开发板实践：掌握应用树莓派（Raspberry Pi）这一低成本、高性能的微型计算机在人脸识别领域的应用。 软件开发实践：利用Qt这一跨平台的应用程序框架，开发用户友好、功能丰富的人脸识别签到系统交互界面。 图像处理能力：通过OpenCV这一开源的计算机视觉库，进行人脸识别模型训练，并基于该模型进行人脸预测，提高对图像处理和分析的理解和实践能力。 数据库操作：通过MySQL数据库来存在数据，掌握数据库的创建，SQL语句的编写，数据库的插入，更新与查询操作。 系统集成与测试：整合树莓派、Qt、OpenCV和MySQL，构建一个完整的人脸识别签到系统，并进行系统测试其功能性。
☆27Apr 21, 2024Updated last year
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