Developing fish feeder system using Raspberry Pi

Automatic room light control with visitor counting for power saving applications and monitoring over internet of things (IOT)


With the proliferation of Internet of Things (IoT) devices such as smartphones, sensors, cameras, and RFIDs, it is possible to collect massive amount of data for localization and tracking of people within commercial buildings. Enabled by such occupancy monitoring capabilities, there are extensive opportunities for improving the energy consumption of buildings via smart HVAC control. In this respect, the major challenges we envision are 1) to achieve occupancy monitoring in a minimally intrusive way, e.g., using the existing infrastructure in the buildings and not requiring installation of any apps in the users’ smart devices, and 2) to develop effective data fusion techniques for improving occupancy monitoring accuracy using a multitude of sources. This paper surveys the existing works on occupancy monitoring and multi-modal data fusion techniques for smart commercial buildings.

In this project, for the occupancy collection of data, IR sensors are used for the detection of existence of the persons and it will count the people in the buildings entering. At the exit also the sensor is used to reduce the count as they are out of the building. The sensor is IR pair, Infra Red made of LED and A Photo Transistor. This enhances the occupancy data in the buildings, leading to the smart buildings. This data will be displayed on the Phone / computer using IOT module.

The occupancy will be displayed on the LCD. LCD 16*2 is interfaced to the controller used. The IOT module is interfaced to the controller to send the information of occupancy to the concern person or the authorities of the smart buildings. This project output can be checked in the Android mobile Phone or In the computer.

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