The situation is considered that the state of a system is determined by a random process, and one wants to discriminate between two states on the basis of a number of consecutive process observations. For different situations alarm sets are given which are optimal in the sense of the Neyman-Pearson lemma. In order to measure the goodness of performance of a surveillance policy certain error rates and utilities are introduced.