JP1811 Wall-Mounted Face Recognition and Card Access Control All-in-One Device 8-Inch with a industrial-grade Android RK3568 chipset

Product Overview:
The 8-inch Face Recognition All-in-One Device is a cutting-edge intelligent terminal that integrates advanced face recognition technology. Designed for efficient and accurate identity authentication and information management, this device offers fast recognition speed, enhanced security, high precision, and quick responsiveness. It is widely applicable in various scenarios, including office buildings, residential communities, schools, and commercial areas.

Technical Features:

1. HD Camera: Equipped with a 2-megapixel wide dynamic range (WDR) dual-lens camera, supporting multimodal biometric recognition and WDR liveness detection for accurate and fast face recognition.
2. Large Face Database: Capable of storing up to 50,000 faces, meeting the requirements of large-scale venues.
3. Industrial-Grade Motherboard: Built with a self-developed industrial-grade Android RK3568 chipset to ensure reliable 24/7 operation.
4. Multi-Touch Support: Features an 8-inch LED screen with 10-point capacitive touch for smooth and intuitive user interaction.
5. Dust and Water Resistance: Industrial-grade design ensures dustproof and waterproof functionality, suitable for various environments.

Advantages:

1. High Efficiency: Utilizes advanced face recognition algorithms for quick access, improving operational efficiency.
2. Enhanced Security: Biometric recognition provides superior security, mitigating risks of password or fingerprint breaches.
3. Contactless Operation: Allows users to interact without physical contact, enhancing convenience and hygiene.

Application Scenarios:

• Smart Office: Facilitates self-service check-in, attendance management, and access control to boost workplace efficiency.
• Smart Security: Rapidly identifies suspicious individuals in crowded areas such as airports and stations, enhancing public safety.
• Unmanned Retail: Supports payment verification and customer flow analysis, optimizing shopping experiences.