Engine Version V4.2.2(2020/11/20 update)

• This is the JAVA project , below is the other language quickStart
  • QuickStart-C#
  • QuickStart-Python

QuickStart

• QuickStart Document
• eGroupAI【Tutorial】│ Face Recognition SDK - Quick Start by JAVA
  • Clone Project
  • Copy project env into project
  • Import Project
  • Create the folder at disk c name QuickStart and copy engine,license and resources into the folder
    • Download engine and put in the QuickStart ( Login )
      • e.g. C:\QuickStart_bk\eGroupAI_FaceEngine_CPU_Windows_V4.2.2
    • Download license.key and put int the engine foler( Login )
      • e.g. C:\QuickStart\eGroupAI_FaceEngine_CPU_Windows_V4.2.2\license.key
    • Download QuickStart resources and put in the QuickStart
      • e.g. C:\QuickStart\eGroupAI_FaceEngine_CPU_Windows_V4.2.2\resources
  • Run Java application - QuickStart Example
    • Application will call engine by cli
      • Training Jerry faceDB
      • Start 1st recognition - video
      • Training Leonard faceDB
      • Model Insert Leonard faceDB
      • Get 1st recognition result
      • Training Daniel faceDB and Append all person faceDB to all.faceDB
      • Start 2nd recognition - video
      • Get 2nd recognition result

Document

Features

• Train：Input specific face, Create a dedicated face model.
• Recognition：Input Face, Recognized with face model and get result.
• Model Insert：Input untrained face and Trained immediately, Insert the new face model to face model and get result at the same time.
• Model Append：Append different face model into one.
• Model Switch：Switch to the new face model and get result at the same time.

Integration

Procedure

1. Using Application software trigger Train to Create Face Model.
2. Application software read image file and trigger Recognition to do comparison with Face Model.
3. Output Comparison Result(JSON format) to Application software.

Flow chart

Environments Required

Hardware and OS

Input Devices And Protocol

Precautions

Function

Training Procedure

Recognition Procedure

When the recognized face model is updated (modified or deleted) , you can use Model Switch to recognize the new face model in time and get the latest recognition results.

Model Switch Procedure

When the recognized face model is updated (modified or deleted) , you can use Model Switch to recognize the new face model in time and get the latest recognition results.

Model Append Procedure

Append different Face Model into one.

Model Insert Procedure

Input untrained Face and Trained immediately, Insert the new Face Model to Face Model and get Result at the same time.

GetResult

Output JSON

Recognition Output

• Cache JSON file
  • Lighter JSON file (Newest 100 data)
• JSON file
  • Recognize result with Date

Resource

• Document

• Official website : https://www.egroupai.com

• Youtube :

  • eGroupAI│【Knowledge】How to evaluate the face recognition engine-ROC Curves
  • eGroupAI│【Partner】 DSI-Face recognition + face temperature detection intelligent epidemic prevention system
  • eGroupAI│【Tutorial】Face Recognition SDK - Quick Start
  • eGroupAI│【Tutorial】CMD Practice
  • MICEPass│【Test Report】LFW Testing
  • eGroupAI│【Demo】SaaS service - mobile facial recognition
  • eGroupAI│【Demo】FaceGo recognition module
  • MICEPass│【Demo】Activity face Check-In
  • eGroupAI│【Demo】Taiwan Social Workers Association Annual Conference Activity
  • eGroupAI│【Demo】Visitor management system and face recognition guard system
  • MICEPass│【Demo】Seminar Face Check-In/out
  • eGroupAI│【Demo】Reference 2018 IoT Seminar FaceCheckIn
  • eGroupAI│【Demo】Reference 2017 Taiwan Future Tech FaceCheckIn
  • eGroupAI│【Demo】FaceCheckIn(JAVA GUI)
  • eGroupAI│【Demo】Multiple WebCam Recognition with one PC
  • eGroupAI│【Demo】Detect & Train at the same time
  • eGroupAI│【Demo】Object Detection

• Github : https://github.com/eGroupTeam

【Contact Information】

• Contact us for more information
  • Face recognition technology licensing Solutions Online discussion
• Daniel 886-2-2362-2508
• egroup.daniel@gmail.com
• eGroup co.,ltd
  • No. 47, Sec. 2, Xinhai Rd., Da’an Dist., Taipei City 106, Taiwan (R.O.C.)

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