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Self-Service Weighing Machine

Weighing, Automatic Pricing, Contactless Payment

Self-Service Weighing Machine refers to a new buffet model where diners serve themselves as desired, are charged by weight, and enjoy automatic settlement. This buffet line is composed of smart devices such as plate-binding machines, embedded/tabletop all-in-one units, and intelligent checkout counters. Using a weight-by-gram, pay-by-weight billing model, it enables nutrition analysis and health recommendations, providing consumers with a low-threshold, flexible self-service dining experience.

Product Functions

Nutrition Management, Science-Based Calculations

When a meal is picked up, the system instantly calculates six key nutritional metrics-including protein, fat, and carbohydrates-based on the current dish's weight, displaying results in real-time on the screen. By integrating with user health profiles, it automatically alerts users to dietary restrictions, provides personalized nutrition guidance, and generates a customized nutrition report after each meal.

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Stable Operation, Safety Assurance

Supports ultra-long uninterrupted stable operation with multi-layered security protections. The system has multiple security layers, including anti-tampering measures, anti-fraud detection, and real-time monitoring, ensuring stable operation and safety for users.

Offline Reliability, Anomaly Alerts

Intelligent voice alarm system covers all abnormal scenarios. Offline mode enables local storage of consumption data, automatically uploading to the management backend upon reconnection.

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Self-Service Weighing Machine

Self-Service Weighing Machine

Product Parameters

Overall Dimensions: 616*356*820mm

Weighing Platform Dimensions: 616*356*600mm

Antenna Dimensions: 600*320*50mm

Processor: Quad-core RK3568A, up to 2.0GHz

Storage: 2GB RAM (expandable), 16GB storage (expandable)

Operating System: Android 11.0

Display: 10.1-inch full-view capacitive touchscreen, 800*1280 resolution

Speakers: 8Ω*5W*2, supports high volume

Face Recognition Camera: 2MP dual-lens infrared camera

Face Recognition: Capacity >20,000 faces, Accuracy >99.9%, Recognition time <0.3s

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