Multi-component gas and vapor monitoring sensor

    公开(公告)号:US12117431B2

    公开(公告)日:2024-10-15

    申请号:US18383267

    申请日:2023-10-24

    Applicant: SAAM, Inc.

    Inventor: John Coates

    CPC classification number: G01N33/0027 G01N21/3504

    Abstract: A series of optical spectral sensors for gas and vapor measurements using a combination of solid-state light sources (LED or Broadband) and multi-element detectors, housed within an integrated package that includes the interfacing optics and acquisition and processing electronics. The sensor is designed to be produced at a low cost and capable of being fabricated for mass production. Spectral selectivity is provided by a custom detector eliminating the need for expensive spectral selection components. A multi-component gas monitor system may have no moving parts and the gas sample flows through a measurement chamber where it interacts with a light beam created from the light source, such as a MEMS broad band IR source or a matrix of LEDs. A custom detector(s) is/are configured with multi-wavelength detection to detect and measure the light beam as it passes through the sample within the measurement chamber.

    MULTI-COMPONENT GAS AND VAPOR MONITORING SENSOR

    公开(公告)号:US20250003934A1

    公开(公告)日:2025-01-02

    申请号:US18884939

    申请日:2024-09-13

    Applicant: SAAM, Inc.

    Inventor: John Coates

    Abstract: A series of optical spectral sensors for gas and vapor measurements using a combination of solid-state light sources (LED or Broadband) and multi-element detectors, housed within an integrated package that includes the interfacing optics and acquisition and processing electronics. The sensor is designed to be produced at a low cost and capable of being fabricated for mass production. Spectral selectivity is provided by a custom detector eliminating the need for expensive spectral selection components. A multi-component gas monitor system may have no moving parts and the gas sample flows through a measurement chamber where it interacts with a light beam created from the light source, such as a MEMS broad band IR source or a matrix of LEDs. A custom detector(s) is/are configured with multi-wavelength detection to detect and measure the light beam as it passes through the sample within the measurement chamber.

    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.

    Multi-component gas and vapor monitoring sensor

    公开(公告)号:US11835504B2

    公开(公告)日:2023-12-05

    申请号:US17588654

    申请日:2022-01-31

    Applicant: SAAM, Inc.

    Inventor: John Coates

    CPC classification number: G01N33/0027 G01N21/3504

    Abstract: A series of optical spectral sensors for gas and vapor measurements using a combination of solid-state light sources (LED or Broadband) and multi-element detectors, housed within an integrated package that includes the interfacing optics and acquisition and processing electronics. The sensor is designed to be produced at a low cost and capable of being fabricated for mass production. Spectral selectivity is provided by a custom detector eliminating the need for expensive spectral selection components. A multi-component gas monitor system may have no moving parts and the gas sample flows through a measurement chamber where it interacts with a light beam created from the light source, such as a MEMS broad band IR source or a matrix of LEDs. A custom detector(s) is/are configured with multi-wavelength detection to detect and measure the light beam as it passes through the sample within the measurement chamber.

    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.

    MULTI-COMPONENT GAS AND VAPOR MONITORING SENSOR

    公开(公告)号:US20240053313A1

    公开(公告)日:2024-02-15

    申请号:US18383267

    申请日:2023-10-24

    Applicant: SAAM, Inc.

    Inventor: John COATES

    CPC classification number: G01N33/0027 G01N21/3504

    Abstract: A series of optical spectral sensors for gas and vapor measurements using a combination of solid-state light sources (LED or Broadband) and multi-element detectors, housed within an integrated package that includes the interfacing optics and acquisition and processing electronics. The sensor is designed to be produced at a low cost and capable of being fabricated for mass production. Spectral selectivity is provided by a custom detector eliminating the need for expensive spectral selection components. A multi-component gas monitor system may have no moving parts and the gas sample flows through a measurement chamber where it interacts with a light beam created from the light source, such as a MEMS broad band IR source or a matrix of LEDs. A custom detector(s) is/are configured with multi-wavelength detection to detect and measure the light beam as it passes through the sample within the measurement chamber.

    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.

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