Industrial Automatic Control Systems and Controllers Annotation << Back Monitoring Dimensions, Weighs and Live Weight of Fry in Pool Shevchuk V.P., Titov R.N. A structural model of an automated workplace (AWP) of a fi sh breeder is proposed. The algorithm for the functioning of the automated control system is based on a video monitoring system for the repair and breeding stock of sturgeon fi sh. The automated control system consists of a knowledge base, an experimental data base, a software module for managing an experimental data base, a module for intelligent analysis of experimental data, a module for predicting decision-making and a document management module. An algorithm for monitoring the length, weight and live weight of the fry in the pool by processing freeze frames from a video camera is proposed. The algorithm is based on measuring the coordinates of the reference points and the values of the offset of the reference points from the pixel centers. An algorithm is proposed to evaluate the methodological dynamic component of the relative error in measuring the fry size from time quantization. The algorithm parameters are the calibration coeffi cient of the video camera, the time between two adjacent examples, and the growth rate of the fry. An algorithm for predicting the growth of a medium-sized fry at the time of the following example is proposed, which makes it possible to predict the amount of feed and the optimal time for the next feeding. Keywords: automated workplace, video monitoring system, knowledge base, experimental data base, relative measurement error, monitoring quality forecast. DOI: 10.25791/asu.10.2024.1533 Pp. 03-10.