BIBORA
VISION AI
"AI powered self order kiosk that scan Nasi Campur, Nasi Kandar, Economy Rice"
"AI powered self order kiosk that scan Nasi Campur, Nasi Kandar, Economy Rice"
Why traditional checkout fails for Malaysian & Southeast Asian buffet-style dining.
Keeping cashiers just to estimate plate prices is expensive. Staff are better utilized preparing food and serving guests.
Manual plate inspection takes 15–30 seconds per customer, causing massive checkout queues during busy lunch hours.
No more manual tracking. The system auto-logs every sale into simple daily reports.
A fully automated visual self-checkout system trained on local culinary items with our dedicated Economy Rice & Chap Fan AI Scanner.
Explore the technology powering the fastest checkout experience in food service.
Scans are processed via high-speed, secure Cloud AI models. Allows continuous neural network updates, higher recognition accuracy, and zero local hardware maintenance overhead.
Distinguishes adjacent and stacked food items. Successfully trained to differentiate between rice portions, curry sauces, and solid proteins.
Track plate scans, popular dishes, specific food item frequency, and sales volumes in real-time from a secure central dashboard.
When the AI detects an unrecognised item or its confidence level drops below 80%, it automatically alerts nearby staff to verify the tray — ensuring zero billing errors and a reliable safety net.
Optional card terminal add-on supporting Visa, Mastercard, MyDebit, Apple Pay, and Google Pay. Standard DuitNow and e-wallet QR integration is built-in.
Optional external thermal receipt printer with automatic cutter. Print detailed, itemized tax invoices and payment receipts instantly.
Take a closer look at our hardware setups, user interfaces, and scanning technology.
Image Description
Here is how we get your self-checkout tray scanning kiosk deployed at your restaurant.
Capture 80-100 high-quality photos of your Nasi Campur dishes on a tray. The more photos provided, the higher the AI detection accuracy.
Download Example Guide On-site photography service available at costWe evaluate your dataset to generate an AI accuracy score and suggest if additional fine-tuning or image samples are needed.
Target Accuracy: >95%Define your hardware requirements. Specify number of kiosks, card terminals, receipt printers, and whether dual-way sync is required.
Multi-terminal sync supportOur engineers flash the kiosk hardware with your customized AI VLM profile, pack, deliver, and install the terminal at your restaurant.
Ready to scan in minutesFlexible hardware options and scalable subscription models designed to fit your restaurant business.
Accept debit & credit card payments seamlessly at checkout.
Thermal itemized tax receipt printing for customers.
Complete automation with real-time restaurant monitoring and virtual human-in-the-loop support.
Real-world deployments, engineering breakthroughs, and reflections straight from our field trials.
FEATURED STORY
With minimum wages transitioning toward RM2,000, learn how automated computer vision kiosks protect cafeteria margins while supercharging checkout throughput.
Reflections from the Glass Hall at Pulse Grand Hotel after pitching Bibora Vision AI at IIUM’s Entrepreneurship & Innovation Challenge.
Live trial at a school teachers' canteen achieving 82% recognition accuracy for complex multi-curry plates.
