Overview
The resistance of photoresistor decreases when the intensity of light increases. A dual OpAmp chip LM358 on board produces voltage corresponding to intensity of light(i.e. based on resistance value). The output signal is an analog value, the brighter the light is, the larger the value.
This module can be used to build a light controlled switch i.e. switch off lights during day time and switch on lights during night time.
Warning!: The light sensor value only reflects an approximated trend of light intensity, it DOES NOT represent the exact Lumen count.
Features
- Analog value output
- High reliability and sensibility
- Small footprint
- Recognizes a wide spectrum
Tech specs
|
Item |
Value |
|
Operating voltage |
3~5V |
|
Operating current |
0.5~3 mA |
|
Response time |
20-30 milliseconds |
|
Peak Wavelength |
540 nm |
|
Weight |
4 g |
Conformities
Get Inspired
Just a simple and enjoyable autonomous greenhouse
Humans are animals and like all animals, we evolved in mostly outdoor conditions where the air is nice and fresh. But modern society keeps most of us indoors the vast majority of the time, which could have negative health effects. There are many potential hazards, including a lack of sunlight and psychological effects, but CO2 may pose a more tangible risk. To keep tabs on that risk within classrooms, a team from Polytech Sorbonne built this small CO2 monitor. This CO2 monitor performs two functions: it shows anyone nearby the CO2 levels in the area and it uploads that data over LoRaWAN to a central hub that can track the levels across many locations. A school could, for example, put one of these CO2 monitors in every classroom. An administrator could then see the CO2 levels in every room in real time, along with historical records. That would alert them to immediate dangers and to long term trends. At the heart of this CO2 monitor is an Arduino MKR WAN 1310 development board, which has built-in LoRa® connectivity. It uses a Seeed Studio Grove CO2, temperature, and humidity sensor to monitor local conditions. To keep power consumption to a minimum, the data displays on an e-ink screen and an Adafruit TPL5110 timer only wakes the device up every ten minutes for an update. Power comes from a lithium-ion battery pack, with a DFRobot solar charger topping up the juice. It uploads data through The Things Network to a PlatformIO web interface. An Edge Impulse machine learning model detects anomalies, so it can sound a warning even if nobody is watching. The enclosure is 3D-printable.
