AI In Pollution Control
People are taking a much keener interest in the level of pollution near their home and where they live. Millions of people are adversely affected by air pollution worldwide. Air pollution and climate change transcend national borders and the only way to respond to these global problems is with global solutions.
We need to find new solutions and new ways of doing things so that the world is sustainable, and obviously, that links through to our planning process. Artificial intelligence is a functional approach to handle and mitigate air pollution. AI can collect sensor and satellite data and help researchers in climate model blending.
Following are some of the applications of AI for cleaner air:
- Artificial intelligence has the capability of improving collection and qualitative measurement data. AI can accurately find patterns in data sets for better analysis.
- AI and IoT can provide tools to monitor air pollution in real-time. AI technology can discover sources of air pollution quickly and accurately. For example, the source of a gas leak in an industry can be identified using smart sensors and remedial measures can be applied effectively.
- AI can predict the air quality in the future and guides respective agencies to take necessary actions beforehand.
- Artificial intelligence can provide actionable maintenance insights for sensors and other equipment used.
- Government organizations and commercial enterprises can benefit hugely from AI technologies to monitor air purity levels and alert employees if air quality falls below a certain level.
- AI can help reduce air pollution in the automobile zone. The AI technologies enable autonomous cars to be fuel-efficient. AI-powered traffic lights can also contribute to minimize air pollution. We can use machine vision to adjust to the flow of traffic, minimizing the driving time.
Use Cases of AI for clean air:
- IBM researchers are working with the Beijing government to tackle air pollution and monitor environmental health using artificial intelligence. Researchers are leveraging machine learning and cognitive abilities to improve the quality of forecasts. AI can help anticipate the level of air pollution 10 days in advance. Scientists are integrating AI technologies to do scenario analysis and take required actions such as traffic control, plant shutdowns, and more.
- Scientists at Loughborough University in the UK have developed an AI-based model that predicts air quality ahead of time. The model analyzes sensor data and helps policymakers comprehend the causes and ways to reduce air pollution.
- Breeze Technologies is a startup located in Hamburg that develops AI-based air quality sensors. The company helps in understanding air quality, highlights factors influencing air quality, and provides measures of improvements using machine learning. Breeze technologies have collaborated with Microsoft to explore new ways of applying AI to mitigate air pollution.
- CleanAir.AI is a Canadian IoT startup that uses AI-based technologies to provide air filtration for homes and buildings. The company uses AI and IoT to provide actionable insights on air quality indoor and outside building, deliver cleaner air, and save energy.
- GSMA, a London-based company, is utilizing mobile, IoT and machine learning to address rising air pollution problems. They are taking assistance of the mobile industry and advanced machine learning techniques to gather data and finding patterns in data.
To Conclude
One of the most serious issues humanity faces today is that regarding health and well-being in terms of air quality. The levels of harmful emissions in our environment are on the rise with ever-increasing activities of urbanization and industrialization. Luckily, further breaks in the mold of technology in the form of the Internet of Things and Artificial Intelligence can come together to help answer this steadily increasing concern. These technologies can be used directly at source to monitor, analyze, and abate harmful emissions of harmful chemicals, contributing to cleaner air and a healthier ecosystem.
What AI technology helps trace the actual sources of pollution and allows for quicker and accurate intervention. In effect, given real-time data from sensors and satellite images, AI identifies different patterns and presents actionable insights to governments, industries, and environmental agencies to make timely decisions and effective strategies on pollution, like streamlining traffic flow or optimizing industrial processes.
AI can save our planet. The more these technologies are developed and deployed in this space, the better they can be the lifeblood in fighting this menace that needs to prevent carbon footprinting and curb emissions of greenhouse gases and ensure sustainability in practices. In a nutshell, AI and IoT represent a breakthrough solution that can revolutionize the fight against air pollution and create a cleaner healthier future for all.