x26;token=0c68a3e5-567c-4432-9296-f068538f5480" alt=""><figcaption></figcaption></figure>