Umm Al-Qura University Collage of Computer and Info. Systems Computer Engineering Department Automatic Camera Tracking System IMPLEMINTATION CONCLUSION This project is for improving the camera systems that capturing many speakers talk using audio signal processing techniques to determine the active speaker and rotate the camera toward him. It can be used in many fields (Classrooms, online conference, meeting room). In the future we will integrate the system into one device with the same performance which will make it portable and more efficient. ABSTRACT The project idea is to design a system that can be able to capture video stream for more than one speaker using only one auto steering camera controlled by a computer program. This project can be used in many fields like online meetings,conferences and classrooms. This idea implemented based on the Sound Source localization techniques (SSL) which use the sound’s amplitude to identify the current speaker. The project aim to improve the camera recording systems in cases that contain several speakers. The main tasks are first select the speaker and then directing the camera towards him during the capture period and repeat the process when another speaker start talking. MOTIVATION Traditional camera systems are low efficiency and high cost in the case of multiple speakers, because they need a camera to each speaker and director for the coordination between the cameras. As computer engineers we aim to facilitate and improve the people’s life by providing solutions using advanced technology to solve problems. This gives us the motivation to design a computer system that overcome this problem and offers new capabilities for human- computer interaction. Mohammed Yaseen Almanna Saleh Hadi Al-Shahrani Ali Al-Hatmi Abdulrahman Mahjoub Mohammed Al-Malki SUPERVISOR Dr. Majid Al-Gethami The core processing power take place in a MATLAB program. Matlab use Digital Signal Processing (DSP) and Data Acquisition (DAQ) Toolboxes to process the audio stream signals. By cutting the received signals into FRAMES then apply quantization techniques we can find out the highest peak in each frame that allow us to determine the highest amplitude using DSP methods, after applying these steps frame by frame in loops called steps, the algorithm find out the speaker. After many experiments and tests we reach the highest accuracy decision that made our project accurate, simple and efficient with error rate less than 1%. The program divided into 2 Phases: First Identify the microphones and assign the parameters that considered as the keys for an accurate decision making. Identify the arduino and the servo motor and assign the control pins. Second apply the (Step) Process on the three audio streams. TEAM & SUPERVISOR 1- 3 microphones capture the audio and send the signals to the computer using USB Hub. 2- The USB Hub receive the signals and send it to PC in serial connection. 3- PC receive signals from USB Hub and apply the processing algorithms on them using MATLAB determine the speaker by calculating the highest amplitude then send the speaker position to Arduino microcontroller. 4- When Arduino receive the speaker ID signal it rotate the servo motor toward the speaker direction using predefined angels based on number of speakers which represent the microphones constant directions. 5- A camera fixed on servo motor face the speaker and send the video to the PC using serial connection. SYSTEM DESIGN BLOCK DIAGRAM COMPARISON