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.
Car-embedded sensors (lidar and radar), GNSS, and potentially data from brakes, accelerator, steering wheel, etc.
Driverless vehicles and Autonomous Drilling Systems that can operate without human intervention allow operations around the clock, enabling minerals to be extracted and processed in shorter time-frames. Real-Time Kinematic GPS (RTK-GPS) is used In underground mines due to a limited range of signal transmission below the surface and lack of satellite coverage in depth. RTK-GPS is used to ensure autonomous vehicles and drilling systems have clear path-tracking and collision avoidance capabilities. GPS-guided drilling operations. GPS provides accurate information to the drill head to control its direction deep within the earth.
GPS for autonomous navigation in open-field cultivation environments Robotic data collection platform equipped with RADAR, liDAR, ultrasonic radar sensors, spectrometers, fluorometers
Irradiance, temperature, humidity sensors and voltage sensors used to measure photovoltaic (PV) output current and voltage on solar panels. By placing sensors along the distribution channels and substations operators are able to gather real-time power consummation data which will helps make decisions about the load, voltage, and power being supplied
Light sensors – allows for the greenhouse lighting to be adjusted depending on the sun’s intensity, benefits of increasing electrical efficiency and cost savings of the entire system. Sensors for Volumetric water content (VWC), Bulk electrical conductivity (ECb), Temperature – Used to monitor soil moisture content
Machine vision camera and spectral imaging – helps growers track the growing process of their entire operation, give details on plant height, 3D leaf area, projected leaf area, digital biomass, leaf inclination, leaf area index, light penetration depth, and leaf coverage
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.
Smart Waste Bin with wireless ultrasonic fill-level sensors and other indicators such as temperature and tilt within waste container
Tag sensors and readers for tracking people, collecting environmental data, equipment tracking, and real-time alerts. RFID transmitter devices are mounted on headlamps belts or badge cards of miners to enable tracking of workers in real-time.
Types of sensors: Remote metering, Cathodic protection, Gas density, Pipeline pressure, Custody transfer flow meters, Fire / Gas / H2S alarms, Tank levels, Tank batteries, Temperature sensors, Control valves, Flow monitoring, Electricity consumption, Structural health & deformation, Air pollution
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 Turbine sensors are used to continually assess acceleration, temperature and vibration. Turbine impact sensors – for monitoring avian and bat collisions Turbine vibration sensors – Vibration sensors provide data that enables predictive maintenance, allowing operators to manage assets at a distance – Turbine – Because of variable wind speeds and frequent braking, the load is never consistent on the turbine, causing a lot of wear on the moving parts. Bearings are the biggest culprit in gearbox failure. When bearings fail, it usually leads to other components, such as gearwheels, breaking down, causing a domino effect of failure across the entire apparatus. One of the biggest issues with regard to bearing failure is lubrication starvation. Vibration sensors can help an operator stay ahead of lubrication issues by detecting subtle friction changes -Blade – Wear and tear on rotor blades come from high winds, lightning, ice, and extreme weather conditions that result in blade imbalance. Over time, these factors lead to cracking and fractures along the edges and pitch system failure. Wireless vibration sensors make it feasible to remotely monitor such conditions, alerting operators to impending failure and maintenance needs without physically accessing the site. These sensors are combined together into one communication channel. Associated KPI’s are considered in the aggregate.
