Face Recognition Solution

1. Overview

The Face Recognition plugin for NeoMind detects faces and identifies individuals from images captured by connected devices. Results are displayed in real-time on the dashboard and can also be queried using AI Chat via natural language.

Typical Application Scenarios:

Scenario	Description
Access Control	Identify personnel entering and leaving, enabling smart access management
Attendance Tracking	Automatically recognize employees' facial features and log attendance
Visitor Registration	Compare visitors against registered personnel to distinguish known from unknown individuals
Security Monitoring	Detect and identify individuals in surveillance footage in real-time

Data Flow:

NE101/NE301 Image Capture → NeoMind Platform → Face Recognition Plugin (Detection + Identification) → Dashboard Display + AI Chat Query

2. Bill of Materials (BOM)

Item	Model/Spec	Qty	Purpose	Required
Smart Camera	NE101 or NE301	1+	Image capture	✅
NeoMind Platform	v0.6.10+	1	Edge AI management	Download ✅
Local LLM	Ollama	1	AI Chat backend	Optional

3. Prerequisites

3.1 NeoMind Installation and Configuration

Complete the NeoMind installation, registration, and basic configuration first. For detailed steps, refer to NeoMind Quick Start.

3.2 Device Registration

Register your NE101 or NE301 with the NeoMind platform. For detailed steps, refer to NeoMind Quick Start - Device Management.

4. Install the Face Recognition Plugin

Step 1: Go to the Extensions management page and find the Face Recognition plugin

Step 2: Click to view the plugin details, review the description, then click Install. After installation, confirm the plugin status is Enabled

5. Dashboard Configuration and Usage

5.1 Create Dashboard and Add Face Recognition Component

Go to the Dashboard management page, click Create Dashboard, then add a Face Recognition component:

5.2 Bind Device

Bind a target device (NE101 or NE301) to the Face Recognition component. Once bound, the component will automatically receive and process images captured by the device:

5.3 Register Faces

Before using the identification feature, you need to register faces to the face library. In the Face Recognition component, click Register Face, upload a clear frontal photo and fill in the corresponding identity information:

For best recognition accuracy, use clear, well-lit frontal photos for face registration.

5.4 Test Recognition

Once faces are registered, the plugin will automatically detect and identify faces when the device captures images. View real-time recognition results on the dashboard:

Recognition results include:

Field	Description
Face Bounding Box	Marks the detected face location in the image
Identity Label	Shows the identified person's identity information
Confidence Score	The confidence score of the recognition result

5.5 View History

View all historical face recognition records in the device details, including the original image and recognition result for each entry:

6. AI Chat Query

Once recognition results are stored, you can query face data using AI Chat with natural language. For example:

hello, please analyse the history data and result of 'face recognition', reply in english

7. Appendix

Last updated: 2026-04-23

1. Overview​

2. Bill of Materials (BOM)​

3. Prerequisites​

3.1 NeoMind Installation and Configuration​

3.2 Device Registration​

4. Install the Face Recognition Plugin​

5. Dashboard Configuration and Usage​

5.1 Create Dashboard and Add Face Recognition Component​

5.2 Bind Device​

5.3 Register Faces​

5.4 Test Recognition​

5.5 View History​

6. AI Chat Query​

7. Appendix​

Related Documentation​