Android system-based multi-thread code scanning processing method for code scanning head module

Abstract

The invention relates to the technical field of electronic information communication, in particular to an Android system-based multi-thread code scanning processing method for a code scanning head module, which comprises an application processor, a sighting lamp, an image sensor and a light supplementing lamp, wherein the code scanning head module is driven by the application processor and the image sensor; the sighting lamp and the light supplementing lamp are controlled through the application processor and the image sensor, and the application processor is used for receiving image data output by the image sensor through multi-thread processing. According to the invention, multi-thread code scanning processing of the image sensor is achieved through the application processor, the decoding efficiency of the code scanning head module is improved, the built-in application processor of the Android system replaces a controller in the code scanning head module, the cost is reduced, and theoperation efficiency is higher; the performance is fully utilized, and the use is convenient.

Description

technical field [0001] The invention relates to the technical field of electronic information communication, in particular to a multi-thread code scanning processing method based on the Android system. Background technique [0002] With the vigorous development of my country's logistics industry, smart PDAs that support one-dimensional and two-dimensional code scanning functions have been more and more widely used in express logistics both inside and outside the field. [0003] Most of the existing smart PDAs integrate dock scanning modules from manufacturers such as Zebra, Honeywell, and Newland. However, dock scanner manufacturers consider more compatibility with different platforms, so they have to add an MCU to the dock for front-end control. , resulting in an increase in cost. And because the Android system is complex, the algorithm library is often integrated into the JNI layer for compatibility, resulting in a significant drop in the execution efficiency of the algor...

AI Technical Summary

Problems solved by technology

[0003] Most of the existing smart PDAs integrate dock scanning modules from manufacturers such as Zebra, Honeywell, and Newland. However, dock scanner manufacturers consider more compatibility with different platforms, so they have to add an MCU to the dock for front-end control. , resulting in an increase in the cost of

And because the Android system is complex, the algorithm library is often integrated into the JNI layer for compatibility, resulting in a significant drop in the execution efficiency of the algorithm library

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