Abstract: A method for cargo counting, a computer equipment, and a storage medium are provided in the disclosure. The method includes the following. Three-dimensional (3D) point cloud data of a set of cargoes within a preset placement region is obtained based on a cargo-counting instruction. Whether the set of cargoes are in a first placement state is determined according to the 3D point cloud data. Based on a determination that the set of cargoes are in the first placement state, a quantity of the set of cargoes is calculated.

Abstract: An intelligent visual inquiry method and system, the method comprising: a service provider preparing pre-set questions and recording answers in videos, uploading the pre-set questions and answer videos to a cloud server, and setting keywords for the pre-set questions; the inquiry device receiving an audio question of a user asking questions and uploading the audio question to an Internet cloud server; the cloud server carrying out voice recognition and semantic analysis on the audio question, and determining whether there is a matching question in a question library; if there is a question successfully matching same in the question library, sending the answer video to an inquiry device, and the inquiry device playing same; and if there is no question successfully matching same in the question library, storing the question in an unanswered area of the cloud server, and sending matching failure information to the inquiry device, and the inquiry device playing a pre-set video that cannot be understood.

Abstract: Biological data, such as human heart rate data, is acquired and processed in a non-linear manner to facilitate an assessment of the physiological state of the subject, and/or to assist in predicting incipient disorders or instability. Determinism, laminarity and recurrence measures are derived for a rolling sample of a time series of said data. The recurrence measure can be the Euclidean threshold (?thresh) at a given recurrence rate. A representation, such a colour coded matrix or multi-dimensional vector, is formed from a combination of the derived determinism, laminarity and recurrence measures. The representation can then be analysed to detect indicators of physiological instability, such as arrhythmia, or to discriminate between arrhythmias. The analysis may be performed visually, or in an automated manner in real time, such as in an ambulatory or implanted device, or post hoc by a bedside monitor.