Plan a face recognition CCTV system around a lawful use case, capture conditions, enrolment quality, threshold testing, data governance and integration.
Section 01
Treat face recognition as a governed workflow
Face recognition performance depends on capture angle, face size, lighting, motion, enrolment quality, threshold settings and the population being evaluated. A camera or AI label alone cannot establish real-world accuracy for a project.
Before procurement, confirm the lawful purpose, data controller, notice and consent requirements, retention, access controls and human review process in the destination jurisdiction. Run a representative pilot and measure false matches and missed matches against the approved operating threshold.
Section 02
Project checkpoints before model selection
Use the following checkpoints to turn the search question into a project brief. They are decision inputs, not universal product claims.
- Document the lawful purpose and whether identification is actually necessary
- Control enrolment images, identity labels and deletion requests
- Test representative demographics, lighting, pose, distance and motion
- Require human review before an alert triggers an adverse action
- Protect biometric templates, event logs and exported evidence
Section 03
Project planning overview
Following the successful launch of its AI ANPR system, NexPro now introduces an AI-powered face recognition solution built on the same edge-based philosophy: chip-level AI embedded in the frontend camera, paired with a standard NexPro NVR backend. This approach brings enterprise-grade face recognition - identity verification.
This article provides a comprehensive technical breakdown across four dimensions: hardware architecture, network topology, core functions and NVR interface, and real-world application scenarios.
Section 04
Core Hardware Architecture: Frontend AI Chip Redefines Cost Boundaries
Unlike conventional face recognition systems that rely on backend server processing power, NexPro's solution offloads all AI computation to the camera's embedded chip, fundamentally reducing system cost and deployment complexity.
1.1 The Golden Combination: NexPro AI Face Camera + NexPro NVR 4.0 Series
The system logic is " Frontend Recognition + Backend Management & Retrieval ", optimising the allocation of computing power and storage:
- Seamless Integration with Existing Systems: NexPro AI face cameras co-exist with ordinary surveillance cameras and AI ANPR cameras on the same NVR.
- Open SDK: Provides a complete secondary development interface, enabling easy integration with access control, attendance systems, visitor management.
- Free Cloud Services: Native support for Seetong global cloud platform. All remote access, device management, and data synchronisation features are permanently free - no annual fees.
| Item | Planning note |
|---|---|
| NexPro NVR Series | As the unified management hub, the NexPro NVR receives video streams and face metadata from the frontend cameras, handling centralised storage, list management (whitelist, blacklist. |
Section 05
Network Topology & Cloud Services
The system adopts a " Local Storage Primary, Cloud Services Secondary " architecture, ensuring both data security with local access speed and convenient remote management capability.
2.1 Complete Network Topology
Figure: NexPro AI Face Recognition System - Complete Network Topology
- Network Switching Layer: All frontend devices connect via Ethernet to NexPro SW-POE1618G or SW-POE2426G PoE switches for data aggregation and power delivery over a single cable.
- Internet Access Layer: The NVR connects to the internet via a router, enabling communication with the cloud.
- Cloud Service Layer: Based on the Seetong global cloud platform, providing free remote access services - no port forwarding, no static IP required.
- Terminal Access Layer: Seetong Client (Windows/macOS) and Seetong APP (iOS/Android) for real-time view, face search, and remote playback from anywhere in the world.
| Item | Planning note |
|---|---|
| Completely Free | All remote access, cloud-based device management, and basic cloud storage are provided free of charge - no annual fees, no service charges. |
| Global Coverage | Supports remote access worldwide. Wherever you are, you can view live footage and face records via your phone or PC. |
| Plug-and-Play | No complex port mapping or DDNS configuration. Devices automatically register with the cloud once connected to the internet. Scan the QR code to add the device - online within one minute. |
Section 06
Core Functions & NVR 4.0 Interface Deep Dive
The core value of this system lies in transforming complex AI functions into simple, intuitive operations on the NVR - even non-specialists can use it effectively.
3.1 Six Core Functions
The system natively supports the following six core functions without any additional licensing fees:
- Real-Time Face Recognition: Frontend cameras detect faces in real time, extract feature vectors, and compare them against the local list database with a recognition latency below 1.
- Search Video by Face: Upload a face image, and the system quickly retrieves all video clips where that person appears across all cameras - no more manual scrubbing through hours of.
- Search Face by Face: Image-based search across the entire face capture database to find all records similar to a target face.
- Whitelist / Blacklist Management: Create whitelists (authorised personnel) and blacklists (restricted personnel) with configurable alarm rules.
- Cross-Camera Video Tracking: Automatically correlates face records from different cameras, generating a complete movement trajectory for any individual within the monitored area.
- Cross-Camera Face Search: Unified search across all camera capture databases for comprehensive personnel tracking.
Section 07
AI Face Recognition Camera - Standard Deployment Parameters
Use this section as a planning reference only. Confirm every model, numerical limit and compliance item from the selected product's current documentation before it enters a project specification.
| Parameter | Entrance / Gate | Corridor / Passageway | Open Area (Lobby) |
|---|---|---|---|
| Recommended Lens | 6mm or 8mm | 4mm or 6mm | 4mm |
| Mounting Height | 2.0 - 2.5m | 2.2 - 2.8m | 2.5 - 3.5m |
| Horizontal Angle (to face) | ≤15° | ≤30° | ≤30° |
| Tilt Angle (from horizontal) | ≤15° | ≤20° | ≤25° |
| Optimal Recognition Distance | 2 - 5m | 2 - 8m | 3 - 10m |
| Max Recognisable Persons per Frame | 3 - 5 | 2 - 4 | 5 - 8 |
| Lighting Requirement | ≥200 Lux (supplement if needed) | ≥100 Lux | ≥150 Lux |
| Typical Application | Company entrance, factory gate, residential gate | Office corridor, warehouse aisle | Building lobby, conference room entrance |
Section 08
Typical Application Scenarios
This system is specifically designed for scenarios that require personnel entry/exit logging and security control without mandatory physical barriers. Here are four representative use cases:
5.1 Company Entrance
Records employee and visitor entry/exit, automatically distinguishing internal staff (whitelist) from unfamiliar visitors without manual registration. Supports integration with attendance systems for face-based automatic check-in, replacing traditional punch cards.
Section 09
Visual reference: Summary: A New Standard for Affordable AI Personnel Management
This existing project visual is retained as an orientation aid. It does not by itself verify a model specification, system capacity, certification or completed deployment; confirm those items from current order-specific documents.
Section 10
Evidence to verify before quotation or order
Ask the supplier to bind the quotation to the exact models, firmware or configuration, accessories and destination-market requirements. Keep assumptions visible and resolve them through samples, datasheets or written order terms.
- Applicable privacy, biometric and employment rules in the deployment country
- Camera-to-platform compatibility and supported face metadata
- Pilot results using the proposed threshold and real capture geometry
- Retention, encryption, access log and deletion controls
- Documented fallback when the recognition service is unavailable
Engineering references
These sources support the general planning principles. Always use the selected product's current datasheet and applicable project standards for final design.
