Smart retail stores started to take place in our lives. Several computer vision and sensor-based systems are working together to achieve such a complex and automated operation. Besides, the retail sector has several open and challenging problems which can be solved by embedded computer vision systems. One important problem to be tackled is shelf control or stock out detection. Here, shelves in a store should be controlled regularly such that no item is missing in the shelf. In this study, we propose an embedded computer vision system to solve this problem. To do so, we frame the shelf control operation as change detection. Due to the constraints posed by the retail sector, we formed the system by an ultra-low or low power microcontroller with an embedded camera attached to it. We provided all the implementation details of the system both from software and hardware perspectives. We also tested the proposed shelf control system from different perspectives. Hence, the reader can form such a system for retail sector or for a broad class of change detection problems in which stand-alone embedded system usage is mandatory.

智能零售店开始出现在我们的生活中。几个基于计算机视觉和传感器的系统正在协同工作以实现如此复杂和自动化的操作。此外，零售业有几个开放且具有挑战性的问题，可以通过嵌入式计算机视觉系统来解决。要解决的一个重要问题是货架控制或缺货检测。在这里，应定期控制商店中的货架，以确保货架上不缺少任何物品。在这项研究中，我们提出了一种嵌入式计算机视觉系统来解决这个问题。为此，我们将货架控制操作定义为变更检测。由于零售行业的限制，我们通过连接嵌入式摄像头的超低或低功耗微控制器构成系统。我们从软件和硬件的角度提供了系统的所有实现细节。我们还从不同的角度测试了所提出的货架控制系统。因此，读者可以为零售部门或一大类变化检测问题构建这样的系统，在这些问题中，必须使用独立的嵌入式系统。