The primary motive is to make a prototype to implement it into real time to make our campus a smart campus. Proposed work makes use of super-sensors which would sense and detect the environmental and physical conditions and report it through iot. These sensors enable us for more capability of collecting flexible data so that accordingly data can be processed. Also, this research work aims to deploy the proposed super-sensor system in a single class room of the campus. The project aims in designing a system which is capable of identifying the human presence using PIR sensor and automatically controlling the light based on LIGHT presence in the room using LDR. Also, the system will OFF the light, if motion is not detected. If the system detects smoke it will switch on the fan through DC motor. DHT11 is uses to detect the temperature and humidity. Each student has RFID tag    ; this system counts the students when the student shows the tag in front of RFID reader. The MQ-135 Gas sensor can detect gases like Ammonia (NH3), sulfur (S), Benzene (C6H6), CO2, and other harmful gases and smoke. Similar to other MQ series gas sensor, this sensor also has a digital and analog output pin. Fire sensor is uses to detect the fire. All these sensor data will be display on LCD and if the system detects any abnormal condition, it will activate the buzzer for alerts. The main controlling device of the project is PIC Microcontroller. Microcontroller will monitor the sensor data into the thingspek cloud along with date and time and it will be sending the alert mail in abnormal conditions through ESP8266 WI-FI module. To achieve this task PIC microcontroller loaded program written in embedded C language.

 

The major features of this project are:

• LDR and PIR based automatic switching of light.
• Smoke sensor-based fan control system.
• Automatic detection of human presence using PIR sensor.
• Over sound alert through Buzzer.
• DHT11 based temperature and humidity detection.
• MQ135 based CO2 detection system.
• Using FIRE sensor to detect the fire.
• Using RFID for students count.
• Visible alerts using LCD display.
• Relay based Device Switching.
• Using IOT for sending data into the thingSpeak cloud and also sending alert mail in abnormal conditions.

The project provides learning’s on the following advancements:

1. Sensors working and interfacing.
2. RFID reader module working.
3. IoT technology.
4. Relay working principle.
5. LCD working.
6. PIC microcontroller working.

The major building blocks of this project are:

1. Regulated Power Supply.
2. PIC microcontroller.
3. RFID reader and TAGS.
4. PIR sensor.
5. DHT11.
6. Smoke sensor.
7. Fire sensor.
8. MQ-135.
9. LDR sensor.
10. RELAY with light
11. Relay with Fan.
12. LCD display.
13. Buzzer.
14. ESP8266 WI-FI module.

  Software’s used:

1. PIC-C compiler for Embedded C programming.
2. PIC kit 2 programmer for dumping code into Microcontroller.
3. Express SCH for Circuit design.

   

   

Regulated Power Supply:    

     

 

Block Diagram:    

   

 

video: