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基于OpenMV的自助采摘园果篮目标识别系统研究

Research on Target Recognition System for Self Picking Orchard Fruit Basket Based on OpenMV

  • 摘要: 果篮目标检测是温室自助采摘旅游产业的关键技术之一。针对自助采摘园果篮目标检测技术,采用OpenMV图像处理器进行了果篮目标检测系统设计。首先,对摄像头进行初始化配置,设置合适的图像分辨率和采集帧率,进行图像预处理以提高信噪比;其次,采用颜色目标追踪函数实现色块目标的检测,并利用目标特征分析算法实现非果篮目标的过滤;最后,根据检测结果完成IO口信号的控制。通过试验证明,所采用的方法能有效实现温室自助采摘中的果篮目标检测。

     

    Abstract: Fruit basket target detection is one of the key technologies in greenhouse self-help picking tourism industry. Aiming at the target detection technology of fruit basket in self-picking garden, the target detection system of fruit basket is designed by using OpenMV image processor. Firstly, the initial configuration of the camera is carried out, the appropriate image resolution and frame rate are set, and the image is preprocessed to improve the SNR. Secondly, the color target tracking function is used to detect the color block target, and the feature analysis algorithm is used to filter the non-fruit basket target. Finally, the IO port signal is controlled according to the test result. Through experiments, the method adopted can effectively realize the target detection of fruit basket in greenhouse self-picking.

     

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