A method for detecting scratches and bumps applied to a vehicle uses an acceleration sensor. Signals of the sensor are analyzed and evaluated based on duration and frequency.

Proximity-based vehicle security systems and methods are provided herein. An example method includes determining a napping event of a vehicle occupant within a vehicle, determining, based on signals of external sensors of the vehicle, when an object has entered one of a plurality of distance-based zones during the napping event, each of the distance-based zones being associated with a unique security response, and invoking the unique security response of the one of a plurality of distance-based zones.

An affixable device can include a locking mechanism, a force-limiting mechanism, and a sensing mechanism. The locking mechanism can include an engagement component configured to disable the locking mechanism. The force-limiting mechanism can be configured to limit a locking force of the locking mechanism. The sensing mechanism can be coupled to the engagement component, and can be configured to determine that the force-limiting mechanism has limited the locking force of the locking mechanism. In response to determining the force-limiting mechanism limiting the locking force, the sensing mechanism can cause the engagement component to disable the locking mechanism.

A sensing device can include an accelerometer, a transceiver, and a computing device in communication with the accelerometer and transceiver. The computing device can transmit a first set of signals at a first power level to a remote device. The computing device can determine, via the accelerometer, a movement of the sensing device. The computing device can increase a power level for transmission from the first power level to a second power level in response to the movement. The computing device can transmit future signals at the second power level to the remote device.

A vehicle theft-prevention system can include a plurality of sensors configured to sense measurements proximate to a vehicle and a body configured to secure to a window of the vehicle. The body can include a wireless transceiver and at least one computing device coupled to the plurality of sensors and the wireless transceiver. The at least one computing device can be configured to receive, via the wireless transceiver, an indication to enter an armed mode from an unarmed mode. The at least one computing device can be configured to, in response to the indication, transition to the armed mode, wherein transitioning to the armed mode comprises setting a configuration of at least one property of a subset of the plurality of sensors.

Disclosed herein is a vehicle theft prevention device. The device can include a data store including event configuration data. The device can include one or more sensors that can sense various types of measurements proximate to a vehicle. The device can include a computing device in communication with the sensors. The computing device can read measurements from the sensors and determine that a particular event has occurred. The computing device can analyze the measurements to determine the particular event occurred based on the event configuration data. When the particular event occurs, the computing device can perform one or more remedial actions.

A sensing device can include at least one sensor, positioning circuitry, a transceiver, and a computing device in communication with the at least one sensor, the positioning circuitry, and the transceiver. The computing device can determine a location of a vehicle via the positioning circuitry. The computing device can determine that a point of interest (POI) associated with a predefined category of POIs corresponds to the location. The computing device, via the transceiver, can determine that a person is moving away from the vehicle based on a measurement associated with a remote device. The computing device can enter into an armed mode in response to the determinations. The computing device can detect an intrusion into a vehicle while in the armed mode based at least in part on measurements from the at least one sensor. The computing device can generate an alarm in response to the intrusion.

Disclosed herein is a vehicle theft prevention device. The device can include a data store including event configuration data. The device can include one or more sensors that can sense various types of measurements proximate to a vehicle. The device can include a computing device in communication with the sensors. The computing device can read measurements from the sensors and determine that a particular event has occurred. The computing device can analyze the measurements to determine the particular event occurred based on the event configuration data. When the particular event occurs, the computing device can perform one or more remedial actions.

A wheel fastener alarm assembly is provided having a fastener body with a first portion defining a wrenching surface and a cavity, and a second portion with a threaded portion to attach and detach from a wheel of a vehicle. A sensor array is disposed in the cavity of fastener body to detect an attribute of the fastener body and generate an output signal based on the attribute of the fastener body. An antenna connected to the sensor array to transmit the signal to a remote location. A cap is secured to the first portion of the fastener body and covers the wrenching surface and the cavity opening to define a capped fastener body.

The present teaching relates to method and system related to providing an anti-tampering sensor assembly on a vehicle. An inertial measurement unit (IMU) is attached to a structure hosting at least one sensor to form a rigid integral structure, which is deployed on a vehicle with an installation pose to enable the at least one sensor therein to sense surrounding information to facilitate autonomous driving. The installation pose of the IMU is indicative of an installation pose of the at least one sensor. The IMU is configured to obtain, in accordance with a schedule, one or more measurements associated with its state, which can be used to enable detecting tampering of the rigid integral structure.