Detecting Object Position and Size Using Artificial Intelligence

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INITIAL RESEARCH PROPOSAL FORM
(also referred to as ‘Statement of Intent Form’)
To be submitted by the researcher to the Institute Research Sub-Committee (IRC)
Research Title:
Detecting oObject position and size detection using AIArtificial Intelligence to detect size of an object
Institute name
Institute of Eengineering and Ttransport (Electrical and Electronics)
Course / Programme:
Bachelor of Engineering in Electronics Engineering
Level and year of study
Level 6
Main area of study being proposed:
1. Power Electronics
2. Digital Electronics
3. C++ Programming
4. Simulation Using MATLAB
5. Digital Electronics
6. Microcontrollers i.e. Arduino
Digital ElectronicsArtificial Intelligence (Deep Learning)
Simulation Using MATLAB
Microcontrollers i.e. Arduino
Name of Researcher:
Rubin El-ellaghi
Researcher’s I.D. Number:
0114050A
Signature of Researcher Date of submission of Form
14/03/2019
Name of Tutor (or Recommended Tutor):
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Dr. Ing Joseph A. Zammit and Jesmond Gatt
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Personal Motivation for the Choice of Research Theme.
As human beings we have been able to identify, recognize and approximate sizes and shapes of objects
just by looking at them. And over time we have evolved to using cameras and then using computation
techniques to calculate the estimate size of the object.
Using artificial intelligencedeep learning with MATLAB for object recognition in their natural setting and
then measuring sizes of the objects is considerably a new form of artificial intelligence in science
advancements. This is possible if we combine the Matlab software fed up with data by from the ultrasonic
sensor and Arduino as thea microcontroller as a medium to convert the signals between the ultrasonic and
the Matlab.
Ultrasonic sensor enables one to measure the sizes of objects by non-contact method.
I am motivated by various inventions and advancements that have been made in this field of artificial
intelligence, simulation and digital electronics. Some of the projects that have become a success include
object recognition using AI and simulation to detect colors of objects. If this project becomes a success it
will considerably reduce computations and process this information on a real time basis.
Outline of Key Literature and Theoretical Framework or Propositions.
Artificial Intelligence
Artificial intelligence sometimes referred to as machine intelligence is the intelligence demonstrated by
machines. Artificial intelligence, studied in a broader topic of robotics, is being used in making of tools
which have the capabilities to imitate humans in performing many tasks. Artificial intelligence software is
fed into robots or computers or other related tools. It works by collecting large swathes of data with
complex functions and then allowing the software to learn skills from patterns of the inserted data,
AI is the one behind today’s driverless cars, and apple’s SIRI talking program. Artificial intelligence has
helped in development of tools which are useful in solving numerous tasks and increasing the efficiency
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and speed of solving the tasks.
Artificial intelligence has automated repetitive learning and discovery through data. This has helped to a
great deal in performing large volume, frequent and computerized tasks without fatigue unlike automation
from hardware.
Al is also easy to adapt to repetitive learning algorithms. Artificial intelligence makes the algorithm
acquire a skill through repetitive and progressive entry of data and this leads to the point whereby the
algorithm can be a predictor or a classifier.
Applications of artificial intelligence in today’s life is everywhere to see. For instance, AI has made the
internet a marketplace for business whereby patterns of data can be learned to help companies plan. In
healthcare AI applications are providing information such as x-ray readings.
Some of the advantages of using AI include improvement of existing tools and their abilities in what tasks
they do, give humans better understanding and improve our memory and much more.
The challenges that AI is facing include; AI cannot function like humans in multitasking such as tools
developed to play poker cannot play chess. This means that AI only works in defined data. In addition, AI
is going to change every industry and so the conflict that will arise between humans and robotics will be
unimaginable and ways have not been devised on how to control the conflicts such as loss of jobs. [1]
Using Ultrasonic Sensor to Detect Size of an Object
Ultrasonic sensors have been in use all over the world for some time now. Ultrasonic sensors work by
sending sound pulses with a frequency high above human hearing frequency to the object and then
measuring the time the sound signal takes to return to the transducer. This data then is computated to
determine the distance and the size of the target (object)
The ultrasonic sensors can be use in measuring proximity and ranging. In proximity detection, the sensor
has pre-recorded range within which if an object is passing within will be detected and sound signal
reflected back to the transducer.
Advantages of Ultrasonic sensors is that since they measure the sizes and presence of objects using non-
contract method, they are preferably used in environmentally difficult places. And the sensor is also not
affected by optical factors such as color, reflectivity, transparency and opaqueness.
Nowadays ultrasonic sensors such as senix ultrasonic sensors are used in various machines in
determination of presence and sizes of objects.
Limits of using ultrasonic sensor to detect size of an object is that it is difficult to measure object at longer
distances. In addition, they cannot be used to measure sizes and proximity of curved or sound absorbing
objects such as fabrics. [4]
Artificial Intelligence and MatLab
MatLab is a tool that uses data entered into it to produce different output by forming algorithms and
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