A Review on Various Motion Detection and Home Automation using Cayenne
Mukesh Pimpalkar1, Saurav Tiwari2, Sakshi Rahangdale3, Kashifa Sheikh4, Punam Rajput5, Suraj Mahajan6
2Computer Science and Engineering, TGPCET, Nagpur, India
1Computer Science and Engineering, TGPCET, Nagpur, India
3Computer Science and Engineering, TGPCET, Nagpur, India
4Computer Science and Engineering, TGPCET, Nagpur, India
5Computer Science and Engineering, TGPCET, Nagpur, India
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Abstract - Home monitoring and automation are used to assist maintain cozy living conditions inside a home. There are various forms of comfort requirements for people in their houses. The most important of these categories is thermal comfort, which has to do with temperature and humidity. This is followed by visual comfort, which has to do with colors and light, and hygienic comfort, which has to do with air quality. These parameters can be monitored by a system to assist keep them within a reasonable range. Making the house smarter also entails enabling the intelligent automatic execution of a number of orders after analyzing the data gathered. The Internet of Things can be used for automation (IoT). As a result, the resident has access to specific home data and can remotely manage a few settings. The entire design of an Internet of Things-based sensing and monitoring system for automated smart homes is presented in this study. The CAYENNE platform is utilized in the proposed architecture for data collection, data visualization, and remote control of household appliances and devices. The chosen platform is incredibly adaptable and simple to use. The NodeMCU-ESP8266 microcontroller board, which enables real-time data sensing, processing, and uploading/downloading to/from the server, is used to sense various variables inside the home.
Key Words: Motion detection, CAYENNE, internet of things, automation, microcontrollers.
