Personal Care and Safety
StreamCentral offers unparalleled near real time insights into the context of any alarm that a Personal Care and Safety response service receives. This understanding of the event (instead of simply knowing that an alarm has been set off) enables the response service to react with more speed and efficiency in delivering the most appropriate response to a given event. Reacting efficiently at speed can save lives as well as time and money.
The range and sophistication of personal care and safety related devices and sensors continues to grow, in terms of the situations that they detect and the information they transmit. Devices and sensors such as those listed below are provide by many specialist provides:
- Fall detectors
- Temperature sensors
- Geo-Boundary detectors
- Rapid motion (epilepsy) detectors
- Smoke/fire detectors
- Remote medication dispensers and usage detectors
- Water detectors
- Room motion detectors
- Panic alarms.
Monitoring services will process information from a specific device/sensor and generate an alert on a response service provider’s display when a that device/sensor is triggered. The response service provider will then follow a process for establishing what has happened to determine what type of response is required. Now what if fall detector is triggered and the responder is not able to get through to the service user, how serious is the situation – should an ambulance be called out or should a relative/friend of the service user be informed?
StreamCentral can take continuous, simultaneous, near real time readings from many different devices/monitors/sensors providing a context/event based view of why an alarm may have been generated. A fall detector alarm followed by a motion detector sensing that a service user is moving suggests a different situation and response to one where there is no movement after say 30 seconds. This is important information that can either be relayed to a standard responder or be used to determine the type of responder to send.
In addition to providing information about an event, StreamCentral will also provide any trends patterns relating to the service user and the type of event that has been detected (e.g. the service user is falling with greater frequency over the past three months and has always started to walk around within 1 minute).
There is also a vast amount of localised information that is available from various data sources which can provide useful context about why a given situation may have occurred:
- Temperature (ice/frost/ heatwave)
- Air pollution levels
- Wind speed
- Pollen levels
- Flood alerts
- Phone line / mobile service issues
- Electricity supply failures
- Earth tremors.
StreamCentral can overlay this localised environmental information onto the information provide by devices and sensors, again in near real time, to provide even more insight into the event which resulted in an alarm being received by a response service. In in the above example of a fall detector triggering an alarm, if we also know from a geo-boundary detector that the service user was outside their home when they fell and that the outside conditions were icy, then we can deduce much more about what has happened. If the geo-boundary device then shows a change in location after a short period, the nature of the event is likely to be less serious than if there is no further movement detected.
Many domestic alarms that are received by response or emergency services are false alarms. When these result in say the police or fire services being called out, unnecessary resource, time and money are wasted. After several false alarms some customers may find that emergency services will not attend further alarm calls.
StreamCentral allows the event that has given rise to an alarm to be better understood, as it takes information from multiple sensors across a home in near real time to determine what is likely to be going on. For example, if a PIR sensor (motion detector) detects a movement in a room in a customer’s home, StreamCentral will process the information that it is receiving from other sensors such a PIR sensors in adjoining rooms, door opening sensors or under carpet pressure mats to determine what is likely to be going on.
More context about an event leads to more efficient use of resources.