Abstract

To equip first responders with critical, time-sensitive information and accelerate emergency services response times, various solutions are provided herein through several techniques. Under a first technique, after an emergency event such as a gunshot is either automatically detected by a camera or manually initiated by a user, or when a dangerous object such as a gun is detected by a camera, a network may react by associating the source of the dangerous event or object with a person based on proximity data; identifying the physical characteristics of the person (such as height, hair color, clothing, visible tattoos, etc.); attaching such characteristics as textual metadata; and then transmitting that metadata to first responders. A second technique automatically develops a radio frequency (RF) signature profile of a person of interest (from RF signals emitted by devices carried by the person), associates that profile to the person, and leverages that profile to track the person as they move throughout a building or campus, allowing a user to look back in time (to, for example, identify where a person came from and how they entered a building) by tracking the RF profile over time. The above-described data is extremely important during any ongoing emergency and equips first responders with critical information which only a network can provide.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Download

Share

COinS