Abstract: A tool for probing a machine learning pipeline, wherein each pipeline stage performs a respective mapping of a respective input state to a respective output state, and each but the last provides its output state on to the input state to a respective successive stage in the pipeline. At least one pipeline stage has one or more adjustable parameters which affect the respective mapping. The tool comprises: a data interface for reading probed pipeline data from the pipeline, the probed data comprising at least some of the output state of at least one pipeline stage; and a user interface module configured to present information on the probed pipeline data to a user through a user interface, and to provide at least one user interface control enabling the user to adjust one or more parameters of at least one of the stages in the pipeline based on the presented information.

Abstract: According to a first aspect, there is provided a computer-implemented method of controlling a user interface to selectively communicate perception results to a user, the method comprising: in response to an update instruction, using a current confidence level of each perception result of a set of perception results to determine whether or not to communicate that perception result at the user interface. The perception results are determined by processing sensor signals from a sensor system using at least one perception algorithm. At least one of the perception results is communicated at the user interface together with at least one piece of contextual information, without communicating the current confidence level that caused the perception result to be outputted, the current confidence level having been at least partially derived from the piece of contextual information.

Abstract: There is provided a computer implemented method of extracting information about a person. Incoming sensor signals for monitoring people within a field of view of a sensor system are received and processed. In response to detecting a person located within a notification region, an output device outputs a notification to the detected person. Processing of the incoming sensor signals continues in order to monitor behaviour patterns of the person and determine from his behaviour patterns whether he is currently in a consenting or non-consenting state. An extraction function attempts to extract information about the person irrespective of his determined state. A sharing function determines whether or not to share an extracted piece of information about the person with a receiving entity in accordance with his determined state, the information not being shared unless and until it is subsequently determined that the person is in the consenting state.