In the process of digital China, the changes to people’s travelling life from the mobile Internet has went deep into the public transportation field.
To use the QR code, you need to open the scan code page first, and you need to use the network to open the scan code page. Cardlan code card reader adopts the dual offline mode. After opening the scan code page, the system can be used without a network. The system generates 16 codes at a time. Each code is valid for 1 minute and continues offline for 16 minutes, which is longer enough for the user to take bus. The bus card reader does not need to use the network when scanning the code.
When using the QR code to pay for the bus fare, you don't need to install any other hardware or software. As long as the phone has data, electricity, and money in the card, it is OK. As long as it’s smart phone, you can take bus by scanning code. And most importantly, the current scanning code payment is the most popular, and many county towns support the scanning code payment by bus.
The Cardlan QR code can be used by many people, but since one passenger code can only support one ride, the ticket for the companion needs to manually click the QR code to refresh.
The Cardlan Market Department believes that the newly developed bus scan code card machine can receive the market recognition in such a short period of time because of the QR code ride service: First, using the QR code is quite popular among people and has a wide range of applications; Secondly, the huge traffic entrance hidden in public transportation has become a must for the giants. Scan code payment has a huge ecosystem.
Compared with the traditional passenger card, the QR code ride has a relatively obvious advantage in the field of public transportation, its process is not the shortest, but it must be the most popular at present. Based on this, Cardlan Technology gradually use other new technologies. Technology is constantly evolving, so the QR code wont be the final technology path. The only solution to all technology is to identify you. Cardlan believes that better face recognition technology may be applied in the near future.
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