The present invention is a system for submitting data which includes a data collecting computer comprising a processor and software. The processor is configured to connect to a communication system; submit audio and video data to a third party. The processor is configured to communicate, via the communication system, to a first communication device; and submit data to the first communication device for emergency purposes.

The invention relates to a method for determining a noteworthy sub-sequence (114a) of a monitoring image sequence (110) of a monitoring area comprising the following steps: providing an audio signal (S1) from the monitoring area, at least partially including a time period of the monitoring image sequence; providing the monitoring image sequence (S1) of the environment to be monitored, which has been generated by an imaging system; determining at least one segment of the audio signal from the provided audio signal, which has unusual noises (S2); determining at least one segment of the monitoring image sequence having unusual movements within the environment to be monitored (S3); determining a correlation between the at least one segment of the audio signal having unusual noises (114a) and the at least one segment of the monitoring image sequence with unusual movements (114a) in order to determine a noteworthy sub-sequence (114) of the monitoring image sequence (110).

A work machine periphery monitoring system includes: a camera 30 as a detection unit that detects a person in a periphery of a work machine; an alarm portion that outputs an alarm; a state determination unit 54 that determines a state of a body of the person detected by the camera 30; and an alarm control unit 56 that controls the output of the alarm by the alarm portion on the basis of a determination result of the state determination unit 54.

A vehicle including powered door locks, a motor for positioning the powered door locks between a locked position and an unlocked position, one or more sensors for detecting an unauthorized event around the vehicle, and a controller configured to operate the motor to repeatedly move the powered door locks in a predetermined pattern based on speed in response to the one or more sensors detecting an unauthorized event around the vehicle.

A method and a system detect damage caused to a parked vehicle and identify the originator of the damage.

Low-power vehicle sentinel systems and methods are disclosed herein. An example method includes obtaining electromagnetic signals in a target area surrounding a vehicle. The electromagnetic signals can be obtained from electromagnetic elements mounted to the vehicle. The method can include determining attributes or behaviors of an object in the target area based on the electromagnetic signals and executing a response measure based on the attributes or behaviors of the object.

The present invention extends to methods, systems, and computer program products for detecting physical threats approaching a vehicle. External sensors on a vehicle capture the environment around the vehicle. Approaching targets detected by the external sensors can be fed into a neural network to recognize and/or classify approaching targets as potential threats. Tracking mechanisms (e.g., Kalman filters, Particle filters, etc.) can leverage temporal information to determine if a threat is approaching a vehicle. When an approaching threat is detected, a vehicle can activate one or more counter measures to deter the threat. When a vehicle includes autonomous driving capabilities, counter measures can include automatically attempting to drive away from an approaching threat.

The present technology generally relates to robotics. More specifically, the present technology relates to systems and methods for reducing false alarms by a mobile robotic device using data collected by sensors in the robotic device. An example of the technology may include receiving sensor data at one or more sensors; determining a first portion of the sensor data that matches one or more positive logic patterns of the set of positive logic patterns; determining a second portion of the sensor data that matches one or more negative logic patterns of the set of negative logic patterns; determining a third portion of sensor data that does not match any positive logic patterns of the set of positive logic patterns or negative logic patterns of the set of negative logic patterns; generating an alarm decision; receiving an input indicating that the alarm decision was incorrect; linking the alarm decision and the input to each other; and transmitting the linked alarm decision and input to the second pattern library based on the input.

A system for vehicle interior detection, may include: a radar sensor having an emitting surface which emits a radar signal to a passenger compartment of a vehicle, and a plurality of conductive pins; a mounting bracket with which the radar sensor is mounted on a glass of the vehicle; a plurality of conductive layers which are provided on the glass; and a plurality of fixed contacts which are provided on the plurality of conductive layers, respectively, and which contact the plurality of conductive pins, respectively.

A system consisting of a vehicle which is autarchically mobile in the outdoor area on a property and a surveillance module which can be attached to the vehicle, wherein the surveillance module has surveillance sensors for carrying out surveillance of the property. The surveillance module can be replaced with a work module. Plant care activities can be performed with the work module.