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Traditional methods of air quality monitoring include bulky and expensive monitoring stations, hence...
Traditional methods of air quality monitoring include bulky and expensive monitoring stations, hence are less densely deployed and also provide low resolution sensing data.
These limitations restrict air quality monitoring to a finite area, and hence air pollution monitoring in broader area is not feasible.
Conventional pollution monitoring methods lack temporal and spatial resolution...
Conventional pollution monitoring methods lack temporal and spatial resolution of information’s and are also not economically sustainable.
Current solutions offer specific dataset for a sole station. But there is a need for multiple data points to have a holistic view across the city.
Lack of precise and spatial resolution of data can lead to false alerts and warnings exposing citizens...
Lack of precise and spatial resolution of data can lead to false alerts and warnings exposing citizens to higher levels of pollution than the official statistics.
Lack of information due to absence of any early warning system keeps people and governments ignorant about the quality of air, restricting them to take any action in the event of increased pollution.
Low cost and portable systems can be easily clamped to any pole and walls, in critical regions of the city. Feasible for large-scale deployment of the systems.
Visualize the intensity distribution of different pollutants across the region and get high spatio-temporal air quality information captured by the sensor nodes.
Analyze and review the sensitive air quality data continuously to trigger warnings for the citizens notifying a rise in pollution level.
Deploying an intelligent network of sensors to elevate the quality of urban living.
Improving and raising resident's awareness about the importance of healthy air in hospitals, schools and communities.
Industries can leverage the Aurassure platform in real-time, for fenceline monitoring and draft effective environmental policy.
Monitoring compliance and standards to achieve environment & health benefits of workers in construction areas.
Research communities can utilize the data for various state of art algorithm development and publication works.
Easily determine and estimate the exposure of air pollution on health and the environment.
Ensure your city meets the compliance with national ambient air quality standards.
Spatial analysis of places helps identify areas and sources contributing to air pollution.
Raise the information level of citizens through display boards and send periodic notifications and alerts to individuals sensitive to health whenever air quality deteriorates.
