* 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
Bluetooth low-energy (BLE) beacons Typical uses: Warehouses: Automatic inventory of assets Indoor positioning: Tracking assets’ location automatically
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
Parking sensors (Infrared, Passive Infrared(PIR)) and Ultrasonic Vehicle Detection Sensors – Individual parking space sensors that gather and transmits information for management, payment and compliance monitoring
Portable waste bin or portable toilets enabled with GNSS. Once data related to fill rates and temperatures of smart bins /toilets are collected, the sensors relay the exact location and other waste related information of the bins in question so waste management can send out SMSes to nearby garbage collectors to do the needed collection/emptying before harmful carbon emissions are released.
RFID Readers: E.g., Handheld Typical uses: Warehouses: Tracking assets that are packaged or inside a container Hospitals: Tracking asset locations automatically within a limited distance range
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
Smart Waste Bin with wireless ultrasonic fill-level sensors and other indicators such as temperature and tilt within waste container
Some of the key types of sensors used in urban air quality monitoring include: Particulate Matter (PM) Sensors: These sensors measure concentrations of particulate matter Nitrogen Dioxide (NO2) Sensors: NO2 is a common urban pollutant, often produced by vehicle exhaust and industrial processes. Sulfur Dioxide (SO2) Sensors: Commonly produced by industrial processes, SO2 levels are often monitored using ultraviolet fluorescence or electrochemical sensors. Ozone (O3) Sensors: Ozone at ground level is a harmful pollutant, and its concentration is typically monitored using ultraviolet (UV) photometry or electrochemical cells. Carbon Monoxide (CO) Sensors: CO is a colorless, odorless gas resulting from incomplete combustion. It’s usually monitored in urban environments using electrochemical sensors. Volatile Organic Compounds (VOCs) Sensors: VOCs are emitted from a variety of sources, including vehicle exhaust, industrial processes, and consumer products. Meteorological Sensors: These sensors measure environmental conditions like temperature, humidity, wind speed, and wind direction, which are important for understanding and interpreting air quality data.
Underground mining has significant safety hazards due to high-stress concentrations, weak rock masses, and limited access and air quality. Different sensors are used in mine-related activities, such as geophones in exploration and blast control, piezometers in dewatering and toxic gas detectors in working frontlines.
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.
