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Masters Thesis | Electronics & Communication Engineering | India | Volume 11 Issue 7, July 2022
IoT Based Artificial Intelligence Controlled Environment Monitoring Robotic System
Monisha S Raju | Dr. Vijayakumar T
Abstract: In the recent years environmental safety has become one of the most concern in every part of the world.Breathing clean, fresh air has become nearly difficult due to the increase of air pollution. The Internet of Things is being used to measure and reduce contaminants in the environment. The Internet of Things (IOT) is a network of physical items comprised of intelligent devices for interacting and perceiving, or for changing human into computers or software for communicating with machines. The air filtration systems are frequently developed to measure and document an environment's present state or to create variations in environmental parameters. Asuggested robotic system that is built and installed to monitor environmental factors such as temperature, moistureand dangerous gas concentration. It has the ability to save statistics on the Blynk software IoT platform. A smart phone running an app created on the Android operating system controls the mobile robot. The entire system is accomplished using a low-cost ARM-based embedded platform named Arduino, which connects over a wireless connection to the IOT gateway, where data is saved, processedand accessible from anywhere using a laptop or any smart device.The system can update sensors, navigation and live stream date to IOT IP server every 5seconds and also give message alert to the user end about the atmospheric conditions. This multipurpose robotic system is capable of remote monitoring with no human intervention and keeping away environmental hazard risks.
Keywords: Sensor, Robotic Vehicle, IOT Platform, Arduino, Node MCU, Cloud server
Edition: Volume 11 Issue 7, July 2022,
Pages: 942 - 945
How to Cite this Article?
Monisha S Raju, Dr. Vijayakumar T, "IoT Based Artificial Intelligence Controlled Environment Monitoring Robotic System", International Journal of Science and Research (IJSR), Volume 11 Issue 7, July 2022, pp. 942-945, https://www.ijsr.net/get_abstract.php?paper_id=SR22714001717
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