Air Quality Parameter Data Display
We offer end to end solutions for displaying Pollution displays:
1. The Data can be read Directly from A2D converters connected to Sensors.
2. The Data can be read from an EXCEL File periodically. The Data can be read from a Webservice (Website) that has the pollution data.
3. We can display any number of parameters in either a templated board(Labels are printed) on in a general-purpose LED board where the Label sare also displayed in the LED Display.
4. The hardware can be built to any specification, from ruggedness to Water and Tamper resistance, etc like IP65.
5. The Boards can be driven using RS422 / RS485 or Ethernet / Wifi.
6. The units can also be controlled remotely using a GPRS/3G Data TerminalUnit.
7. We offer Red, Red+Green, or Full-Color boards.
8. Our solution also includes the software for driving the boards with minimal human intervention. The software is written to be easy and intuitive to use.
Price & Quantity
Minimum Order Quantity
Tube Chip Color
Contact us for information regarding our sample policy
Main Domestic Market
AQI Data Display
This display offer to show Current Time and date from Satellite. Temperature and Humidity alongwith Various air quality parameter such as CO, PM2.5 and PM10 along with calculated Air Quality Index (AQI) depending upon the above parameters
It is important to communicate the effect of pollution to public and improve general awareness. Air pollution is a public health hazard showingshorterm effects and particularly bad long term effects.
Pollution Control Led Board
Traditionally, pollution measurements are performed using expensive equipment at fixed locations or dedicated mobile equipment laboratories. This is a coarse-grained and expensive approach where the pollution measurements are few and far inbetween. In this paper, we present a vehicular-based mobile approach for measuring fine-grained air quality in real-time. We propose two cost effective data farming models – one that can be deployed on public transportation and the second a personal sensing device. We present preliminary prototypes and discuss implementation challenges and early experiments.