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.
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
Medical grade wearables: Wearable device worn or placed on a body part to record a particular physiological change (e.g., respiratory rate sensors or blood pressure monitors). Any biosensor device for recording data from biological or chemical reactions (e.g., pulse oximeters or spirometers).
Satellites: Geostationary and polar-orbiting weather satellites are equipped with advanced sensors to monitor wind patterns at high altitudes globally. They are particularly useful for tracking large-scale weather systems and providing data for flight path planning over remote areas like oceans. Satellite sensors that track high-altitude wind speeds can range from those capturing basic wind vector data to more complex imaging systems.
Sensors based on radar, visual or infrared technology integrated into the road infrastructure. The sensors detect approaching road users and signal this to the road users by visual and audio warnings.
To sense the environment, AVs use a combination of sensors:・External sensors (GNSS, cameras, lidars etc)・Internal automotive sensors and actuators (brakes, steering wheel, accelerator, etc)
Wearable devices with bio-sensors automated to capture and transmit health data to healthcare providers in a different location for assessment and recommendations.
Wearable equipped with motion sensors – Accelerometer, Gyroscope, Magnetometer GNSS – helps to map the route and terrain on which the activity was performed Heart rate sensors help to measure heart rates during exercise
Wearables equipped with a variety of sensors including 3 axis accelerometer, Gyroscope, Altimeter, Temperature sensor, Bioimpedance sensor, optical sensor, GNSS
