CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
Best Paper winning PPT
1. International Conference’14
On Electrical, Electronics, Computer Science and Mechanical Engineering – ICEECSME
Research paper on
Intelligent Wireless Video Monitoring
System Using Computer
(EECSMEBNGLR-23039-055)
Department of Electronics and Communication Engineering
Nitte Meenakshi Institute of Technology
Yelahanka, Bangalore- 64
2. Authors
Kamal Lamichhane
Kiran .M
Avanee Bhat. M. V
Ashwin Chapte
(B.tech Students, NMIT Bangalore)
Under the Guidance of
Prasanna Paga
Assoc. Professor, Dept of ECE,NMIT Bangalore
3. INTRODUCTION
To develop efficient wireless video monitoring system.
The principle of remote sensing is utilized in this project to
detect the presence of any person who is near to the
reference point i.e. restricted point within the zone.
A video camera collects the images from the reference
point and the collected images will be transmitted to the
monitor.
When a person comes nearer to the restricted point, the
particular reference point energizes the intelligence system
to rotate the video camera towards the particular reference
point.
4. Why wireless video surveillance
Can be used to monitor remote location.
Can be used in locations where wired
infrastructure doesn’t exist.
Less expensive than wired solutions.
Video images can be transmitted over a
network
5. Research has predicted that wireless video surveillance
market will almost double up by 2017 globally
6. PROPOSED SYSTEM
The video surveillance unit is designed for the portability
and the widest possible viewing range.
The unit consists of a stepper motor that drives the camera
towards the reference point automatically and a transmitter
section which will transmit the images collected by the
camera to a distant end.
The robotic action made by the stepper motor is attached
to the camera, this allows surveillance of maximum area
with just one single camera.
When the human body interrupts the transmitting signal,
then the signal is reflected and this reflected signal is
received by infrared receiving LED.
7. Block diagram showing the system
Reference points
/sensing circuits
Complete circuit
Reference points
/sensing circuits
Reference points
/sensing circuits
8. Hardware Requirements
1. Infrared transmitter and receiver
2. Stepper motor
3. Computer
4. AM transmitter
5. High resolution Video camera
6. LEDs etc.
10. INFRARED SECTION
The infrared proximity detection system is designed
for detecting the presence of a person who is inside the
restricted zone within the range.
PNP transistor with modulating frequency of about
10kHz drives a high efficiency IR-LED.
The function of the detector circuit is to radiate the
energy into space through IR-LED and detecting the
echo signal reflected from an object.
Portion of the transmitted energy is intercepted by the
target and re-radiated in multiple directions and this
energy is collected by the receiving LEDs and is fed to
the computer.
Working
11. When the computer receives the signal, it drives a
stepper motor towards a particular reference point.
Sensing Circuit
12. STEPPER MOTOR AND COMPUTER
The computer plays a major role by identifying and
locating the interruption made by the human body.
Based on this input the computer directs the stepper
motor control system to follow the obstruction.
All the software's required for the functioning of this
module is developed using C language.
The computer also displays the video footage of the
person moving in that particular region.
The function of each and every subsystem is
developed, programmed and controlled by the
computer.
13. If any obstruction, interrupts any of the predefined
reference zones, the computer energizes the alarms
followed by focusing the camera towards the
interruption and records the proceeding.
Relay Circuit
Stepper motor ckt
14. TRANSMITTER
The output of the video camera which is pure
composite video signal and is fed to the AM
transmitter.
AM transmitter consists of three sections:
1. VHF Oscillator
2. Modulator
3. Final stage amplifier
Working
17. FUTURE WORK
We can implement the tracking algorithm to detect
multiple intrusions at a time.
Image database of the potential intruders can be included
in the system and facial recognition algorithm can be
implemented to match the intruders with the information
in the image database.
As wireless video surveillance systems evolve, they will be
integrated both with inputs from other types of sensing
devices and also with the information about the space in
which the system is operating thus providing a very rich
mechanism for maintaining situation awareness.
18. CONCLUSION
A system design for wireless video surveillance,
including video capture with automatic camera control
and data transmission is achieved through this project.
Wireless camera based surveillance systems transform
video surveillance from a data acquisition tool to
information and intelligence system.
Real time video analysis provides smart surveillance
system with the ability to react to a real time activity.
19. REFERENCES
R. Collins et al. (2000) “A system for video surveillance and monitoring,” VSAM Final
Report, Carnegie Mellon University, Pittsburgh, PA, Tech. Rep. CMU-RI-TR-00-12
R. T. Collins, A. J. Lipton, T. Canada, H. Fujiyoshi, D. Duggins, Y. Tsin, D. Tolliver, N.
Enomoto, O. Hasegawa, P. Burt and L.Wixson (2000). A system for video surveillance and
monitoring Carnegie Mellon University, Pittsburgh, PA, Tech. Rep., CMU-RI-TR-00-12.
E.M.S. Ulsubas and A.K. Katsaggelos, “A Resolution Adaptive Video Compression
System” Intelligent Multimedia Communication: Techniques and Application, vol.
280/2010: Springer Verlag pp.167-194, 2010.
Cher-Shiung Tsai; Kun Shan Univ., Tainan, Ming-Yuan Guo, Chein-Hua Chang, Shu-Yin
Jiang “A VHF Oscillator design based on BJT Active Load Differential Amplifier”.
Haydon motion solutions “Stepper motor theory”
http://www.haydonkerk.com/Resources/StepperMotorThoery/tabid/192/Default.aspx
Bo Wang, Inst. Of Inf. Eng., Huanghe Sci. & Technology Coll., Zhengzhou, China, Liping
Li, Chunyu Zhao “Design and implementation of a new infrared transmitter and
receiver.”
22. Infrared working
•High efficiency IR-LED is driven by PNP Transistor SK100 with a
modulating frequency of about 10 KHz. Frequency is available from Pin
5 of LM 567 IC (versatile PLL tone decoder IC). The 47W resistor
connected in series with the IR LED limits the IR-LED current.
•The radiation directed back towards the system is collected by the
receiving LED causes to produce a high signal at Pin No.8 of LM567 IC.
The output of the receiver is fed to the computer.
•When the computer receives a high signal from the reference area, the
computer drives the stepper motor through the driving transistors and
rotates the motor towards that particular reference point.
23. Transmitter working
The transmitter circuit generates a continuous frequency
of 100MHz approximately, that is used to form a permanent
link between the transmitter and receiver, and this is
known as carrier frequency.
The output of video camera is fed to this carrier input as a
modulating wave. This is a frequency modulated radio
transmitter. The radiating power of the transmitter is less
than 20mw, such that the range between transmitter and
receiver can be less than 25 feet.
In the amplifier section 2 N 3866-NPN Transistor is used to
amplify the input signal.