Increasing performance of image processing algorithms by computing during reception

Optimization of the system performance is one of the main tasks facing the developer. It may consist of the use of efficient algorithms or more suitable hardware. However, another approach for increasing productivity exists. In this paper, we present a method that enables effective data processing during image reception. The main idea of the proposed algorithm is to minimize system response time by using idle resources. We also determine the limitations of the method application and describe the tasks in which it can be applied. To evaluate the consistency of the proposed approach, we develop an algorithm for a line following vehicle. A comparison of the presented method and the image processing after reception shows a significant reduction in response time and the amount of memory required.