[资料] 机器人颜色识别跟踪模块(AVR视觉模块)完全开源
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 楼主 | 发布于 2017-12-02 | 只看楼主
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无意中发现老外的一个设计项目,AVRcam,基于ATMEGA8和OV6620图像识别,可识别指定颜色。特传到电路城来大家共享。

AVRcam硬件设计分析(英文):

        The AVRcam hardware has evolved several times since the project began in April of 2004. As can be seen in Figure 1, the hardware is very straight forward. An Atmel AVR mega8 provides the main processing needed by the system. The Omnivision OV6620 CMOS image sensor is connected directly to the mega8 to access important camera signals (pixel clock, horizontal and vertical sync, and, of course, the data busses). A new addition to the hardware is the AVR Tiny12, which is a small 8-pin microcontroller. This micro was added to the system to configure the OV6620 to output its clock signal on one of its pins. This clock signal is then used by the mega8 as its clock source. Having a single clock source shared between the mega8 and the OV6620 provides the necessary synchronization to allow the system to process the real-time stream of pixel data.

AVR颜色识别跟踪模块硬件设计框图:

AVRcam嵌入式软件设计分析(英文):

          The AVRcam embedded software is divided up into a set of classes that implement the functionality required. The main crux of the software revolves around the Camera Interface class, which implements the core functionality of interfacing to the OV6620. The Frame Manager utilizes the data gathered by the Camera Interface class to make frame-level calculations and decisions. A User-Interface Manager sits as a peer to the Frame Manager, and is responsible for processing incoming commands and generating the needed outgoing serial packets. Finally, a simple event-dispatching executive sits at the top of the system to facilitate the handling of the events that get generated in the system. The AVRcam class diagram is shown in Figure 2.

AVRcamVIEW PC 应用截图:


附件内容包括:

  • 整个AVRcam颜色识别跟踪模块原理图PDF档;
  • 基于基于ATMEGA8和OV6620图像识别控制源码;
  • AVRcamVIEW上位机源码;
  • 该AVRcam用户手册;

原文出处:http://www.jrobot.net/Projects/AVRcam.html





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回复于 2017-12-04 沙发

谢谢楼主分享,先收藏了。

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回复于 2017-12-05 2#

谢谢楼主分享,先收藏了。
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回复于 2017-12-06 3#

感谢分享
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回复于 2017-12-07 4#

不错,多谢分享~~
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回复于 2017-12-22 5#

STM8的OLED液晶屏实验 附代码
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回复于 2017-12-22 6#

谢谢分享
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回复于 2018-02-09 7#

谢谢分享

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回复于 2018-02-13 8#

学习。
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回复于 2018-09-01 9#

多谢楼主
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回复于 2018-12-26 10#

感谢分享!!需要机器人(工业,服务)的设计方案;自动化设备改造(螺丝机,点胶机等)以及个电子相关的新产品研发(微信调控暖手宝温度等)。
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