An electronic monitoring system is described that receives data from a particular monitoring system, receives data from multiple other monitoring systems, analyzes data received from the particular monitoring system irrespective of data received from the multiple other monitoring systems, based on the analysis, determines whether one or more events occur at the particular environment, and in response to determining that a particular event occurs at the particular environment, evaluates the particular event against a set of rules, selects, based on the evaluation results, a particular subset of the multiple other monitoring systems to serve as a cooperative monitoring network, assesses data received from the particular subset of the multiple other monitoring systems, based on the assessment, tracks, in connection with the particular event, events detected by the particular subset of the multiple other monitoring systems, and handles the particular event based on the tracked events.

A vehicle safety system including a vehicle assembly, a communication assembly and a seat assembly is disclosed. The vehicle assembly includes a vehicle having a diagnostics port and an onboard vehicle computer. The communication assembly includes a communication device that plugs into the diagnostics port. The communications assembly includes a microprocessor and a wireless communication module. The seat assembly includes a seat cushion and a weight sensor. A child is to sit on the seat cushion during transportation. Once the vehicle is shut off, the weight sensor determines if any weight above a predetermined threshold is detected. If weight is detected and the vehicle is shut off then it is assumed that the child was mistakenly left in the vehicle unattended and alerts within the vehicle, due to the onboard vehicle computer, and to a mobile device of a user, due to the microprocessor and wireless communication module, are activated.

An information processing apparatus is provided. The apparatus is operable to perform: receiving, as input data, information of a person and object included in moving image data obtained from an image capturing unit, and estimating a dangerous state using a learned model generated by machine learning of, as supervised data, information representing that the person included in the moving image data is in a dangerous state caused by the object included in the moving image data; and obtaining new moving image data, providing the new moving image data to the estimating, and when information representing that the person included in the new moving image data is in the dangerous state is obtained as a response, issuing a notification.

A multiple object location assembly includes a tracking unit that is wearable on a user. The tracking unit has a plurality of communication channels that is each programmable to have a distance alarm is set to a pre-determined trigger distance. A plurality of transmitting units is provided and each of the transmitting units broadcasts a tracking signal to the tracking unit. each of the transmitting units is coupled to a respective one of a plurality of objects and the tracking signal broadcast by each of the transmitting units is associated with the respective object. Each of the transmitting units is assigned to a respective one of the communication channels in the tracking unit. Moreover, the distance alarm in a respective one of the communication channels is turned on when the transmitter assigned to the respective communication channel moves beyond the pre-determined trigger distance from the tracking unit.

An electronic bracelet and an offender monitoring system. The electronic bracelet comprises a monitoring device, a strap configured for attaching the monitoring device to a wrist of an offender and a tamper detection device for detecting a bracelet attachment error. The monitoring device of the electronic bracelet communicates with a central monitoring station and with a home station. The monitoring device is configured for displaying instructions on a screen of the monitoring device. The instructions are related to for example a violation of home curfew rules or a violation of geographical restriction rules. The electronic bracelet allows for both monitoring an offender inside and outside the offenders residence.

A method, system, apparatus, and/or device that may include: determining, by a processor, that an alert event has occurred; determining, by the processor, a level of the alert event, wherein the level of the alert event is a caution alert level, an urgent alert level, or a critical alert level; determining, by the processor, an initial alert activity associated with the caution alert level, the urgent alert level, or the critical alert level; performing, by the processor, the initial alert activity; receiving, from an input device, an updated alert activity associated with the caution alert level, the urgent alert level, or the critical alert level; and in response to that the initial alert activity conflicting with the updated alert activity, maintaining, by the processor, using the initial alert activity associated with the caution alert level, the urgent alert level, or the critical alert level.

An electronic bracelet and an offender monitoring system. The electronic bracelet comprises a monitoring device, a strap configured for attaching the monitoring device to a wrist of an offender and a tamper detection device for detecting a bracelet attachment error. The monitoring device of the electronic bracelet communicates with a central monitoring station and with a home station. The monitoring device is configured for displaying instructions on a screen of the monitoring device. The instructions are related to for example a violation of home curfew rules or a violation of geographical restriction rules. The electronic bracelet allows for both monitoring an offender inside and outside the offenders residence.

An electronic monitoring system is described that receives data from a particular monitoring system, receives data from multiple other monitoring systems, analyzes data received from the particular monitoring system irrespective of data received from the multiple other monitoring systems, based on the analysis, determines whether one or more events occur at the particular environment, and in response to determining that a particular event occurs at the particular environment, evaluates the particular event against a set of rules, selects, based on the evaluation results, a particular subset of the multiple other monitoring systems to serve as a cooperative monitoring network, assesses data received from the particular monitoring system with data received from the particular subset of the multiple other monitoring systems, based on the assessment, tracks, in connection with the particular event, events detected by the particular subset of the multiple other monitoring systems, and handles the particular event based on the tracked events detected by the particular subset of the multiple other monitoring systems.

An animal rescue system identifies and rescues a protection target which is an animal, using information from a camera. The animal rescue system includes: a plurality of movable bodies each equipped with a camera; and a server configured to communicate with the plurality of movable bodies. The server is configured to identify a protection target, using information from the camera mounted on each of the plurality of movable bodies. The server is configured, when the protection target is identified, to (a) acquire positional information about each of the plurality of movable bodies and positional information about the protection target, and (b) select, as the protection target moves, a movable body which is to monitor the protection target, from the plurality of movable bodies.

A tracking device with a screen that displays the mode of the tracking device on a screen. The device modes may include sleep mode, monitor mode, locate mode, and emergency mode. Each mode represents a frequency of transmission and which can be changed by the software developer or by the consumer in their software application. The sleep mode will be the fewest frequency pings and may be the mode in which the tracking device is operating while it is in a geofence. Monitor mode will be a higher frequency of pings and a locate mode may be yet a further increased number of pings per given time interval. The emergency mode will be entered when, for example, the pet is outside of the geofence and the owner needs to receive an intense number of pings to assure proper location, especially if the pet is moving. A charge may be made to the customer to enable readouts showing the mode and battery life left, and that the revenues derived from the customer, and in the case where the tracking device is used for pets, may be shared with the pet store. The user will be able to know the battery life remaining in any of the modes. The software application will communicate with the tracking device to change the frequency of the pings.