object detection and tracking system using raspberry pi 3
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in Central Asia. This study adheres to the empirical epistemological method and has taken care of
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Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
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3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
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2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
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- 1. Object detection and tracking system Done by :Oraib Daas Safa Shehada Supervisor :Dr. Ashraf Armoush Dr.Emad Natsheh
- 2. Introduction Object detection and tracking system is vast and complex area of computer vision where robustness, accuracy and run-time performance are of critical importance, due to increase its utilization in monitoring , security and many other application .
- 3. Motivations People are looking for a way to ensure their safety . Detection for moving object is a very challenging for any video surveillance system. Object Tracking is used to find the area where objects are available and shape of objects in each frame in higher level application
- 4. Hardware components Raspberry Pi 3 modal b Raspberry pi camera Arduino Uno H-Bridge DC motor Step-down converter
- 5. Methodology
- 6. Raspberry pi camera Raspberry Pi 3 modal b
- 7. It’s used for serial communication o Arduino Uno
- 8. H-Bridge It’s control DC motors to run forwards or backwards. And it enables a voltage to be applied across a load in opposite direction
- 9. DC motor It rotated in such a way that wherever the object moves.
- 10. Step-down converter which steps down voltage (while stepping up current) from its input (supply) to its output (load). We use it because the DC motors voltage is 12v and the Raspberry pi is 5 volt.
- 11. Final Design
- 12. Challenges Difference in voltage levels between Raspberry Pi and Arduino, where output voltage level from Raspberry Pi 3.3 volts is the input voltage for Arduino that works on 5 volt .so, we solved this problem using level shifter.
- 13. Raspberry Pi has burned two weeks before the project ended because of the high temperature that caused by the image processing. Then we ordered another one, which literally means more money to pay
- 14. Future work Our future work will focus on make this project work with more functionality as detect different shapes and faces
- 15. Conclusion The objective is to build a model that can detect and track the object depend on a specified color and that works on the basis of visual data captured from a typical camera which has a fair clarity.
- 16. Project Demo