AI Glasses used in restaurant service

　　I. Core Design Principles (Based on Restaurant Service Needs)

　　Durability & Food-Service Environment Adaptation

　　Oil & stain resistance: IP65 waterproof/oilproof rating to withstand food splatters (e.g., sauce, grease) and frequent wiping; uses anti-stick silicone-coated frames and scratch-resistant polycarbonate lenses (easy to clean with disinfectant wipes)

　　Impact & heat tolerance: Shock-absorbing temple tips (meets MIL-STD-810H drop test for 1.2m falls) and heat-resistant lens coating (safe for use near hot food stations, up to 60℃)

　　Hygiene compliance: Food-grade materials (FDA-approved) for frame components; detachable, dishwasher-safe temple covers (reduces cross-contamination between shifts)

　　Efficient Order Management & Workflow Sync

　　Hands-free order capture: Supports noise-canceling voice commands (e.g., "Table 5: 2 steak medium-rare, 1 Caesar salad") and gesture recognition (air-tapping to confirm items) — avoids manual note-taking and reduces order errors (≤2% error rate vs. paper/tablet orders)

　　Real-time backend sync: Automatically sends orders to kitchen display systems (KDS) and POS terminals (e.g., Toast, Square) within 1.5s; shows order status updates (e.g., "Table 3 order: 5 mins to serve") via AR overlay

　　Table & order tracking: Displays table layout (with occupied/empty status) and order details (e.g., "Table 7: dietary restriction—gluten-free") on AR view, eliminating need for physical order tickets

　　Customer Experience Enhancement

　　Personalized service support:

　　Dietary filtering: Identifies allergens (e.g., nuts, dairy) and dietary preferences (vegan, keto) when taking orders, alerting staff and suggesting alternatives (e.g., "Table 2: Vegan option for pasta—replace cream with olive oil")

　　Menu knowledge aid: AR overlay shows ingredient details (e.g., "Salmon: sourced from Alaska") and pairing recommendations (e.g., "Pinot Noir pairs with steak") when staff focuses on menu items

　　Multi-language communication: Supports 12+ languages for order taking (e.g., "Translate ‘spicy level 3’ to Spanish") and guest inquiries, with real-time audio/AR text translation to reduce language barriers

　　Shift-Long 续航 & Practical Usability

　　Extended battery life: 12+ hours of continuous use (matches typical restaurant shifts) with 30-minute fast charging (60% power = 7 hours use); compatible with USB-C wall chargers and portable power banks (for mid-shift top-ups)

　　Lightweight & comfortable design: Weighs <40g to avoid neck strain during 8+ hour wears; adjustable nose pads and temple lengths (fits all staff sizes) — compatible with hairnets/chef hats for kitchen staff

　　Low-distraction display: Projects order/table info onto the upper peripheral field of view (≤8% visual area) to keep staff’s focus on guests, not the device

　　II. Recommended Product Types and Use Cases

　　1. Quick-Service Restaurant (QSR) AI Glasses (For Fast-Food Chains)

　　Key Features: Rapid order capture (≤3s per item), drive-thru optimized voice control (resists background noise from cars), and order pickup alerts (e.g., "Order 123 ready for pickup"); supports combo meal shortcuts (e.g., "Big Burger Meal—medium")

　　Operation: Voice commands (e.g., "Table 10: 1 chicken sandwich, no pickles") + one-tap order confirmation; AR shows drive-thru lane status (e.g., "2 cars waiting")

　　Ideal Scenarios: Fast-food chains (e.g., burger, pizza spots), coffee shops, and casual takeout spots with high order volume

　　Technical Support: Syncs with QSR POS systems (e.g., McDonald’s POS, Starbucks Square) and KDS; battery lasts 14+ hours (covers morning-to-evening shifts); oil-resistant lens coating (for fryer area staff)

　　2. Fine Dining Service AI Glasses (For High-End Restaurants)

　　Key Features: Menu detail overlay (e.g., wine vintage, chef’s specials), guest preference memory (e.g., "Mr. Lee: prefers dry red wine"), and course timing alerts (e.g., "Serve appetizers to Table 4 now"); supports wine pairing AR guides (e.g., 3D wine bottle labels with tasting notes)

　　Operation: Eye tracking (focuses on menu items to pull up details) + quiet voice commands (low volume to avoid disrupting ambiance); AR shows guest arrival history (e.g., "Last visited: 3 months ago—ordered truffle pasta")

　　Ideal Scenarios: Michelin-starred restaurants, steakhouses, and upscale bistros with table service

　　Technical Support: Integrates with fine dining POS (e.g., OpenTable, Resy) for reservation sync; low-light AR display (adjusts to dim dining rooms); encrypted guest preference storage (GDPR/CCPA compliant)

　　3. Buffet & Cafeteria 巡检 AI Glasses (For Self-Service Venues)

　　Key Features: Food station stock alerts (e.g., "Salad bar: lettuce low—needs refill"), temperature monitoring reminders (e.g., "Hot soup: check temp now"), and guest assistance prompts (e.g., "Table 15 needs extra utensils")

　　Operation: Walk-through 巡检 mode (auto-detects empty food pans via camera) + voice logging (e.g., "Sushi station refilled at 13:45"); AR marks priority tasks (e.g., "Urgent: dessert station low on forks")

　　Ideal Scenarios: Hotel buffets, corporate cafeterias, and university dining halls

　　Technical Support: Connects to inventory management systems (e.g., Toast Inventory) for stock tracking; IP67 waterproof rating (for use near beverage stations); solar charging option (1hr sunlight = 2hr extra use for daytime shifts)

　　III. Selection Criteria & Optimization Tips

　　Prioritize Durability & Workflow Compatibility

　　Avoid overfocusing on non-service features (e.g., 4K video) — prioritize oilproof rating (minimum IP65), order sync speed (<2s to KDS), and compatibility with your restaurant’s POS/KDS (e.g., confirm integration with Toast before purchasing)

　　Test in real service conditions: Verify if the glasses resist sauce splatters and are easy to clean between tables; check if voice control works in noisy QSRs or quiet fine dining rooms

　　Validate Customer-Centric Features

　　For dietary compliance: Choose models with accurate allergen detection (≥95% accuracy) and alternative suggestions (not just alerts)

　　For multi-language needs: Ensure translation supports the languages of your guest base (e.g., Spanish/Chinese for tourist-heavy areas)

　　For fine dining: Opt for low-light AR displays (no glare in dim rooms) and guest preference memory (avoids asking repeat guests for preferences)

　　Optimize for Staff Efficiency

　　Customize order shortcuts: Set 1-word commands for top-selling items (e.g., "Steak" = "Steak medium-rare, side fries") to reduce order time

　　Simplify training: Select models with intuitive interfaces (≤10 mins of staff training) — avoid complex settings that slow down service

　　Manage battery for shifts: Use "shift mode" (disables non-essential features like guest history) to extend battery; place fast chargers in staff break rooms for mid-shift top-ups

　　Ensure Hygiene & Data Security

　　Check hygiene compliance: Confirm frame materials are food-safe and easy to disinfect (avoid porous materials that trap grease)

　　Protect guest data: Choose models with local storage for guest preferences (no mandatory cloud upload) and clear data retention policies (auto-delete unused guest data after 3 months)

　　Staff access control: Set role-based permissions (e.g., servers can’t access inventory data; managers can view sales reports) to prevent data misuse