Samsung Automation Studio is to provide development tools and execution environment that can easily configure application logic by connecting both Samsung service and 3rd party service. This project is to share the node for open source NodeRED developed by Samsung Automation Studio team to the community. If you are using nodered, you can easily install the node we provide. And you can use Samsung's IoT and AI-related services more easily, and you can have an extended experience in conjunction with your own services.
Hello.
This is the 'Good I-Deer' team from the Samsung SW Academy For Youth 9th.
In the Samsung Automation Studio for Mashup (hereinafter referred to as 'SASM'), we provide object detection, face detection, face vectorization, vector comparing and vector database nodes that work with SmartThings devices.
The nodes we developed are as follows.
Node Name
Description
Good Obejct Detection
Extract object information from image
Good Webcam Object Detection
Extract object information from Webcam
Good Face Detection
Extract face information from image
Good Face Vectorization
Extract feature points from face image and convert them into 512 dimension vectors
Good Calculate Consine
Calculate cosine similarity between vectors
Good ChromaDB
Use ChromaDB to store and query vector values
Special Thanks to Samsung Electronics mentor Sehwan Chang who led us during the SSDC project.
안녕하세요.
삼성 청년 SW 아카데미 9기의 'Good I-Deer' 팀 입니다.
Samsung Automation Studio for Mashup(이하 SASM)에서 SmartThings 기기와 연동하여 객체 인식, 얼굴 인식, 얼굴 벡터화, 벡터 값 비교 및 저장하는 노드의 개발을 진행했습니다.
Hello. This is the 'Good I-Deer' team from the Samsung SW Academy For Youth 9th.
In the Samsung Automation Studio for Mashup (hereinafter referred to as 'SASM'), we provide object detection, face detection, face vectorization, vector comparing and vector database nodes that work with SmartThings devices.
The nodes we developed are as follows.
Special Thanks to Samsung Electronics mentor Sehwan Chang who led us during the SSDC project.
안녕하세요. 삼성 청년 SW 아카데미 9기의 'Good I-Deer' 팀 입니다.
Samsung Automation Studio for Mashup(이하 SASM)에서 SmartThings 기기와 연동하여 객체 인식, 얼굴 인식, 얼굴 벡터화, 벡터 값 비교 및 저장하는 노드의 개발을 진행했습니다.
저희가 개발한 노드는 다음과 같습니다.
SSDC 프로젝트 기간동안 저희를 이끌어주신 삼성전자 장세환 멘토님께 감사드립니다.