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) |