Abstract: A computer-implemented method includes obtaining data from one or more non-visual sensors and a camera from a first monitoring system. The data includes non-visual data from the non-visual sensors and visual data obtained from the camera. The non-visual data from the non-visual sensors are paired with corresponding visual data from the camera. Data points of the non-visual data are synchronized with frames of the visual data based on a likelihood of an event indicated in the non-visual data. The synchronized data points of the non-visual data with the frames of the visual data are provided as labeled input to a neural network to train the neural network to detect the event. The trained neural network is provided to one or more cameras corresponding to one or more additional monitoring systems to detect the event in the visual data obtained by the one or more cameras.