Sensor fusion for fire detection and air quality monitoring

    公开(公告)号:US12104926B2

    公开(公告)日:2024-10-01

    申请号:US18095154

    申请日:2023-01-10

    Applicant: SAAM, Inc.

    CPC classification number: G01D21/02 G08B17/00 G08B21/14 G08B25/10

    Abstract: A safety system for residential and commercial use includes a plurality of sensor modules that may be distributed about the environment, and that are in communication with a remote server environment and with other devices over a wireless communication network (e.g., cellular, Wi-Fi). Each sensor module includes a plurality of sensors that are capable of measuring or detecting characteristics of the environment such as smoke, small particulate, large particulate, chemicals, gasses, temperature, humidity, pressure, geolocation, and other characteristics. Analysis of sensor data is performed locally on the sensor module, as well as remotely on a server, in order to fuse and consider multiple sensor data points to identify emergency and non-emergency scenarios. By fusing and analyzing sensor data emergencies can be detected more quickly, and false alarms can be filtered out and avoided.

    Sensor fusion for fire detection and air quality monitoring

    公开(公告)号:US11579002B2

    公开(公告)日:2023-02-14

    申请号:US17746787

    申请日:2022-05-17

    Applicant: SAAM, INC.

    Abstract: A safety system for residential and commercial use includes a plurality of sensor modules that may be distributed about the environment, and that are in communication with a remote server environment and with other devices over a wireless communication network (e.g., cellular, Wi-Fi). Each sensor module includes a plurality of sensors that are capable of measuring or detecting characteristics of the environment such as smoke, small particulate, large particulate, chemicals, gasses, temperature, humidity, pressure, geolocation, and other characteristics. Analysis of sensor data is performed locally on the sensor module, as well as remotely on a server, in order to fuse and consider multiple sensor data points to identify emergency and non-emergency scenarios. By fusing and analyzing sensor data emergencies can be detected more quickly, and false alarms can be filtered out and avoided.

    SENSOR FUSION FOR FIRE DETECTION & AIR QUALITY MONITORING

    公开(公告)号:US20230160729A1

    公开(公告)日:2023-05-25

    申请号:US18095154

    申请日:2023-01-10

    Applicant: SAAM, Inc.

    CPC classification number: G01D21/02 G08B25/10 G08B17/00 G08B21/14

    Abstract: A safety system for residential and commercial use includes a plurality of sensor modules that may be distributed about the environment, and that are in communication with a remote server environment and with other devices over a wireless communication network (e.g., cellular, Wi-Fi). Each sensor module includes a plurality of sensors that are capable of measuring or detecting characteristics of the environment such as smoke, small particulate, large particulate, chemicals, gasses, temperature, humidity, pressure, geolocation, and other characteristics. Analysis of sensor data is performed locally on the sensor module, as well as remotely on a server, in order to fuse and consider multiple sensor data points to identify emergency and non-emergency scenarios. By fusing and analyzing sensor data emergencies can be detected more quickly, and false alarms can be filtered out and avoided.

    SENSOR FUSION FOR FIRE DETECTION & AIR QUALITY MONITORING

    公开(公告)号:US20240418548A1

    公开(公告)日:2024-12-19

    申请号:US18818023

    申请日:2024-08-28

    Applicant: SAAM, Inc.

    Abstract: A safety system for residential and commercial use includes a plurality of sensor modules that may be distributed about the environment, and that are in communication with a remote server environment and with other devices over a wireless communication network (e g., cellular, Wi-Fi). Each sensor module includes a plurality of sensors that are capable of measuring or detecting characteristics of the environment such as smoke, small particulate, large particulate, chemicals, gasses, temperature, humidity, pressure, geolocation, and other characteristics. Analysis of sensor data is performed locally on the sensor module, as well as remotely on a server, in order to fuse and consider multiple sensor data points to identify emergency and non-emergency scenarios. By fusing and analyzing sensor data emergencies can be detected more quickly, and false alarms can be filtered out and avoided.

    SENSOR FUSION FOR FIRE DETECTION & AIR QUALITY MONITORING

    公开(公告)号:US20220276080A1

    公开(公告)日:2022-09-01

    申请号:US17746787

    申请日:2022-05-17

    Applicant: SAAM, INC.

    Abstract: A safety system for residential and commercial use includes a plurality of sensor modules that may be distributed about the environment, and that are in communication with a remote server environment and with other devices over a wireless communication network (e.g., cellular, Wi-Fi). Each sensor module includes a plurality of sensors that are capable of measuring or detecting characteristics of the environment such as smoke, small particulate, large particulate, chemicals, gasses, temperature, humidity, pressure, geolocation, and other characteristics. Analysis of sensor data is performed locally on the sensor module, as well as remotely on a server, in order to fuse and consider multiple sensor data points to identify emergency and non-emergency scenarios. By fusing and analyzing sensor data emergencies can be detected more quickly, and false alarms can be filtered out and avoided.

    Sensor fusion for fire detection and air quality monitoring

    公开(公告)号:US11340097B1

    公开(公告)日:2022-05-24

    申请号:US17587932

    申请日:2022-01-28

    Applicant: SAAM, Inc.

    Abstract: A safety system for residential and commercial use includes a plurality of sensor modules that may be distributed about the environment, and that are in communication with a remote server environment and with other devices over a wireless communication network (e.g., cellular, Wi-Fi). Each sensor module includes a plurality of sensors that are capable of measuring or detecting characteristics of the environment such as smoke, small particulate, large particulate, chemicals, gasses, temperature, humidity, pressure, geolocation, and other characteristics. Analysis of sensor data is performed locally on the sensor module, as well as remotely on a server, in order to fuse and consider multiple sensor data points to identify emergency and non-emergency scenarios. By fusing and analyzing sensor data emergencies can be detected more quickly, and false alarms can be filtered out and avoided.

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