Touch-screen monitor for restaurant ordering screen

    Core direction: Hardware upgrade + AI edge intelligence + non-intrusive payment + cloud ecosystem loop + green modularization, upgrading from transaction terminals to the intelligent core of the store.

1. Hardware Technology: More durable, higher resolution, more integrated

• Screen material and display: Capacitive screens dominate (2025 penetration rate > 85%), nanosilver lines/metal grids replace ITO, reducing costs and increasing light transmittance; High brightness anti-glare + high contrast + narrow bezels become standard features, improving visibility in outdoor/strong light environments; 10-point touch + gesture operation, response time < 10ms, mis-touch rate < 0.5%.

• Innovative form factor: Dual-screen/foldable screen adoption (operator + customer-side advertisements/confirmation); Modular design (replaceable screens, motherboards, interfaces), quick repair, long lifespan, less electronic waste; Lightweight, low power consumption, the energy consumption of all-in-one machines is reduced to 70% of traditional models.

• Interface integration: NFC/QR code/face recognition/uwb near-field payment is embedded; the screen serves as the payment terminal; it can also be seamlessly connected with external weighing devices, kitchen printing equipment, and food delivery platforms

II. Interactive Experience: Unfeeling, Intelligent, Personalized

    Multilingualism and Accessibility: Automatically detects the user's language and enables real-time switching between menus and checkout pages; supports voice interaction and large-font mode, catering to customers of all ages and disabilities.

III. Market and Applications: Deepening, Specialization, and Scenario-Based

•  Customized Scenarios: Self-service ordering machines for fast food/milk tea shops (self-service rate > 80%); Mobile POS + table-side ordering for high-end restaurants; Facial recognition + non-intrusive payment terminals for campus/industrial park canteens.

Implementation Suggestions (Priority Actions in 2026)

Selection: Preferably modular capacitive touchscreen dual-screen integrated machine, supporting NFC/face recognition, SaaS cloud backend, and API openness.

•  Upgrade: Replace outdated equipment in phases. Start with pilot projects in peak-performing stores, then expand to all chain stores; simultaneously train employees and optimize back-end processes.

•  Data Utilization: Connect to the store management system, use AI to analyze data, adjust the menu, shift schedules, and implement promotional strategies, thereby enhancing efficiency and increasing revenue.