Abstract: Technologies pertaining to computing depth images of a scene that includes a mobile object based upon the principle of light falloff are described herein. An infrared image of a scene that includes a mobile object is captured, wherein the infrared image has a plurality of pixels having a respective plurality of intensity values. A depth image for the scene is computed based at least in part upon square roots of respective intensity values in the infrared image.

Abstract: A network audio system includes a housing for the speaker, a radio frequency identification (“RFID”) reader in or attached to said housing for detecting and reading one or more electronic tags in an external chip, a network adapter in or attached to said housing for downloading one or more audio files according to said electronic tags via a network, and an audio play module in or attached to said housing for decoding and playing said one or more audio files. This new type of network audio system controls the play of audio files by using an RFID reader and an external chip such as a RFID card or NFC card. It is easy to control and less susceptible to damages than existing networked speaker systems. It provides a new dimension to control network speakers without using any smartphone or tablet, this is helpful for children or senior people.

Abstract: Technologies pertaining to computing depth images of a scene that includes a mobile object based upon the principle of light falloff are described herein. An infrared image of a scene that includes a mobile object is captured, wherein the infrared image has a plurality of pixels having a respective plurality of intensity values. A depth image for the scene is computed based at least in part upon square roots of respective intensity values in the infrared image.