Electricity prices are skyrocketing these days and there is a need to manage the consumption of electricity in a smart and efficient way. In this project Kinect sensors will be used to detect the motion of objects in a specific premises (room/corridor), the application will process the images from s
Smart Electricity Manager
Electricity prices are skyrocketing these days and there is a need to manage the consumption of electricity in a smart and efficient way. In this project Kinect sensors will be used to detect the motion of objects in a specific premises (room/corridor), the application will process the images from sensors and identify whether there is a human in the images or not? if there is a human and moving in/out then it will send a signal to turn on/off the lights or fans in the premises depending upon (s)he is entering or leaving the premises. The same can be used on the basis of temperature sensors to turn off /slow down the fans if it is hot inside the premises or vice versa. The readings from light sensors will be used to turn on/off the lights in the premises depending upon the when it becomes dark or bright in the premises due to sunlight. The coordination of the sensors can be handled by means of an Arduino or other similar board. The interface of the application can be provided through cross platform mobile application.
Project Implementation can be divided into two phases.
Hardware Implementation
Hardware Implementation involves connecting together input modules (sensors) processing unit (microcontroller) and output modules (Electrical appliances).
Sensors: Kinect Sensors, Light Sensors, temperature Sensors.
Microcontroller: Arduino board
Electrical appliances: Lights, Fans
Arduino board is connected to lights, fans and with Kinect, light, temperature sensors. Arduino board is connected to mobile application. Motion is detected by Kinect sensors and it will send signal to the application using Arduino board. Arduino board will switch on/off lights fans or slow down/speed up fan on the basis of signal from application. Arduino board will enable/disable sensors after getting signal from application.
Software Implementation
Software implementation includes development of the cross platform mobile application that will provide interface for controlling the system. Application will detect the human, direction of human by processing the images received from Kinect sensors using ML techniques. It will send signal to switch on/off lights fans or speed up/slow down fans on the basis of direction of human as well as on the basis of readings from light and temperature sensors taken using Arduino board. It will also allow admin to enable/disable sensors. It will allow users to manually control appliances when sensors are disabled, to check status of sensors, to view readings from light and temperature sensors.
From homes to offices to classrooms to anywhere the electricity is used and there is a need to use it judiciously, the implementation of a solution based on the prototype of this project can be quite beneficial.
The technical deliverables for this project can be split into three categories.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Kinect Sensor | Equipment | 4 | 10000 | 40000 |
| Light Sensor | Equipment | 6 | 1500 | 9000 |
| Temperature Sensor | Equipment | 6 | 2000 | 12000 |
| Arduino board | Equipment | 1 | 5000 | 5000 |
| Bulb | Equipment | 2 | 100 | 200 |
| Fan | Equipment | 2 | 400 | 800 |
| Fan speed controller | Equipment | 2 | 200 | 400 |
| Relay Module 4CH 5Volt * 2 : - for bulb and fans | Equipment | 2 | 500 | 1000 |
| Connector: - Jumper Wires Male to Male,male to female,female to female | Equipment | 2 | 250 | 500 |
| 12 V Battery | Equipment | 1 | 1000 | 1000 |
| Documentation Printing, integration, maintenance and travelling | Miscellaneous | 1 | 10000 | 10000 |
| Total in (Rs) | 79900 |
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