Abstract: In a method (30) for obtaining information (18a, b) about a potential object (8a, b) in a camera image (10) of a scene (2), A) the camera image (10) is provided as a single 2D camera image, B) potential objects (8a, b) are detected in the camera image (10), C) a frame projection (14a, b) of a 3D frame (16) directly surrounding the object (8a, b) into the camera image (10) is determined for at least one of the detected objects (8a, b) as at least part of the information (18a, b), wherein steps B) and C) are each performed with the aid of a neural network (32).

Abstract: The invention relates to a machine learning system (10) which is configured, on the basis of a plurality of images captured in succession, to detect smoke (12) within the images. The machine learning system (10) comprises a convolutional recurrent neural network. The invention also relates to a method for detecting smoke by means of this machine learning system.