Face Recognition Consumption Machine, Access Control Machine, Face Swiping Meal Vending Machine

The new facial recognition consumption all-in-one machine utilizes high-definition wide dynamic dual cameras combined with precise facial recognition algorithms for identity verification. It offers advantages such as fast recognition speed, high accuracy, contactless operation, anti-fraud protection, no wear and tear, and excellent system scalability, making it suitable for consumption management in various scenarios. It is an ideal choice for schools, enterprises, and institutions to improve management levels and achieve intelligent operations.

Features:

Equipped with dual cameras supporting liveness detection

Features dual 7-inch IPS full-view high-definition displays with no image ghosting or latency

Supports multiple recognition methods including card swiping, QR code scanning, and facial recognition

Standard Wi-Fi module enables wireless communication, eliminating the need for traditional wiring

Uses a mechanical keyboard for longer lifespan and more comfortable tactile feedback

Mean Time Between Failures (MTBF) > 40,000 hours

Built-in 2000mAh battery supports operation for over 2 hours during power outages

Employs advanced facial recognition technology for accurate identification, with an average recognition time of less than 0.5 seconds

Supports multiple payment methods including card swiping, QR codes, and facial recognition

Rich graphic and text display with voice prompts during transactions and visible consumption information

Supports free switching between various consumption modes

Enables direct internet access for platform-based device deployment, facilitating payment systems in wide-area environments

Device Specifications:

Model: YG-RL90

Processor: RK-3568

Operating System: Android 11

Storage: 2GB + 16GB

Camera: Dual cameras with visible light and near-infrared support, enabling liveness detection

Display: Main screen: 7-inch IPS screen + touch; Secondary screen: 7-inch IPS screen

Recognition Methods: Facial recognition, QR code recognition, CPU card, M1 card

Facial Recognition Accuracy: ≥99%

Facial Recognition Distance: 20–80 cm

Fill Light: LED fill light

Input Method: 19-key mechanical keyboard

Battery Capacity: 2000mAh

Communication Methods: Supports TCP communication, Wi-Fi communication, and 4G communication (optional)

Power Supply: DC 12V/2A

Power Consumption: 20W MAX

Operating Environment: Temperature: -10°C to 50°C; Humidity: ≤90% non-condensing

Device Dimensions: 280 (L) × 145 (H) × 60 (W) mm

Web-Based Configuration: Supported