Monday to Friday 9:00 - 18:00
Official account of Wechat
Official account of Wechat
Through the "terminal intelligence + cloud collaboration + data-driven" architecture, the large-scale implementation of face-brushing payment in vending machine scenarios is realized, taking into account efficiency, security and commercial value. It is suitable for high-traffic scenarios such as transportation hubs, campuses, and business districts. Promote the upgrade of the retail industry from "passive services" to "intelligent perception".
Vending machine face-brushing payment solution
 
vending cabinet
brush face payment
Project 
Background
Considering the diversification of payment systems and the popularity of mobile payments, it is necessary to support scanning code, NFC, and even Face Recognition. This part requires security and stability to avoid transaction failure or information leakage. Want to use sales data to optimize SKUs, adjust pricing strategies, or conduct promotional activities. Through personalized recommendations, interactive screens, and membership systems, user satisfaction and stickiness can be improved. Integrate advertising systems to increase additional revenue. Secure data encryption and device protection to prevent hacker attacks or physical damage. Use SSL/TLS to encrypt data transmission and install anti-vandalism sensors on the device side.
Requirement
Vending machine face-brushing payment solution
The solution is connected to the face brushing recognition camera through the 4G industrial IoT gateway to realize real-time collection and processing of facial image information, high-definition image data extraction and uploading to the cloud face database for comparison, real-time feedback of facial data processing information, and control AI vending machine door lock switch, settlement and deduction.
Automated vending solutions
program introduction
application scenarios
Sales and payment scenario 1
Sales and payment scenarios