Smart Automated Conference Room System

Transcription

1 Smart Automated Conference Room System Prof. P. P. Chitte 1, R. R. Shinde 2, S. V. Thosar 3 1 Assistant Professor, P.R.E.C. Loni, India 2,3 Student, P.R.E.C. Loni, India Abstract: In video conference system different technologies are employed in order to track the location of the speaker. Audio tracking and video recording system plays an important role in video conferencing system. Currently, in video conferencing system uses the located at corner of conference room in such way that camera captures the entire member s or employees and their conversions available in conference room. This USB Webcam limited in one direction. Force the employees to face towards the camera throughout the meeting. This makes communication awkward. In this paper, we describe the new system In order to overcome this issue. To overcome this issue we design the automated video conference room system, placed at the center of conference table and use the two voice sensor to locate the speaker in order to capture the face of speaker or person currently speaking in conference room. To make video conference room fully automated, we also make a system which controls the light and AC of conference room. This system works in the presence of employees or persons. Whole system design on the platform of Raspberry pi controller and AVR microcontroller. Keywords: AVR Microcontroller, Conference room, Raspberry pi, USB Webcam, Voice Sensor. I. INTRODUCTION In video conference system different technologies are employed in order to track the location of the current speaker. Audio tracking and video capturing system plays an important role in video conferencing system. Currently, in video conferencing system uses the 6 LED USB Webcam or camera located at corner of conference room in such way that camera captures the entire member s or employees and their conversions available in conference room. This camera limited in one direction. Force the employees to face towards the camera throughout the meeting. This makes communication awkward. In this paper, we describe the new system in order to overcome this issue. To overcome this issue we design the automated video conference room system, placed at the center of conference table and use the two voice sensors or microphones to locate the speaker in order to capture the face of speaker or person currently speaking in conference room. To make video conference room fully automated, we also make a system which controls the light and AC of conference room. This system works in the presence of employees or persons. Whole system design on the platform of Raspberry pi controller and AVR controller. AVR controller controls the electrical devices of conference room system i.e. AC and light of conference room. Also, AVR controller controls the motor unit. USB camera is mounted on motor unit. This camera is directly connected to Raspberry pi board to capture the videos and send to server via wireless USB micro adapter. A. Problem Definition To move camera according to speakers location manually in conference room is time consuming and costly process. To overcome this problem we establish the system that automatically tracks current speaker and record videos. B. AIM OF PROJECT The aim of this project is to find Direction of Arrival of the voice source and Develop of an automated sound tracking and video recording system for capturing the Current speaker in conference room. It also controls the Temperature and Room Light of conference room according to person s requirement. II. BLOCK DIAGRAM AND DESCRIPTION Block diagram contains following modules given below: Raspberry pi. AVR Microcontroller. Temperature Sensor. LDR. USB Webcam (Camera). Voice sensor (Transducer). Wireless USB micro adapter DC motor. All the modules are shown in block diagram as follows: 591

2 Figure 1: Block Diagram This system consist of Raspberry pi board (i.e. ARM11 Platform), AVR microcontroller, two voice sensors (Transducer), one Temperature sensor(lm35), one Light dependent resistor (LDR) sensor DC motor, 6 LED USB Webcam and Wireless USB Micro Adapter. Whole System is divided in two major parts i.e. i. Video conferencing system. ii. Control electrical devices i.e. control Airconditioner and Temperature of conference room. All the modules of block diagram are explained in detail as follows: A. Raspberry pi module The first major part of system works mostly on Raspberry pi controller i.e. video conferencing system. Raspberry pi controller is directly connected to USB Webcam and Wireless USB Micro Adapter. Raspberry pi controls the webcam unit and wireless adapter unit with respect to the AVR controlling action on motor unit. B. AVR microcontroller The second major part i.e. controlling electrical equipment s of conference room is work on the AVR controller. The voice sensor units, Temperature sensor unit, LDR sensor unit, DC motor unit connected to AVR microcontroller in order to control the respective work. AVR takes all the outputs from the sensors and control the room temperature and Lights of conference room. The AVR is a Modified Harvard architecture 8-bit RISC single chip microcontroller (µc) which was developed by Atmel in The AVR was one of the first microcontroller families to use on-chip flash memory for program storage, as opposed to One-Time Programmable ROM, EPROM, or EEPROM used by other microcontrollers at the time. Technical Details of AVR- High-performance, Low-power AVR 8-bit Microcontroller Advanced RISC Architecture 131 Powerful Instructions Most Single-clock Cycle Execution 32 x 8 General Purpose Working Registers On-chip 2-cycle Multiplier 32K Bytes of In-System Self-Programmable Flash Endurance: 10,000 Write/Erase Cycles In-System Programming by On-chip Boot Program Bytes EEPROM\ Endurance: 100,000 Write/Erase Cycles 2K Byte Internal SRAM JTAG (IEEE std Compliant) Interface Extensive On-chip Debug Support. C. Temperature sensor We use LM35 temperature sensor to sense the temperature of conference room and take controlling action if needed. When the room temperature increases above the threshold value, LM35 read this value and send to the AVR microcontroller. AVR microcontrollers compare it with threshold value, depends on the reading it takes action, whether to on or off the AC. Figure 2: Raspberry pi board Raspberry pi controller gets video input from camera. This captured video is directly displayed on computers via Wireless USB adapter. To see this video on the server you must know the IP address of Wireless adapter. We have use Raspberry pi model c as shown in figure2. Figure 3: LM35 Temperature Sensor 592

3 D. Light Dependent Resistor A Light Dependent resistor is also called a Photo resistor. It is basically a photocell that works on the principal of photoconductivity. The passive component is basically a resistor whose resistance value decreases when the intensity of light decreases. LDR controls the Lights of conference room with the help of AVR microcontroller. The innovative micro-design is compatible with the latest in wireless connectivity and the tiny size makes it hardly noticeable when plugged into a laptop's USB port. This device create wireless network server. By searching the IP of this device we can see the live video streaming of video conference room. Figure 7: USB micro Adapter E. USB Webcam Figure 4: Light Dependent Resistor Sensor. USB Webcam is mounted on the motor unit in order to capture the current speaker. The motor unit is controlled by the AVR microcontroller in accordance with voice sensor. The USB Webcam is connected to Raspberry pi controller. Webcam capture the video and send to the Raspberry pi board. Raspberry pi controller sends this video on server to see the conference activities by the absent employees in conference room. H. DC motor The DC motor unit works under the control of AVR microcontroller. According to voice input to AVR controller controls the rotations of DC motor, either forward or backward. Both the Voice sensor units and motor unit works together under the control of AVR microcontroller. Figure 8: DC motor F. Voice sensor module Figure 5: USB Webcam. This is used to track the voice of speaker taking in conference hall. Voice sensor gives voice output to AVR, depends on Voice sensor output AVR rotates the motor to rotate the camera towards the current speaker. Figure 6: Voice Sensor module G. Wireless USB Micro Adapter Wireless USB Adapter is perfect to connect your laptop to Wi-Fi hotspots while on the go. DC motors are so called because they are powered by a current placed across the electrodes of the motor. The speed rating of a DC motor is the top speed it can run at. The actual speed the motor runs at is a function of how strong the current is that is applied to the motor. DC motors can be run both forwards and backwards depending on the direction of the applied current. III. SOFTWARE USED AVR Studio4- Coding DIPTRACE- Simulation. IPScan24- TO scan IP of wireless USB adapter Used for Raspberry pi installation process: Putty Ximing6-9. Windows32Diskimager IV. Advantages ADVANTAGES AND DISADVANTAGES It is fully automatic video conference room system. Need of the human power in the remote field is reduces. 593

4 Video recording is automatically focused on person talking at present. It can be used in point to point video conferencing. Need of zoom controllable camera a reduces, cost reduces. Disadvantages High cost due to video conferencing. Hazard failure may occur. System complexity increases as we point to multipoint video conferencing. Application V. APPLICATION AND FUTURE SCOPE This architecture is very useful in automated recording in Conference Room. This can be used to automatically record meetings, discussions and online emitting as well. This can be used in automatic lecture recording. It can be used for automated lecture capture, Navigation and deliver y system for Web - lecture on demand. It can be used for Point to Point Video Conferencing using web. Future scope Showing the audience members who are asking questions is important to make useful and interesting lecture videos. Because the audience area is usually quite dark and audience members may sit quite close to each other, tracking audience using computer-vision-based technique will hardly work. A better sensing modality is based on microphone arrays, where audience-tracking VC first estimates the sound source direction using the microphones and then uses the estimation to control the active camera. VI. RESULT Location of current speaker can be obtained automatically by tracking the voice. Voice of current speaker is tracked by using voice sensors. Depend on voice the motor rotates in the speaker direction. Figure 9: Simulation Design As the camera is mounted on motor it simultaneously moves towards speaker and send this conversion on server via Wi-Fi dongle using raspberry pi platform. By tracking the IP address of device we can see the conversion between the employees seat in the conference room. VII. CONCLUSION We can design automated conference room system that automatically tracks the sound of current speaker by using the voice sensor and display the conversion between employees on the server. To see conversion between conference rooms we must know the IP. System also controls the Temperature of the conference room using temperature sensor LM35 and Room Light of conference room using LDR. REFERENCES [1] AUTOMATED VOICE TRACKING CAMERA SYSTEM AND METHOD OF OPERATIONS by joonyoulmaeng, Errol R.williams ( forgent networks inc.) Appl No.08/509,228 july [2] Micheal S. Bradstein and Harvey F Silverman, A new time-delay estimator for finding source locations using a microphone array, technical report LEMS-116 Mar.1993 pub no WO/1996/

5 [3] M Zhang & M H Er, An Alternative Algorithm for Estimating and Tracking Talker Location By Microphone Arrays Journal of audio engineering society, USA, Vol. 44, No. 9, pp , September [4] J. York. (2008 Fall). Acoustic Source Localization [Online]. Available: h/completedprojects/webpages/fl08/joshuayork/index.html. [5] Voice Tracking Camera Video Conferencing of the Future By Zachary Knudsen, Jason Lessans, and Michael Scholl. Electrical and Systems Engineering Department, School of Engineering and Applied Science, Washington University in St. Louis May [6] Rotating Camera Based on Speaker voice Setu Garg1,Sandeep Tiwari2, Shantanu Singh Chauhan3, Shivam Singh4, Suhel Ahmad5 Associate Professor, Dept. of EI, Galgotia College of Engineering, Greater Noida,Uttar Pradesh, India1 Student, Dept. of EI, Galgotia College of Engineering,Greater Noida,Uttar Pradesh,India2,3,4,5. [7] b&cd=2&ved=0ccmqfjab&url=http%3a%2f%2fwww.atmel. com%2fimages%2fdoc2467.pdf&ei=b0iivz6tomseugth_4hw Aw&usg=AFQjCNF3t01Cqup-vBltXsh5KIyckg- Tkw&bvm=bv ,d.c2E. [8] b&cd=1&ved=0cb0qfjaa&url=http%3a%2f%2fwww.atmel.c om%2fimages%2fdoc2466.pdf&ei=d0iivfvif9ekuat9_odybg &usg=afqjcngtlh16aml6wbbc6cncbacs1rxtqa&bvm=b v ,d.c2e. [9] b&cd=1&ved=0cb0qfjaa&url=http%3a%2f%2fwww.atmel.c om%2fimages%2fdoc2466.pdf&ei=d0iivfvif9ekuat9_odybg &usg=afqjcngtlh16aml6wbbc6cncbacs1rxtqa&bvm=b v ,d.c2e [10] he+speed+rating+of+a+dc+motor+is+the+top%22&source=lnt& tbs=cdr:1&gws_rd=cr,ssl&ei=hkmivb-adyy0uat57ogqdg. [11] [12] Automating Lecture Capture and Broadcast: Technology and Videography. 595