Page 70 - B.E CSE Curriculum and Syllabus R2017 - REC

Department of CSE, REC

and then opens door automatically depending on the human sensing input detected. Also the system keeps
track of lighting conditions in the room and depending on the lighting needed system switches lights to get
desired illumination. Also system tries to detect number of humans present in room and then operates the
lighting accordingly. All sensor data including pir as well as light illumination data is constantly transferred to
the pi processor for processing which takes necessary actions as and when needed.

5. Image Processing Based Fire Detection Using Raspberry Pi
The main advantage of Image Processing Based Fire Detection System is the early warning benefit. This
system can be installed just about anywhere in a commercial building, malls and at many more public places
for fire detection. This system uses camera for detecting fires. SO we do not need any other sensors to detect
fire. System processes the camera input and then processor processes it to detect fires. The heat signatures and
fire illumination patterns are detected in images to determine if it is a fire and take action accordingly. On
detecting fire system goes into emergency mode and sounds an alarm. Also displays the status on the LCD
display informing about the system.

6. Raspberry Pi Home Automation Project
This is the era of automated homes and offices. Our proposed system puts forward a gull fledged home
automation system using Raspberry Pi to control appliances. We here allow the user to easily control home
appliances using an android phone. The android application sends user commands provided through GUI for
home appliance control using Bluetooth. These commands are captures on our circuit board using a Bluetooth
receiver. The receiver then forwards the commands to the Raspberry Pi board which is used to process these
commands and then switch on/off appliances as per user specified commands. The circuit consists of relay
based circuit which acts as switches for individual AC loads. Based on commands received by the receiver,
the raspberry processor processes the commands and then switches relays accordingly to switch on/off
required loads on the circuit. We use a transformer to provide required supply to our board. Thus we
demonstrate a real time home automation system using raspberry pi.

7. Motion Activated Wildlife Recording Camera Using Raspberry Pi
Getting wildlife footage is a difficult task. Cameramen need to wait for hours or even days without moving to
get desired footage. Here we propose an automated system with a motion activated recording camera that
starts recording only when motion is detected. This has a lot of advantages. To get the right moments footage
the camera needs to be kept in recording mode for entire days or nights. Well this system saves battery as well
as storage as it only records footage when motion is detected. The system consists of motion sensor with
camera and sd card circuit interfaced to a raspberry pi. The pi is used to process the sensor input to detect any
motion. The camera recording is kept off if no motion is detected. As soon as motion is detected the raspberry
pi records footage of the motion and again stops recording when motion is not detected which is saved in the
memory card for later viewing. Thus we get only desired footage from the camera thus saving unnecessary
battery as well as storage space.

8. Raspberry Pi Vehicle Number Plate Recognition
Recognizing vehicle number plates is a difficult but much needed system. This is very useful for automating
toll booths, automated signal breakers identification and finding out traffic rule breakers. Here we propose a
Raspberry Pi based vehicle number plate recognition system that automatically recognizes vehicle number
plates using image processing. The system uses a camera along with LCD display circuit interfaced to a
Raspberry pi. The system constantly processes incoming camera footage to detect any trace of number plates.
On sensing a number plate in front of the camera, it processes the camera input, extracts the number plate part
from the image. Processes the extracted image using OCR and extracts the number plate number from it. The
system then displays the extracted number on an LCD display. Thus we put forward a fully functional vehicle
number plate recognition system using Raspberry Pi.

9. Voice Controlled Home Automation Using Raspberry Pi
We have reached the era of home automation. We have systems that allow you to control your home
appliances using smart phones and remotes. Here we propose an automated home automation that works on
speech processing. System eases the home automation task by listening to user’s speech and switching

Curriculum and Syllabus | B.E. Computer Science and Engineering | R2017 Page 70