Abstract: Embodiments are disclosed for real-time copyfitting using a shape of a content area and input text. A content area and an input text for performing copyfitting using a trained classifier is received. A number of remaining characters in the content area is computed in real-time using the input, the computing performed in response to receiving additional input text, wherein computing, in real-time, the number of remaining characters in the content area using the input text includes generating, by the trained classifier, a set of weights including a first set of one or more weights for the input text and a second set of one or more weights for the content area. The first set of one or more weights, the second set of one or more weights, the input text, and the additional input text, and a copyfitting parameter indicating a number of additional characters to be fitted into the content area are determined based on the content area.

Abstract: In a parked vehicle, a head unit operating in low-power mode draws attention to a living being in a cabin of a parked vehicle. It does so by using a microphone to monitor said cabin for out-of-domain sounds, detecting a signal originating within said cabin, said signal being an acoustic signal that is representative of an out-of-domain sound, classifying said acoustic signal as being indicative of the existence of the living being within said cabin of said vehicle, and sending an alert to a first person.

Abstract: In a parked vehicle, a head unit operating in low-power mode draws attention to a living being in a cabin of a parked vehicle. It does so by using a microphone to monitor said cabin for out-of-domain sounds, detecting a signal originating within said cabin, said signal being an acoustic signal that is representative of an out-of-domain sound, classifying said acoustic signal as being indicative of the existence of the living being within said cabin of said vehicle, and sending an alert to a first person.