Dual sensing receptacles

What is this patent about?

’692 is related to the field of automated receptacle assemblies, specifically trashcans equipped with power-operated lids and proximity sensors. In the context of smart home hardware, these devices must balance responsiveness with power efficiency, ensuring the lid opens promptly for a user while avoiding battery drain caused by false triggers from stationary furniture or passersby.

The underlying idea behind ’692 is an adaptive calibration logic that allows the trashcan to distinguish between a user intending to discard trash and a permanent change in the surrounding environment. By treating the sensor data as a dynamic baseline rather than a fixed trigger point, the system can recognize when a new stationary object—such as a chair or a wall—has been placed within its sensing field and automatically recalibrate its sensitivity to ignore that object.

The claims of ’692 focus on a sensor assembly and processor programmed to perform a substantially continuous scan of the environment to maintain a present state of the sensing region. The independent claims specifically protect the mechanism of an automated calibration mode that determines environmental stability based on proximity measurements and adjusts the activation threshold relative to a stored calibrated value to prevent unintended lid actuation.

In practice, the invention utilizes a controller that monitors the variance of sensor signals over time to establish a stability threshold. If the environment is deemed stable but the signal intensity has changed—indicating a static obstruction—the software normalizes the sensing threshold to this new baseline. This ensures that the lid only triggers when a new, non-stationary object provides a signal that exceeds this adjusted environmental floor.

This approach differs from prior solutions that relied on fixed-range sensors, which often required manual resetting or suffered from constant 'ghost' openings when placed in tight spaces. By integrating dual sensing regions—one directed upward for hand waves and one outward for approaching users—and pairing them with self-correcting software, the system maintains high sensitivity for actual use while effectively filtering out the static background of a room.