A wireless interface for detecting an authorized access of a user to a keyless access system of a transportation vehicle. The part of the wireless interface provided for the wireless communication is detachably connected to the part of the wireless interface containing the electronics to improve the diversity of installation and mounting of the wireless interface.

Disclosed is a system that uses a window as a microphone as a replacement for keyless entry to a vehicle. The system includes a window which acts as a microphone using a piezoelectric transducer that captures resonance on an outside surface of the vehicle window when pressure waves (e.g., voice commands or taps) impact it. To recognize this sound, a transducer controller amplifies vibrations from the window tap or spoken commands. The system may include a low-power mode that listens for input while the vehicle is off. In a second, high-power mode, the system may detect a tapping event, which may prompt a transition to a wake-up state. The system may associate a number and timing of taps with unique user keys, similar to key selections of numbers on a keypad. The system may also recognize verbal PIN code input using the piezoelectric transducer microphone.

Methods and systems for validating intent to actuate an electronic lock are provided, using comparative gesture processing. One method includes obtaining motion signals representative of physical motion of the mobile device detected by a motion sensor of the mobile device and at an electronic lock. The method includes performing a similarity correlation between the first motion signals and the second motion signals, and, based on the similarity correlation determining that the first motion signals and second motion signals are correlated. Based on the correlation and authentication, the wireless electronic lockset is actuated.

A knock detection device includes a proximity sensor, at least one sound sensor, and a signal processing unit. The proximity sensor and the sound sensor are respectively electrically connected to the signal processing unit. The signal processing unit receives and/or processes the signal of the sound sensor according to the signal of the proximity sensor. A household appliance includes the knock detection device. The knock detection device is disposed inside the household appliance on the back side of a panel provided for knocking by a user.

It is provided a sensor device comprising: a proximity sensor; a processor; a wireless communication module; and a memory. The memory stores instructions that, when executed by the processor, cause the sensor device to: receive a user input signal; determine when the received user input signal matches a signal template being associated with an event; store in the Receive input signal memory a record indicating an occurrence of the event associated with the user input signal; and transmit, once the wireless communication module is active, no any stored records.

A pattern recognition locking system and method is operable to lock and unlock an object through a sequence of knocks, rotations, and ambient vibrations that are measured by an accelerometer as acceleration, and a gyroscope as orientation. The sequence and intensity of vibrations and intensity are processed by a microcontroller that utilizes a pattern recognition algorithm to: recognize the intensity and sequence of acceleration and orientation; identify the most intense motion from the degrees of freedom; and, after identifying a sequence of the most intense motions for respective degree of freedom, the microcontroller transmits a signal to lock mechanism to lock or unlock an object if sequence of degrees of motion match a stored passcode. A sleep module powers off the system when no motion or vibrations detected. A new sequence of ambient vibrations and motion are created through a learning module. A reset switch reprograms the sequence of motions.

In some embodiments, a method for confirming that a biological sample provided by an individual and sent to a testing facility was obtained from the individual includes obtaining a sample collection unit containing the biological sample and a video of the individual providing the biological sample. The individual provides the biological sample by recording a video of himself or herself: opening the sample collection unit; depositing the biological sample into the sample collection unit; and closing the sample collection unit. The method further includes analyzing the biological sample for one or more of at least one pathogen and at least one antibody to a pathogen; analyzing the video to ensure that the individual in the video provided the sample; and performing facial recognition on the video to correlate the sample collection unit and the biological sample to the individual.

A knocking gesture access control system includes a local access assembly, a mobile device, a storage medium, and a processor. The assembly is adapted to operate between access and no-access states, and includes a controller to effect actuation between the states, and a receiver. The device is adapted to be carried by a user, and includes a microphone configured to sense a knocking gesture performed by the user signifying an intent to gain entry. The storage medium is configured to store an application and preprogrammed knocking gesture data associated with the knocking gesture. The processor is configured to receive the knocking gesture sensed by the microphone and execute the application to compare the knocking gesture to the preprogrammed knocking gesture data, and output a command signal to the controller via the receiver to effect actuation between states if the knocking gesture sufficiently compares to the preprogrammed knocking gesture data.

Methods, systems, and apparatus for door knock access control are disclosed. A monitoring system for monitoring a property includes: a proximity sensor located at a door of the property; a microphone that is configured to detect sound within an area near the door and generate audio data that represents the detected sound; and a monitor control unit configured to perform operations including: receiving, from the proximity sensor, proximity data indicating an object positioned within a set proximity to the door; based on receiving the proximity data, activating the microphone; receiving, from the microphone, the audio data; determining that a similarity between the audio data and stored audio data representing a knocking pattern satisfies similarity criteria; and in response to determining that the similarity between the audio data and the stored audio data satisfies similarity criteria, performing a monitoring system action.

Methods and systems for validating intent to actuate an electronic lock are provided, using comparative gesture processing. One method includes obtaining motion signals representative of physical motion of the mobile device detected by a motion sensor of the mobile device and at an electronic lock. The method includes performing a similarity correlation between the first motion signals and the second motion signals, and, based on the similarity correlation determining that the first motion signals and second motion signals are correlated. Based on the correlation and authentication, the wireless electronic lockset is actuated.