Project Background: Smart Campus Canteen Upgrade
To build a modern, digitalized campus ecosystem, Suzhou Technician College partnered with FUNPAD to upgrade its student and staff cafeteria. By deploying the advanced FUNPAD V1 AI Food Recognition Kiosk, the college successfully transitioned from traditional manual cashiering to an intelligent, automated self-service checkout system.
The Challenges in Campus Dining
With thousands of students and faculty members rushing to the dining hall simultaneously during fixed break times, the college faced several critical challenges:
·Severe Peak-Hour Bottlenecks: Long checkout queues restricted students' actual dining and resting time.
·High Pressure on Cashiers: Manual pricing for diverse food trays led to high stress, pricing errors, and slower processing during rush hours.
·Data Fragmentation: Lack of real-time consumption data made it difficult for the kitchen to forecast food demand accurately, leading to waste.
The Solution: FUNPAD V1 AI Visual Checkout Kiosk
The FUNPAD V1 was introduced as the core smart catering hardware, delivering enterprise-grade performance tailored for high-volume educational institutions:
·Lightning-Fast AI Recognition: Powered by proprietary deep-learning computer vision, the V1 kiosk identifies multiple dishes on a student's tray within 0.5 seconds.
·Flexible Campus Payments: Seamlessly supports standard contactless payment methods, including student ID card integration (RFID), mobile QR codes, and secure facial recognition payments.
·Hygienic & Durable Design: Features an easy-to-sanitize touchscreen and a robust structure capable of enduring high-frequency use by energetic students.
Key Benefits & Results
·Optimized Student Traffic Flow: Slashed the average billing time to under 3 seconds per person, effectively eliminating long queues and enhancing the overall campus dining experience.
·100% Precision & Trust: Automated dish recognition guarantees zero manual billing mistakes, fostering trust between the student body and the catering department.
·Data-Driven Kitchen Management: Backend connectivity provides the college administration with real-time analytics on popular dishes, helping optimize meal prep and significantly reduce food waste.













