Product offering systems are provided. Product offering systems may include sending an offer to a customer that possesses a mobile computing device and has agreed to receive offers for products via the mobile computing device. Agreeing to receive offers would result in the unique data about the customer being available to offer provider. Unique customer data may include data related to the customers wireless service provider or from a financial account in a financial institution, and collecting customer data about the customer, wherein the customer data comprises financial data and personal data. Product offering systems may further include registering a wireless computing device of the customer to able the device to receive the offer, and determining opportunities to send the offer to the customer by monitoring the customer and the customer data. Product offering systems may also include sending the offer to the customer's registered device based on the determination of opportunities.

A personal safety service notifies a pre-defined group of emergency contacts about an occurrence of emergency associated with a user. To do so, a personal safety service server comprising a processing device and a memory receives an indication of the emergency and a location of the emergency from a wearable mobile device and sends a notification message via a push notification displayed on user devices of a predefined group of emergency contacts indicating the occurrence of the emergency. The personal safety service server periodically receives updates to the location of the wearable mobile device from the personal safety service client application.

A nurse call system that enables a call for a nurse from anywhere in a hospital ward while a patient carries a mobile phone is provided. The nurse call system includes a plurality of patient mobile phones 10 are carried by hospitalized patients and connected to a controller 8 via a base station 12 as with nurse mobile phones 9, and each patient mobile phone 10 has a hospital room ID and a nurse call slave device ID registered therein for recognizing a bed location of the patient carrying the patient mobile phone 10, thus enabling a nurse call operation for transmitting a call signal with the hospital room ID and the slave device ID added thereto, to the nurse call master device 7 and at least one of the nurse mobile phones 9, through a predetermined operation.

The invention discloses a “one-touch call” platform based on a mobile intelligent terminal and the implementing method therefor, the platform comprising a one-touch call from and to a local calling area module, a one-touch call from and to a remote calling area module and a message sending module; a user can click a button corresponding to an emergency rescue department's phone number, such as 110, 119, 120, 122, government emergency office, social commonweal organization and rescue company beginning with 400, on the “one-touch call” platform through the mobile intelligent terminal. Then the platform will immediately obtain the user's location and local identifier from an electronic map and GPS, make an one-touch call to a target phone number, and automatically send the user's personal information (the the person calling for alarm, and time, mobile number, address of the alarm) and location in a map to a preset emergency contact person by a message. Through the method of this invention, a user can call a government emergency rescue department for help through the “one-touch call” platform, and automatically and simultaneously send personal information and location in a map to a preset emergency contact by a message.

The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.

The described technology is generally directed towards spammer location detection, and in particular, to locating a spammer that makes multiple calls from a given location via a cellular communications network. In some examples, network equipment can obtain call trace records associated with the multiple calls, identify a group of call trace records based on a shared call trace feature, aggregate data from call trace records within the group, and determine an estimated location based on the aggregated data.

The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.

A safety system particularly for a transport service software application. The system integrates into an existing transport service software application communicates with a cellular network mobile device of a transport service driver or at least one passenger located in a vehicle offering rideshare services. In an emergency, a user of the system may press a panic button on the application. The mobile device activates its camera and microphone turns on to livestreams audio and video to emergency personnel, and transmits GPS data to said emergency personnel.

Novel tools and techniques are provided for implementing 911 or enhanced 911 (“E911”) address update. In various embodiments, in response to a trigger event, a computing system may determine whether E911 address data associated with a customer that is stored in an E911 database requires updating. If so, the computing system may update the E911 database with address data associated with the customer that has been validated or verified (if available). Where no validated or verified address associated with the customer is available, the computing system may send a message to the customer to provide updated 911 or E911 address data; may receive, from a user device associated with the customer via an API over a network(s) operated by the service provider, updated 911 or E911 address data from the customer; and may update the E911 database with the received updated 911 or E911 address data from the customer.

Described herein are systems, devices, methods, and media for facilitating communications between emergency service providers and low acuity emergency service providers and managing low acuity responses to emergencies.