Powerful – high signal-to-noise (>1500:1) and dynamic range (4600:1) performance
Thermally stable – peak shape stays the same over a wide temperature range
Cost-effective – optical resolution of 1.5 nm is comparable to bench-top spectrometers
Reproducible – attractive design for OEM manufacturers
Plug-and-play – easy connectivity and adaptability with other devices
New! STS-UV-RAD really low cost UV radiometer
The STS UV spectrometer is coupled to a direct attach cosine corrector. The entire unit is calibrated to a NIST traceable D2 lamp to provide absolute irradiance (uW/cm2/nm) striking the plane of the cosine corrector. The unit couples to a PC by USB. Powerful Oceanview software runs the system on this STS spectrometer. It captures and displays irradiance spectra and also can display single value parameters such as integrated power or photon flux.
Couple your STS spectrometer to a Raspberry PI single board computer!
Miniature spectrometer + miniature PC = unlimited applications
STS spectrometer with Raspberry PI SBC, battery, WIFI and application serves up spectra on a web page — Spectrecology
Engineering Specifications
STS Developers Kit
PHYSICAL
Dimensions (spectrometer):
40 mm x 42 mmx 24 mm
Weight (spectrometer):
68 g
Weight (complete kit and cables):
190 g
KIT COMPONENTS
Wi-Fi range:
Up to 150 m (2.4 gHz frequencies)
Wi-Fi dongle:
USB plug-in
Power draw:
~1A with Wi-Fi
Battery:
Lithium ion, 3000 mAh (~3.0 hours wireless endurance)
Raspberry Pi interface:
Wi-Fi, USB, Ethernet, Bluetooth
SD card:
8 GB
SPECTROMETER
Wavelength range:
190-650 nm (UV), 350-800 nm (Vis) and 650-1100 nm (NIR)
Optical resolution:
1.5 nm FWHM w/25 µm slit
Signal to Noise:
>1500:1
Dynamic range:
5 x 109 (system, with 10 s maximum integration); 4600:1 single acquisition
Integration time:
10 µs to 10 s
Connector:
SMA 905
STS spectrometer on drones!
We offer paired STS spectrometers for measuring solar reflectance. One unit measures downwelling sunlight, the other points at the ground and measures reflected upwelling light. Applications include:
NDVI – normalized difference vegetation index – indicates presence of plants and is useful as a measure of health of plants
Spectral ID – recognizes spectral features to identify plants, invasive aquatic weeds, etc.
Our current project is identifying Egeria sp. (Brazilian water weed) in freshwater lakes.
STS developers kit flying on a drone — SpectrecologyNDVI vegetation index and spectra of aquatic weeds
Data Sheets & Manuals for coupling STS spectrometers to Raspberry Pi SBC: