This article explains the architecture of shared‑bike smart locks, covering embedded chips, power generation, QR‑code unlocking, payment integration, Bluetooth communication, GPS positioning, and the role of IoT technologies such as 2G, Bluetooth and NB‑IoT in enabling reliable bike sharing services.
This article outlines the various payment channels—In‑App Purchase, third‑party, H5, and mini‑program—across iOS, Android, and WeChat environments, detailing their flow diagrams, required API interactions, code examples, and best‑practice recommendations to help developers implement seamless mobile payments.
The article reports on recent patent infringement lawsuits concerning the widely used mobile QR‑code scanning technology, highlighting cases against Alipay and WeChat Pay, the background of the patented method, and the broader implications for smartphone manufacturers and app developers.
The article analyzes the rise of unmanned solutions such as supermarkets, fitness pods, and toy cars, explaining how mobile payment, IoT, and AI enable them, while examining the shifting cost structure, operational benefits, and challenges of this emerging business model.
This article examines how NetEase Pay’s product positioning shapes its design system, analyzes competing payment apps, outlines key visual keywords, and showcases iterative UI solutions—including icon unification and card‑based game branding—to create a cohesive, user‑friendly mobile payment experience.
This article explains how to apply for WeChat Pay, obtain required credentials, and integrate the payment flow—including unified order, signed parameter generation, client SDK invocation, and asynchronous result handling—on both Android and iOS platforms using PHP examples.
This article describes a project that enhances an open‑source card‑number scanning solution to recognize 19‑digit Chinese debit cards, addressing challenges such as black‑printed fonts, light‑colored embossed fonts, background filtering, single‑character OCR, and Luhn‑based checksum verification.
This article describes a mobile payment‑focused bank card OCR project that extends an open‑source solution to support Chinese 19‑digit debit cards by introducing new algorithms for vertical coordinate detection, background filtering, single‑character recognition, and Luhn‑based checksum validation.
