– Global positioning system tag – communicates with GPS satellites to establish position with high accuracy, but only when the tag or animal is on land or at the water surface – Fastloc Global positioning system tag – GPS tag for aquatic animals that surface or haul out, when the tag locks onto the GPS satellite network to establish position with high accuracy – Pop-up satellite archival tag – after some period of time recording sensor data, the tag detaches itself from the animal and floats to the surface where it uses satellite connectivity to uplink the data stored on the tag – Acoustic tag – attached to the animals being tracked emit acoustic signals (typically ultrasound) which travel through water much better than RF signals. These signals are then received by buoys, which can then use satellite communications to backhaul the data to where it’s needed.
* Temperature & humidity sensors * Volumetric airflow & fluid sensors * Mold sensors * Occupancy detecting sensors * CO2 demand-controlled ventilation (DCV) sensors – work with sensors that detect a building’s occupancy and adjust ventilation accordingly * Light Sensors tied to motorized window treatments can pick up on sunlight and adjust window shading during the course of a day
Camera types used on agrobots: – RGB cameras – extensively used in agricultural machine vision applications for fruit/plant detection, yield prediction, segmentation tasks, disease detection, ripeness detection, weed detection and insects detection – Hyperspectral, thermal, or ultrasonic cameras – typically provide better results than conventional RGB color images – Stereoscopic cameras – provides 3D plant structure information (dimension of crops (depth information, crop height, leaf shape, leaf area etc.)) Critical factor is the camera’s resolution, which should be high enough to capture the details of the scene especially in the cases of insect and disease detection.
GPS for autonomous navigation in open-field cultivation environments Robotic data collection platform equipped with RADAR, liDAR, ultrasonic radar sensors, spectrometers, fluorometers
Monitoring emissions from factories in real-time involves a variety of sensors and instruments designed to measure different types of pollutants. These sensors are often networked together and connected to a central monitoring system that collects, analyzes, and reports data in real time. This enables factory operators and regulatory agencies to track emissions continuously and ensure compliance with environmental regulations, as well as to make informed decisions about emission control and reduction strategies. Gas Analyzers: These sensors are used to detect and quantify specific gases in the air, such as carbon dioxide (CO2), sulfur dioxide (SO2), nitrogen oxides (NOx), and volatile organic compounds (VOCs). Particulate Matter (PM) Sensors: These sensors measure the concentration of particulate matter in the air. Opacity Monitors: These are used to measure the opacity of emissions from smokestacks, which is an indicator of particulate matter concentrations. Flame Ionization Detectors (FID): FIDs are used to measure total hydrocarbon levels in emissions. FTIR (Fourier Transform Infrared Spectroscopy) Analyzers: These analyzers can detect a wide range of gases and are particularly useful for identifying complex mixtures of pollutants. UV Spectrometers: Ultraviolet spectrometry can be used to measure specific gases like ozone (O3) and sulfur dioxide (SO2) based on their absorption characteristics in the UV range. Chemical Sensors and Biosensors: These are used to detect and measure specific chemical compounds in emissions. Temperature, Pressure, and Flow Sensors: These sensors provide additional data on the emission conditions, such as the temperature and pressure of the emitted gases and the flow rate of emissions.
Rain Gauges: Modern rain gauges often come equipped with wireless communication capabilities, allowing them to transmit data on rainfall amounts to monitoring centers in real time. Stream Gauges: Many stream gauges are designed to wirelessly transmit data on water levels and flow rates, providing crucial information for flood forecasting.Soil Moisture Sensors: These sensors can be equipped with wireless communication to send soil moisture data to a central system, which helps in assessing the risk of flooding, especially in areas prone to flash floods. Pressure Transducers: Used in various water bodies, these sensors can wirelessly transmit water pressure data, which is then used to calculate water levels. Ultrasonic Sensors: These can be set up to measure water levels and then transmit the data wirelessly to a central monitoring system. Anemometers: Modern anemometers can send wind data wirelessly to meteorological centers, contributing to broader weather pattern analysis for flood prediction. Tide Gauges: In coastal areas, tide gauges equipped with wireless communication capabilities transmit sea level data, which is crucial for predicting storm surges and coastal floods.
Sanitation devices connected with sensors provide ability to control water flow, paper consumption, air flow for hand drying, and aroma or cleaning chemical sprays on a timer that can be controlled by a single source
Sensors that monitor a building’s air quality (i.e. carbon monoxide and other volatile carbon emission detection)
Smart meters that collect granular real-time data across the water grid, LED light sensors to monitor water levels in tanks, pH sensors, temperature sensors and turbidity sensors in pipelines and storage and distribution tanks, volume sensor
Wind Sensors (Anemometers): measure wind speed and direction, key factors in sandstorm formation. By understanding wind patterns, it becomes easier to predict the movement and intensity of sandstorms.
