WEEK 8 FYP2

 

Submitting Draft

    In week 8, i am completing my Chapter 4 thesis draft to my supervisor for him to check so that i can do a correction if I got mistake in my report writing. In this chapter, there are several aspects that have been considered in the making of the automatic whiteboard cleaner. The Ultrasonic Sensor from our prototype detect the obstacle in front of it and the Colour Sensor is to detect the ink residue on the whiteboard and send the input to the microcontroller (Arduino Nano) then the data are sending the signal to the motor driver. The expected result of this project are in this chapter.

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WEEK 7 FYP2

 

TROUBLESHOOT MOTOR DRIVER

    In week 17, the motor driver at my prototype did not turn on. i have check the connection on the stripboard and all the connection are okay. I run a few test at all the components and turn out the motor driver are actually broken.

    i have decided to change the motor driver to a new motor driver and the new motor driver are turn on and can run the prototype. 

    figure above show the motor driver thati use to run my prototype.

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WEEK 6 FYP2

Experimental Prototype

 In week 6, after I completing my hardware prototype I am doing my testing for my prototype. The prototype on the whiteboard with the size of the whiteboard is 20inches long and 20inches width. The prototype of this whiteboard cleaner are being tested on this whiteboard. 3 Figure below shows the prototype that being tested on this whiteboard.

    The whiteboard are clean after testing the automatic whiteboard cleaner prototype. This prototype only takes around 10seconds to clean the marker stains on the whiteboard.

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WEEK 5 FYP2

 

Hardware Development

    In week 5, I am developing the hardware already. The project are designed to make is friendly to the user and make it portable so that the teacher can bring this automatic whiteboard cleaner from class to another class. The design of this automatic whiteboard cleaner are the combination of Arduino Nano, ultrasonic sensor, colour sensor, motor driver and DC motor to make the whiteboard cleaner easy to move around the whiteboard.

    The prototype are attached to each other on the duster itself. This prototype are using battery as the power supply to move this automatic whiteboard cleaner and also to make it portable and wireless. The toggle switch are connected in series with the battery because it can be a semiconductor to the circuit. The switch are used to turn on and turn off the prototype.

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WEEK 4 FYP2

 

Software Developement

In week 4, i am doing my coding for my colour sensor. Colour sensor are used to detect the remains stain at the whiteboard after the cleaning. The colour sensor are controlled by the arduino nano and give feedback to the motor driver to control the movement at the whiteboard.

    From Figure above , pin S0,S1,S2,S3 are defined as the output of the colour sensor and sensorOut is the input to detect any colour. S0 and S1 act as the output frequency scaling selection inputs and S2 and S3 as the selection input for photodiode type. The frequency scaling of the colour sensor are also set to 20%. This frequency-scaling feature optimizes the sensor's performance for different frequency counters or microcontrollers.

    Figure show the program to set the frequency scaling to detect black colour. The reason why to detect the black colour is because black colour marker pen are commonly used at the whiteboard. When the sensor detect the black colour, the reading of the black colour will be display at the serial monitor. The threshold for the black colour are determined from the reading at the serial monitor.

    

    The threshold for black colour is around the value 80 and 90. The relationship between colour sensor and motor is, if the reading is between 80 and 90 that is mean the colour sensor detect the dirt left on the whiteboard. The colour sensor will send input to the motor so that the motor will move forward and backward two times to make sure the whiteboard are cleaned.

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