Overview
Different from traditional analog light sensor, as Grove - Light Sensor, this digital module features a selectable light spectrum range due to its dual light sensitive diodes: infrared and full spectrum.
You can choose among three detection modes when taking your readings. There is infrared mode, full spectrum and human visible mode. When running under the human visible mode, this sensor will give you readings within the range of light spectrum that the eye can pick up.
Features
-
Selectable detection modes
-
High resolution 16-Bit digital output at 400 kHz I2C Fast-Mode
-
Wide dynamic range: 0.1 - 40,000 LUX
-
Wide operating temperature range: -40°C to 85°C
-
Programmable interrupt function with User-Defined Upper and lower threshold settings
Tech specs
Specifications
Items |
Min |
Typical |
Max |
Unit |
Supply voltage, VDD |
3.3 |
5 |
5.1 |
V |
Operating temperature |
-30 |
\ |
70 |
℃ |
SCL,SDA input low voltage |
-0.5 |
\ |
0.8 |
V |
SCL,SDA input high voltage |
2.3 |
\ |
5.1 |
V |
Get Inspired
Control the air/fuel mixture for a better fuel economy of a engine with a Arduino Nano.
As climate change continues to worsen, events such as heavy rains, hurricanes, and atmospheric rivers have only intensified, and with them, large amounts of flooding that pose serious risks to life and property. Jude Pullen and Pete Milne, therefore, have responded by creating a "physical app" that can show the potential for flood dangers in real-time with sound, lights, and an ePaper display. The Arduino Nano 33 IoT powering the Flood Alert device sources its data from the UK Environmental Agency’s API to get statistics on an area’s latest risk level along with an extended description of what to expect. Initially, the electronics were mounted to a breadboard and housed within a cardboard enclosure, but a later revision moved everything to soldered protoboard, a 3D-printed case, and even added a piezoelectric buzzer to generate audible alerts. For now, the Flood Alert’s sole source of data is the aforementioned API, but Pullen hopes to expand his potential data sources to include “hyper-local” sensors that can all be aggregated and analyzed to give a much more precise view of flooding in a smaller area. To learn more about Flood Alert and its myriad applications to local communities and beyond, check out the original long read article’ is available at DesignSpark.