NexPro AI Face Recognition System Deep Dive:
Frontend-Intelligent, Affordable Personnel Management

Following the successful launch of its AI ANPR system, NexPro now introduces an AI-powered face recognition solution built on the same groundbreaking 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, trajectory tracking, blacklist/whitelist management — to small and medium sites such as factories, construction sites, residential communities, and rural areas, at a fraction of the traditional cost. No dedicated face recognition servers, no complex algorithm deployment — ordinary security installers can deploy a fully functional system rapidly.

This article provides a comprehensive technical breakdown across four dimensions: hardware architecture, network topology, core functions and NVR interface, and real-world application scenarios.

1. 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:

1.2 Compatibility & Scalability

• Seamless Integration with Existing Systems: NexPro AI face cameras co-exist with ordinary surveillance cameras and AI ANPR cameras on the same NVR. No need to replace existing equipment — simply add face recognition cameras to the network, and the system automatically recognises them.
• Open SDK: Provides a complete secondary development interface, enabling easy integration with access control, attendance systems, visitor management, and barrier gate systems for customised functions such as "face unlock," "face attendance," and "stranger alarm."
• 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, no service charges.

2. 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

1. Frontend Device Layer: NexPro-AIF-5MP AI face recognition cameras (with P2P cloud connectivity, supporting 4G/5G wireless transmission if needed) alongside NexPro-BL9013M55-5MP-TRI general surveillance cameras for comprehensive area coverage.
2. 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.
3. Local Storage Layer: The switch transmits data to a NexPro NVR (NVR2232-4K / NVR4449-4K / NVR8864-4K), which handles video recording and face data storage locally with RAID-capable SATA bays.
4. Internet Access Layer: The NVR connects to the internet via a router, enabling communication with the cloud.
5. Cloud Service Layer: Based on the Seetong global cloud platform, providing free remote access services — no port forwarding, no static IP required.
6. 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.

Figure: NexPro AI Face Recognition System — Complete Network Topology

2.2 Topology Diagram

NexPro AI Face Recognition System Network Topology

2.3 Seetong Cloud — Core Advantages

3. 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 100ms.
• 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 footage.
• 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.

3.2 NVR 4.0 Face Analysis Interface

The "Face Analysis" module on the NexPro NVR is the operational hub of the system. Its interface is clean and efficient, divided into three main areas:

• Top Function Bar: Contains "Behaviour Analysis," "Face Analysis," and "Statistical Analysis" tabs — currently on "Face Analysis."
• Left Navigation: Divided into "Face List" (for managing whitelist, blacklist, and stranger list databases) and "Face Recognition" sub-menus.
• Main Operation Area:
  • Three List Management: Tabs for "Whitelist," "Blacklist," and "Stranger List" at the top. The system automatically categorises all captured faces. The Stranger List automatically records all individuals not yet added to any list.
  • Face Attribute Display: Each face card shows a unique ID, with automatically recognised gender and age group (e.g., "Male - Youth," "Female - Adolescent").
  • Bottom Action Bar: Four core operation buttons: "Add to Whitelist," "Add to Blacklist," "Search by Image," and "Search Video by Image." Select any face and execute with one click.
  • Pagination: Supports browsing face records across multiple pages, with quick navigation to any page.

Figure: NexPro NVR Face Analysis Interface — List Management & Face Search

4. AI Face Recognition Camera — Standard Deployment Parameters

Correct installation is critical for face recognition accuracy. Below are the recommended deployment parameters for the NexPro-AIF-5MP camera in typical scenarios.

5. 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.

5.2 Internal Corridors & Passageways

Deployed in office buildings, factory floors, or residential corridors to track personnel movement. When a blacklisted individual or stranger enters a sensitive area, the system automatically triggers an alarm.

5.3 Construction Site Access

Manages worker entry and exit, effectively preventing unauthorised personnel from entering the site. Supports integration with turnstile gates for "face-based passage," while recording worker attendance times to provide data for payroll verification.

5.4 Village / Rural Entrance

Rural areas face complex population flows and challenging public security management. This system, with 4G connectivity and simple cabling, can be quickly deployed at village entrances to automatically log all individuals entering and leaving, providing robust support for rural security and crime prevention.

6. Summary: A New Standard for Affordable AI Personnel Management

NexPro's AI face recognition system continues the company's product philosophy of "frontend intelligence for everyone." By embedding AI processing power directly into the camera chip, it has broken down the price barrier of face recognition technology, making it accessible to thousands of small factories, construction sites, residential communities, and rural areas — not just large enterprises and government projects.

Compared with traditional face recognition systems, it offers four core advantages: low cost, fast deployment, simple maintenance, and strong compatibility. No expensive dedicated servers, no algorithm engineers required — ordinary security installers following standard procedures can deliver a fully functional face recognition system.

With the introduction of this AI face recognition camera, NexPro has now built a complete frontend AI product matrix covering both vehicles and personnel, providing a one-stop intelligent security upgrade solution for small and medium sites. The architecture of "standard NVR + frontend AI chip" is rapidly becoming the mainstream direction of the security industry.

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