Computer vision systems are increasingly used in industry for inspection or process control. The more demanding requirements observed today make the implementation of this type of systems a technological challenge. Many of the computational architectures available allow us to meet the main functional requirements related to the use case and also the non-functional ones, such as processing time restrictions and connectivity. However, the requirement for adaptability so that such systems can be easily modified to meet different use cases or even accommodate environmental changes remains a challenge. This work proposes a flexible architecture for computer vision systems using FPGA. This architecture combines components of the processing flow of the vision system implemented in hardware and software to obtain advantages associated with both approaches. The proposed solution is validated against different real use cases existing in the industry. The results obtained allow us to affirm that such architecture brings an interesting advantages since it meets the operational requirements present in industrial applications, demands less development effort and can be easily adapted to new usage scenarios.

中文翻译：

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用于在 FPGA 中开发计算机视觉系统的适应性架构


计算机视觉系统越来越多地在工业中用于检查或过程控制。如今，越来越严格的要求使得此类系统的实施成为一项技术挑战。许多可用的计算架构使我们能够满足与用例相关的主要功能需求以及非功能需求，例如处理时间限制和连接性。然而，对适应性的要求使得此类系统可以轻松修改以满足不同的用例甚至适应环境变化仍然是一个挑战。这项工作提出了一种使用 FPGA 的计算机视觉系统的灵活架构。该架构结合了以硬件和软件实现的视觉系统处理流程的组件，以获得与这两种方法相关的优点。所提出的解决方案针对行业中存在的不同实际用例进行了验证。获得的结果使我们确信这种​​架构带来了有趣的优势，因为它满足工业应用中存在的操作要求，需要较少的开发工作并且可以轻松适应新的使用场景。