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 method of identifying vacant parking locations includes receiving sensor data captured with respect to a parking aisle and analyzing the received sensor data to detect shadows cast by parked vehicles within the parking aisle. Vacant parking spots are detected based on the detected shadows. An output is generated indicating whether a parking spot vacancy has been detected within the parking aisle.

A vehicle theft-prevention apparatus can include at least one computing device coupled to at least one sensor and a wireless transceiver. The at least one sensor configured to sense measurements proximate to a vehicle. The at least one computing device can be configured to read a plurality of first measurements of the at least one sensor at a predetermined frequency, where the at least one sensor is located in a first position of the vehicle. The at least one computing device can be configured to receive a plurality of second measurements from at least one additional theft-prevention apparatus, where the at least one additional theft-prevention apparatus is located at a second position in the vehicle. The at least one computing device can determine that a person has entered the vehicle based on at least one of: the plurality of first measurements and the plurality of second measurements.

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.

A driver monitoring system for a vehicle includes a camera and an ECU. The camera is disposed at an interior of the vehicle so as to view the face of a driver of the vehicle. The camera captures image data and the captured image data includes image data representative of the face of the driver. The ECU includes electronic circuitry and associated software, with the electronic circuitry including an image processor that processes image data captured by the camera. The ECU, responsive to processing by the image processor of image data captured by the camera, determines a heart rate of the driver.

A vehicle theft-prevention apparatus can include a wireless transceiver, a plurality of sensors configured to sense measurements proximate to a vehicle, 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. In response to entering the armed mode, the at least one computing device can set a configuration of at least one property of a subset of the plurality of sensors. The at least one computing device can receive, via the wireless transceiver, a second indication to enter a special mode from the armed mode. In response to entering the special mode, the at least one computing device can alter the configuration of the at least one property of the subset of the plurality of sensors.

A system can include at least one server in communication with a vehicle theft-prevention apparatus that comprises a plurality of sensors and at least one computing device. The at least one server can be configured to receive an authentication request from a particular application executed on a mobile device comprising user credentials. The at least one server can authenticate the authentication request as a particular user account, where the particular user account is associated with the vehicle theft-prevention apparatus. The at least one server can receive instructions from the particular application that the mobile device has moved outside of a geofence associated with the vehicle theft-prevention apparatus. The at least one server can send a command to the vehicle theft-prevention apparatus to enter an armed mode.

A computer-implemented method of field calibrating a device is disclosed. In one example, a reference image is acquired, via an infrared camera, while the device is in a factory-calibrated state. The reference image measures a factory-calibrated spatial relationship of one or more infrared-visible fiducial markers of the device relative to the infrared camera while the device is in the factory-calibrated state. Later, a field image is acquired, via the infrared camera. The field image measures an updated spatial relationship of the one or more infrared-visible fiducial markers relative to the infrared camera. The device is field calibrated based on the reference image and the field image.

A vehicle theft-prevention apparatus can include at least one computing device and a cylindrical body configured to be positioned within a cup holder of a vehicle, the cylindrical body having a cup holder element on a top side. The vehicle theft-prevention apparatus can further include a fish-eye camera sensor on an upper portion of the body, a passive infrared sensor positioned in the body, and a plurality of legs mechanically connected to a locking mechanism and configured to extend to provide an outward force on the cup holder to prevent removal of the vehicle theft-prevention apparatus. The at least one computing device can comprise a processor and a memory and can be configured to capture a plurality of images from the fish-eye camera sensor, read a plurality of measurements from the PIR sensor, and trigger an alarm based on the plurality of images and the plurality of measurements.

A lidar system includes a laser source, a photodetector, an emission lens, a receiving lens, and a processor. The laser source is configured to be translated through a plurality of emission locations, and to emit a plurality of laser pulses therefrom. The emission lens is configured to collimate and direct the plurality of laser pulses towards an object. The receiving lens is configured to focus the portion of each of the plurality of laser pulses reflected off of the object to a plurality of detection locations. The photodetector is configured to be translated through the plurality of detection locations, and to detect the portion of each of the plurality of laser pulses. The processor is configured to determine a time of flight for each of the plurality of laser pulses from emission to detection, and construct a three-dimensional image of the object based on the determined time of flight.