The design criteria for this project was that the car can start and operate through user-specific voice recognition. Additionally, the availability of any existing programable circuit boards such as Arduino Uno or Raspberry Pi circuits, which can be programmed through software, are required to successfully construct this prototype. Another criteria for this robot is the need for motors with which the robot can execute mechanical operations in accordance with the software. Most importantly, the robot's Bluetooth module must be able to connect with an open-source voice app and give the appropriate response to the voice commands with minimum delay. As a synopsis, the final robot design should be able to operate and function using voice commands such as right, left, forward, backward, and stop
Before starting any of the steps, collect all the materials.
Mode 1 (avoids obstacles on its own):
Circuit assembly:
Use a multimeter to measure voltage and current. Then record the information to be compared with the design.
Software coding:
Setting up the Arduino Software (IDE) on the computer and then connecting it to an Arduino Uno:
At this step, build the logic behind our program
Test Until all results are accurate.
Mode 2( Voice Commands):
Circuit Assembly:
H- Bridge
Ultrasonic Module:
Body:
App:
Battery:
Coding:
Voice Control:
In order to analyze the data collected while testing, tables were employed. The distance the robot travels, the commands that it interpreted from a specific function, its response to a command asking it to start, backward, right, left, and stop were tested and recorded. The time it took for the robot to acknowledge the command, which was sent for a specific function, was also recorded. Tests were also conducted to observe the time it took for the open-source voice app to connect with the Bluetooth module. First, the code for the forward function was developed and downloaded into the robot, followed by the command being tested four times and recording the results. During the first trial, the robot did not respond to the given command. Thereafter, the code and Bluetooth circuit diagram were ameliorated and the forward command was tested again. The result was one wheel was spinning 360 degrees, while the other wheel was spun in the reverse direction. The code was modified again and after several iterations, the robot functioned properly for the forward motion command. After recording the results for forward motion trials, the same was done for backward, left, right, and stop functions which ran into many problems as well though they were successfully improved. Once specific commands were tested and the qualitative data was collected, a trial was run to evaluate the amount of time it took for the robot to send an acknowledgment of a specific function command sent to it.
With further testing and research, this robot will be enhanced to detect an individual's specific voice harmonics. The applications of this technology will further grow substantially; if this were put into action, it would greatly increase the security as everyone has a unique voice, just like a fingerprint. The next step would be to further develop a program that would be able to identify any individual's specific voice harmonics.
As a synopsis, the Voice Controlled Robot: Touch-Free Technology (TFT) project operates through userspecific voice commands and 'touch-free' operations. The Arduino Uno board in the robot was programmed using software coding and the motors have been proven to function successfully according to the experiments conducted. After ameliorating problems in the code, the motors worked consistently. Additionally, the robot’s Bluetooth module was able to operate via voice commands through an opensource Android AMR voice app, as proven with the results- the Bluetooth module was able to successfully connect three out of the five trials. The robot functioned via voice commands such as right, left, forward, backward, and stop. After testing each command, the data yields results that show that the robot functions according to the commands given. Now, this innovation can be applied to various ideas such as keyless vehicles, hospital beds, wheelchairs to help physically challenged people and senior-citizens, etc. This will decrease the need to make contact with objects, therefore contributing to the prevention of the spread of communicable diseases such as COVID-19. This voice-enabled technology would aid in keeping doctors, nurses, and other health professionals safe because they would be able to operate devices and computers using this technology, which will be more efficient and safe. Other applications include embedding voice-enabled functionality in door handles, elevator buttons, phones, and other commonly used objects to avoid the spread of germs. In summary, the Voice Controlled Robot- TFT functioned successfully.
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