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. 2019 Mar 31;9(4):133. doi: 10.3390/ani9040133

Table 1.

A comparison between various sensors and their applications.

Hardware Comparisons
Sensor Device and Manufacturer examples Features Fallbacks Applications
Cameras
2D (RGB)
— Lorax
— eYenamic®

3D (RGBD)
— Microsoft Kinect®
— Intel Realsense®
— eYegrow®
— Useful for fine positional and color variational data

— High precision and lots of data

— Remote sensing (non-invasive)

— Fast readings (usually 15–60fps)

— Individual or group can be analyzed
— Requires filtering to obtain useful information

— Performance is dependent on lighting conditions

— May require protective covers against
  environmental elements
— Optical character recognition

— Feature extraction

— Motion detection

— Topology extraction

— Animal distribution and activity
Thermometers
Infrared Imaging (IR)
— FLIR®
— FLUKE®
— TESTO 875®
— Useful for biological process observation and night vision

— High performance in low visibility settings

— Remote sensing (non-invasive)

— Fast readings (usually 15–60fps)
— Expensive
  (Mid hundreds to several thousands per unit)

— Environmental factors affect readings
— Remote temperature sensing

— Low light imaging

— Physiological responses
  (individualized and group)
Thermistors
— Integrated in wearable sensors
— Useful for temperature fluctuations

— Inexpensive
— Slow to sense changes

— Not an off the shelf system
— Contact temperature sensing

— Physiological responses
Microphones
— Soundtalks®
— PCM Monitor®
— Useful for sound/frequency fluctuations

—Immediate readings

— Inexpensive
— Easily corrupted by noise — Monitoring periodic physiological process (in pens and/or barns)

— Auditory classification
Accelerometers
Exmples of WSN
— Remote Insights®
— Smartbow®
— Useful for motion tracking

— Near instantaneous readings

— Embedded into wearable sensors used in wireless sensor networks (WSN)
— Requires external processing to obtain displacement and velocity data

—Information is relative
  (not absolute)

— Fragile
  (can break with sow behavior)
— Motion detection/observation
  (i.e., walking, nesting behavior)

—Positional state tracking
  (i.e., lying, standing)