Abstract: According to an embodiment, a method for determining an orientation of an object in a field-of-view of a time-of-flight sensor is proposed. The method includes receiving a sensor readout from the time-of-flight sensor; feeding the sensor readout as an input to a neural network, the neural network trained on a set of data with a binary output that classifies the input as being valid or invalid based on the orientation of the object with respect to the time-of-flight sensor; rotating the sensor readout for a set number of rotations and feeding each rotation as an input to the neural network to determine a valid orientation of the object; and rotating an image on a display interface based on the rotation corresponding to the valid orientation of the object as determined by the neural network.