A System and Method for the Localization of Tagged Pedestrians, Pets or Objects using Parked Cars
Publication Date: 2015-Mar-12
The IP.com Prior Art Database
Disclosed is a system for detecting missing persons, animals, or objects using parked cars in a sensor network that detects individualized tags. The network functions in conjunction with a tracking algorithm while the system provides a method for efficient use of network capacity generating the required coverage.
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A System and Method for the Localization of Tagged Pedestrians , , using Parked Cars
People with special needs or who require special care due to mental illness , disease, disability, or injury are at a high level of risk when out of range of care . Localization of persons at risk is difficult when the individual moves away from the intended /expected location. A similar difficulty is experienced when one is searching for or tracking children, pets, or objects. The localization of persons at risk is difficult and depends on serendipity. The localization of pets or objects can be more difficult .
Several methods exist for the support of search efforts for persons at risk , such as a localization service based on transmitters that can be detected using dedicated equipment and Global Positioning System (GPS) trackers that claim to track persons at risk, pets, or objects. However, the range of the existing transmitters is low and both types of systems require a steady supply of energy.
Bluetooth based systems use multiple devices to collaborate and detect a target object . With these systems, energy is still required and the detection system has no control over the on/off state of the Bluetooth sensor in the participating detectors .
The novel contribution is a method for tracking at -risk tagged persons, pets, or objects using sensor networks based on parked cars. The system relies on tag detection technology, radio frequency identification (RFID), Bluetooth, short-range radio, and
wireless communication technology (e.g., text services, etc.).The system provides a sensor network operated by parked cars for the localization of tags . It employs dedicated detection sensors in parked cars as RFID, Bluetooth, and radio equipment.
An efficient method and set of algorithms optimizes the power (i.e. battery) consumptions of participating cars. A central station broadcasts the request for finding a tag.
Centralized Algorithm A
1. Initialization: request for search is transmitted 2. Cars' communicate position, free capacity, expected duration of stay 3. Centralized optimization determines optimal coverage given constraints 4. Cars are assigned schedules by central entity...