System and method for substantially synchronizing sound and smoke in a model vehicle
AssigneeLionel L.L.C.
InventorsJon F. Zahornacky, Steven Edward Ziemba, Neil P. Young, Bruce R. Koball
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AssigneeLionel L.L.C.
InventorsJon F. Zahornacky, Steven Edward Ziemba, Neil P. Young, Bruce R. Koball
Estimating the term…
A system and method is provided for substantially synchronizing sound and smoke, or the like, in a model train or other model vehicle. In one embodiment of the present invention, a sensor is configured to send a signal periodically to a smoke generating device and a controller, wherein the signal is used by the smoke generating device to produce a particular quantity of smoke. The controller is then configured to receive a signal from a motor, wherein the signal includes information (e.g., a count) that can be used to identify a rotational position of the motor, or a rotational position of an axle in communication with the motor. The controller then uses the signal from the sensor and the signal from the motor to estimate (or predict) a transmission time of a next (or second) signal from the sensor, wherein the next (or second) signal is used by the smoke generating device to produce a next (or second) production of smoke. In one embodiment of the present invention, the controller does this by (i) using the signal from the sensor to identify a first count from the motor, and (ii) using the first count from the motor (e.g., together with “chuffs” per revolution) to identify a second count from the motor, wherein the second count corresponds to a transmission time of a next (or second) signal from the sensor. The controller then uses the “estimated time” to transmit a signal to the sound generating device, wherein the signal is used by the sound generating device to produce a “chuffing” sound that is substantially synchronized to a next (or second) production of smoke.
A model vehicle system, comprising:
A method for substantially synchronizing sound and smoke in a model vehicle, comprising:
A model train system, comprising:
Dependencies are inferred from the claim text.