Abstract: An example method is disclosed, the method comprising: (i) detecting, via a first sensor of an alert system configured for use with a vehicle, a living being inside the vehicle; (ii) measuring, via a second sensor, an environmental feature inside the vehicle; (iii) based at least on the detection of the living being and the measured environmental feature, determining, an alert condition inside the vehicle; (iv) selecting a first computational action based at least on the determined alert condition; (v) transmitting an instruction that causes a component of the vehicle to perform the selected first computational action; (vi) selecting a second computational action based at least on the determined alert condition; and (vii) transmitting, via a network interface, to at least one computing device that is remote from the alert system, an instruction that causes at least one remote computing device to perform the selected second computational action.

Abstract: An example method is disclosed, the method comprising: (i) detecting, via a first sensor of an alert system configured for use with a vehicle, a living being inside the vehicle; (ii) measuring, via a second sensor, an environmental feature inside the vehicle; (iii) based at least on the detection of the living being and the measured environmental feature, determining, an alert condition inside the vehicle; (iv) selecting a first computational action based at least on the determined alert condition; (v) transmitting an instruction that causes a component of the vehicle to perform the selected first computational action; (vi) selecting a second computational action based at least on the determined alert condition; and (vii) transmitting, via a network interface, to at least one computing device that is remote from the alert system, an instruction that causes at least one remote computing device to perform the selected second computational action.

Abstract: In one aspect, an example method includes (a) determining, via a thermal conductivity sensor of an automobile damage detection device, one or more thermal conductivities at one or more locations on an automobile; (b) transmitting, via a network interface of the automobile damage detection device, a request for anticipated thermal conductivity data from an automobile claims system, wherein the anticipated thermal conductivity data corresponds to anticipated thermal conductivities at the one or more locations on the automobile; (c) in response to transmitting the request, receiving, via the network interface from the automobile claims system, the anticipated thermal conductivity data; and (d) in response to receiving, from the automobile claims system, the anticipated thermal conductivity data, displaying, via a graphical user interface, a graphical representation of the determined one or more thermal conductivities and the anticipated thermal conductivity data.

Abstract: In one aspect, an example method includes (a) determining, via a thermal conductivity sensor of an automobile damage detection device, one or more thermal conductivities at one or more locations on an automobile; (b) transmitting, via a network interface of the automobile damage detection device, a request for anticipated thermal conductivity data from an automobile claims system, wherein the anticipated thermal conductivity data corresponds to anticipated thermal conductivities at the one or more locations on the automobile; (c) in response to transmitting the request, receiving, via the network interface from the automobile claims system, the anticipated thermal conductivity data; and (d) in response to receiving, from the automobile claims system, the anticipated thermal conductivity data, displaying, via a graphical user interface, a graphical representation of the determined one or more thermal conductivities and the anticipated thermal conductivity data.

Abstract: An example method is disclosed, the method comprising: (i) detecting, via a first sensor of an alert system configured for use with a vehicle, a living being inside the vehicle; (ii) measuring, via a second sensor, an environmental feature inside the vehicle; (iii) based at least on the detection of the living being and the measured environmental feature, determining, an alert condition inside the vehicle; (iv) selecting a first computational action based at least on the determined alert condition; (v) transmitting an instruction that causes a component of the vehicle to perform the selected first computational action; (vi) selecting a second computational action based at least on the determined alert condition; and (vii) transmitting, via a network interface, to at least one computing device that is remote from the alert system, an instruction that causes at least one remote computing device to perform the selected second computational action.

Abstract: In one aspect, an example method includes (i) accessing, by a computing device, a first Internet Protocol (IP) address that encodes first attributes of a first profile; (ii) accessing, by the computing device, a second IP address that encodes second attributes of a second profile; (iii) comparing, by the computing device, the first IP address and the second IP address using a network layer communication function; (iv) determining, by the computing device, that a result of the comparing satisfies a threshold condition; and (v) based on the result of the comparing satisfying the threshold condition, providing, by the computing device to another device, an indication of a match between the first profile and the second profile.

Abstract: In one aspect, an example method includes (i) accessing, by a computing device, a first Internet Protocol (IP) address that encodes first attributes of a first profile; (ii) accessing, by the computing device, a second IP address that encodes second attributes of a second profile; (iii) comparing, by the computing device, the first IP address and the second IP address using a network layer communication function; (iv) determining, by the computing device, that a result of the comparing satisfies a threshold condition; and (v) based on the result of the comparing satisfying the threshold condition, providing, by the computing device to another device, an indication of a match between the first profile and the second profile.

Abstract: In one aspect, an example method includes (a) determining, via a thermal conductivity sensor of an automobile damage detection device, one or more thermal conductivities at one or more locations on an automobile; (b) transmitting, via a network interface of the automobile damage detection device, a request for anticipated thermal conductivity data from an automobile claims system, wherein the anticipated thermal conductivity data corresponds to anticipated thermal conductivities at the one or more locations on the automobile; (c) in response to transmitting the request, receiving, via the network interface from the automobile claims system, the anticipated thermal conductivity data; and (d) in response to receiving, from the automobile claims system, the anticipated thermal conductivity data, displaying, via a graphical user interface, a graphical representation of the determined one or more thermal conductivities and the anticipated thermal conductivity data.

Abstract: In one aspect, an example method includes (i) accessing, by a computing device, a first Internet Protocol (IP) address that encodes first attributes of a first profile; (ii) accessing, by the computing device, a second IP address that encodes second attributes of a second profile; (iii) comparing, by the computing device, the first IP address and the second IP address using a network layer communication function; (iv) determining, by the computing device, that a result of the comparing satisfies a threshold condition; and (v) based on the result of the comparing satisfying the threshold condition, providing, by the computing device to another device, an indication of a match between the first profile and the second profile.

Abstract: In one aspect, an example method includes (i) determining, by a computing system at a first time, a first height of a bumper of a leading vehicle relative to a reference height; (ii) determining, by the computing system at a second time that is later than the first time, a second height of the bumper relative to the reference height; (iii) making, by the computing system, a determination that the determined first height and the determined second height lack a threshold extent of similarity based on an established tolerance level; and (iv) responsive at least to making the determination that the determined first height and the determined second height lack the threshold extent of similarity based on the established tolerance level, causing, by the computing system, the light source to operate.

Abstract: In one aspect, an example method includes (i) determining, by a computing system at a first time, a first height of a bumper of a leading vehicle relative to a reference height; (ii) determining, by the computing system at a second time that is later than the first time, a second height of the bumper relative to the reference height; (iii) making, by the computing system, a determination that the determined first height and the determined second height lack a threshold extent of similarity based on an established tolerance level; and (iv) responsive at least to making the determination that the determined first height and the determined second height lack the threshold extent of similarity based on the established tolerance level, causing, by the computing system, the light source to operate.