i
IMAGE RECOGNITION
Image recognition
Robert Vasquez
Clark College
ii
IMAGE RECOGNITION
Letter of transmittal
Mr. Tobias Peterson,
In is my report, “Image recognition,” one of the challenges I met while writing this report was
finding suitable articles and research about different systems used in image recognition. Most of
the research I could conduct concerns the current use of face recognition and the future of the
technology that is already in existence. In my case, I think that image recognition is widely used
for security purposes. I had plenty of time to work ahead and start the research for the report on
image recognition.
What I learned in response to each of the learning outcomes:
a) Locate, evaluate and integrate credible research into a written document for a specific
purpose and work-world audience.
I learned the significance of get-together specific evidence from the text when I am
including it in a report document. For example, when pointing out on my ideas, I need to
include a summary from the original source and cite it to support the ideas.
b) Apply appropriate formatting and visual aids for a specific purpose and work-world
audience.
I learned how to use reference of visual aids in the writing. I didn’t think that was
necessary in writing because visual aids generally have a description.
c) Edit for accuracy, brevity, clarity, to write and ethical document with a specific purpose
and work-world audience.
This was the most used learning target because it will help you come off as a better writer
and won't make your audience guess your intentions. Being clear and concise leads to
less misunderstanding.
d) Contribute successfully to a group in the creation of work-world documents.
It is significant to communicate with team members to have a document that includes all
its necessary information.
I believe this lesson will be most helpful to me in my future studies and career because it
involves a procedure in individual research and findings. This class has made me become aware
of who I am writing to and their knowledge about my topic. Usually I assume someone is
reading my work because they already know what I am writing about. This is because the
instructions to be followed by in the research were from the instructor. Therefore they had a
strong background in that topic. Each learning outcome had significance regarding the
assignment it corresponded to. Every assignment this quarter included the learning outcome to
edit for brevity and to write an ethical document. I believe this would not be an effective class if
that particular learning outcome wasn’t the primary focus. In the beginning of this quarter I
learned what it meant to be a technical writer, and the said learning outcome is a shortened
version of how to be a writer. Being able to integrate credible research into a written document is
also very helpful in writing the final report. Giving your audience solid ...
1. i
IMAGE RECOGNITION
Image recognition
Robert Vasquez
Clark College
ii
IMAGE RECOGNITION
Letter of transmittal
Mr. Tobias Peterson,
In is my report, “Image recognition,” one of the challenges I
met while writing this report was
finding suitable articles and research about different systems
used in image recognition. Most of
the research I could conduct concerns the current use of face
recognition and the future of the
technology that is already in existence. In my case, I think that
image recognition is widely used
for security purposes. I had plenty of time to work ahead and
start the research for the report on
image recognition.
What I learned in response to each of the learning outcomes:
2. a) Locate, evaluate and integrate credible research into a written
document for a specific
purpose and work-world audience.
-together specific evidence
from the text when I am
including it in a report document. For example, when pointing
out on my ideas, I need to
include a summary from the original source and cite it to
support the ideas.
b) Apply appropriate formatting and visual aids for a specific
purpose and work-world
audience.
g. I
didn’t think that was
necessary in writing because visual aids generally have a
description.
c) Edit for accuracy, brevity, clarity, to write and ethical
document with a specific purpose
and work-world audience.
target because it will help
you come off as a better writer
and won't make your audience guess your intentions. Being
clear and concise leads to
less misunderstanding.
d) Contribute successfully to a group in the creation of work-
world documents.
is significant to communicate with team members to have a
document that includes all
3. its necessary information.
I believe this lesson will be most helpful to me in my future
studies and career because it
involves a procedure in individual research and findings. This
class has made me become aware
of who I am writing to and their knowledge about my topic.
Usually I assume someone is
reading my work because they already know what I am writing
about. This is because the
instructions to be followed by in the research were from the
instructor. Therefore they had a
strong background in that topic. Each learning outcome had
significance regarding the
assignment it corresponded to. Every assignment this quarter
included the learning outcome to
edit for brevity and to write an ethical document. I believe this
would not be an effective class if
that particular learning outcome wasn’t the primary focus. In
the beginning of this quarter I
learned what it meant to be a technical writer, and the said
learning outcome is a shortened
version of how to be a writer. Being able to integrate credible
research into a written document is
also very helpful in writing the final report. Giving your
audience solid facts supported by
credible research and citations makes you look better as a
writer. Applying visual aids helps to
ease the wordy text in big technical reports.
All in all, I am glad to have completed this course and gained
knowledge about the writing skills.
iii
4. IMAGE RECOGNITION
Sincerely’
Robert Vasquez
v
IMAGE RECOGNITION
Table of content
Conclusion
Reference……………………………………………………………
………..………………….8
Abstract
The level of safety in various business sectors is improved by
installation of security methods to
protect the premises or the big data. The main aim for this study
is to find out the main purpose
of image recognition, its impact on the environment and the
people and how the vision will be in
the future.
Though the image recognition system may have several
advantages, there are challenges of the
system as discussed in the report. Data collected on the
information concerning the image
recognition is used to provide enough information on the report.
5. It is recommended that for the perfect security that has being
desired by most of the people, the
use of image recognition will help to accomplish the mission.
Additionally, as technology
vi
IMAGE RECOGNITION
develops in all the sectors, the security sector will also develop
as the image recognition involve
to use of advanced technology.
1
IMAGE RECOGNITION
Image recognition
Introduction
Image recognition, also known as visual artificial intelligence
refers to the implementation of
computer software and hardware to perform various mandates
and functions that relate to the
identification of various aspects and objects in the environment
such as animals and human
beings. The implementation of various computer software and
their respective hardware devices
give rise to the image recognition. In this process, the computer
software is integrated and
merged in a particular setting that includes the methods and
techniques that are helpful in the
analysis and detection of images and other visuals. The
6. particular process of detection and
analysis of the images and visuals are implemented to help in
the automation of some specific
tasks and mandates. The Image recognition has been in
innovation and processing form the early
1950, where researches and scientists found out that the
manipulation of mechanics and
machines can be done in such a way that they mimic the Human
brain, where they can identify
and name various objects in the environment. However, the
ideas that the scientists had by they
were hard to actuate and make reality because of the high prices
of computer at the time. Since
the particular time, advancements and innovations regarding the
respective subject were
implemented and led to the improvement and the actuation of
the particular ideas.
The evolution and the growth of the implementation of artificial
intelligence, particularly in
processes such as image recognition have been realized in the
recent past. Various requirement
and demands for better results in different aspects and
circumstances led to the demand for better
systems that provided efficient automatio n processes using the
image recognition and other
related aspects. The various implementations and circumstances
include the security
departments, where the implementation of AI in image
recognition is becoming an effective and
essential requirement is circumstances such as access control.
Image recognition is realized as a
development that took several years to achieve the respective
result and particular result that is
accorded in the present time.
7. I this report, the main purpose is to address the respective
experiences, implementations and
impacts of artificial intelligence, which is image recognition
and other experiences realized form
the implementation and the actuation of image recognition in
various circumstances and
environments. In this report, the knowledge and the information
is intended to reach various
audiences, including the respective organization and companies
that benefit from the
implementation of the implementation of image recognition.
The implementation of image
recognition is realized and witnessed in various environments
and circumstances such as security
enforcement, were image recognition is used to automate access
control and other related
aspects. Besides, image recognition is also witnessed in other
circumstances such as the
automation of driverless cars, automation of bridges and the
signing of attendance at working
environments and institutions. Such are the audiences addressed
by this report. Beside, other
audiences such as students who seek knowledge and information
about image recognition and AI
can also benefit from this report. In this report the limitations
witnessed includes the insufficient
funds that led to the failure of the required exposure to various
companies and organizations that
employ and also implement the formulation and the
implementation of image recognition and
other artificial intelligence applications.
2
IMAGE RECOGNITION
8. Collected data
At this point of image recognition systems and software, the
various aspects and characters used
to actuate and implement the functions of the image recognition
activity is witnessed. The
implementation and the operation of the image recognition
theory and other related forms of
artificial intelligence are witnessed and realized from the
perspectives witnessed during the
actuation and the particular implementation of the image
recognition procedures. The use of
artificial neural networks and other related technologies are
among the processes that avails and
produce the function and the operation of image recognition.
Foremost, the neural networks in
image recognition are used to help in the recognition and the
analysis of various concepts and
other characteristics found in any particular image ("Image
Recognition : A Complete Guide -
Deepomatic", 2021). To achieve this implementation, training
of the neural networks is
implemented using primary data collected from various
circumstance and environments. After
the particular data is availed and stored in the system, the
annotation and the definition of various
characters and other physical aspects of the image helps to build
the image recognition process
and its efficiency in operation.
After the annotation and the entry of the required data into the
system, various examples of real
world examples and images are then brought in to help tech the
neural networks about the
concepts and other various aspects witnessed in image
9. recognition. When different examples and
samples are used in the process, the neural network learns more
about the aspects and the
concepts witnessed in the image recognition process ("Image
Recognition : A Complete Guide -
Deepomatic", 2021). The image recognition software and
system now identifies various images
with and components in any image in form of digital
representation, which are usually numerical
values that stand for the pixels that build up the image. At this
point, the particular system is able
to recognize various images and components of images with the
representation in numerical
values. Each value represents different aspects and characters of
different images. This makes it
possible of the image recognition system to recognize different
images and characters in a given
time. An example of the numerical recognition of an image in
the system can be witnessed
bellow
The numerical values in the representation stand for
the different characteristics and aspects in the image.
The different numerical expressions help to distinguish
between various components and aspects of the image.
The representation above changes from image to
image. This implies that every image possesses its
own representation that doesn’t resemble another.
Form such aspects, the image recognition system
becomes suitable in circumstances and points such as
the automation of security systems in areas of access
control.
The image recognition can be implemented and
realized in various systems and software. Among the
10. 3
IMAGE RECOGNITION
various examples is python, where the representation of an
image is dine using various steps,
where an image is accorded different dimensions in a decreasing
manner, to a point where the
respective representation of the image in the
python software is diminished by half but all
the aspects and characteristics are maintained.
From such an implementation, the particular
image recognition system is able to perform
various tasks and mandates regarding to image
recognition of various characters. In this aspect,
the involvement of deep learning is
implemented ("Image Recognition : A
Complete Guide - Deepomatic", 2021). This is
where the image recognition system is able to
acquire all the required aspects and components
of the image to be analyzed. The components
include the color scale, size and other important
aspects of every image. This allows for the
accurate representation of the aspects and
components of the respective image. As a
result, accurate and precise recognition of the image is
achieved. Below is an example of the
image recognition process and illustration of in python.
Impact
The use of image recognition has brought about several impacts
to the environment, mostly the
business sector and to the individuals in general. Organizations
are widely using image
11. recognition for various activities such as to increase their level
of security. The future of image
recognition is likely to grow since most of the industries have
visions on the services offered by
image recognition. Moreover, there are strategies that will be
made to solve the problems of
image recognition to make it more effective in its services.
Findings
There are various findings associated with image recognition.
These findings include advantages
and the disadvantages of image recognition;
Advantages
Image recognition contributes in increasing the level of security
designed to protect important
information. Image recognition is widely used since it is
installed in the private devises of
individuals and it is possible for them to use the security
method. Most of the phones are
unlocked with the use of image recognition since this method is
more effective as it is rare to
find another person with the same features. Organizations use
image recognition to enhance the
security of the business since they deal with big data.
Information about the employees in the
place of work is protected by setting image recognition as
security measures. This allows only
few members to have access to the organizations data. Below is
an example of facial recognition
in an office set up to enhance security.
12. 4
IMAGE RECOGNITION
Image recognition is well
known of its accuracy since
the individuals’ features vary.
Face ID has become more
reliable since the advanced
technology has introduced the
use of 3D facial recognition. It
is not simple for one to trick
the system and hence this
creates the confidence that the
business premises are secure.
Moreover, it is difficult for
thieves or any stranger with bad motives to attack the
organization since their images are not in
the recognition system. Image recognition is fully automated as
the only have to confirm their
identity from the security system. This creates the advantage of
saving time when checking on
the security of the organization. The members of the
organization do not have to spend a lot of
time in signing in. Additionally, image recognition has a very
high rate of accuracy and this
makes the system more convenient to use. Likely, low cost is
incurred in the process of installing
the image recognition system. This makes it affordable by most
of the organizations.
Above is a block diagram of face recognition system.
Disadvantages
However, image recognition has various disadvantages to the
people since in most cases, the
13. police department use hidden cameras to track the criminals in a
given area hence there are other
people in the same area that carry on their private businesses.
This leads to lack of privacy in the
areas since the people cannot carry out their activities in
private. Likely, the image recognition
input image
face detec on
face recogni on
data base
5
IMAGE RECOGNITION
systems can analyze millions of images in a given period since
the people operation from the
particular area are many. This makes it less effective to the
police concerned since it is not easily
possible track a criminal among a large number of people.
Moreover, since image recognition is likely to taking a sample
of an individual’s DNA, most of
the people are worried about their privacy since they have a lot
of important information that
they have protected through the face recognition. If incase the
details on the image recognition of
an individual are hankered, it impossible to reset since they are
permanent. Other security
methods such as passwords when hacked are easy to reset hence
people prefer the use of
14. passwords ("5 Pros and Cons of Face Recognition Technology",
2021). Moreover, some groups
of people claim that face recognition not reliable since it may
portray low illumination when
used hence less effective. Likely, in a state where security
cameras have been set to keep close
watch on the property in the particular area, the videos captured
in the stipulated period are not
clear to identify the people in the clips.
It is proved that at times, image recognition in form of a video
can display the false positivity.
This happens when people are shown on the cameras and yet in
actual status there was no one in
the area. This creates a challenge to an organization that is in
the process of maintaining a high
security for its premises. Slight changes in the position of the
cameras used for security lead to
capturing the wrong angle and may give an advantage to the
thieves to steal from the premises
without being notified. With the increased cases of data
breaches, image recognition is at risk
since the data on recognition is stored in cloud and incase of
hacking, the recognition
information gets to unauthorized hands.
Interpretation of findings
Regardless of the benefits to image recognition, the challenges
of using the system make it less
effective to be used by all the people. Due to the big data in
most of the organizations, security
methods are used to protect the premises. The effective method
is when the members of the
particular organization give there recognition information to the
security system. This helps to
15. control the people who should enter the building of the
organization. Maintaining strategies to
protect the cloud system of the organization helps to protect the
recognition information which is
stored in the cloud. This is because there is not possible way to
reset the facial recognitions of
the individuals.
A. Future of image recognition
Due to the advanced technology, more devices are being
invented that require the use of image
recognition to operate. A good example is the driverless
vehicles that can sense the presence of a
person in front of it ("Image Recognition Applications: 7
Essential Future Uses – Data Science
Society", 2021). This image recognition installed in the
driverless vehicle help to reduce the
accidents that happen as a result of a person or people crossing
the road. Moreover, image
recognition will be of great importance in future enrolling and
admitting students in the specific
schools. Instead of the long process where the school staff have
to admit each student at a time
taking their details, the process will be easier when the schools
use the image recognition system.
Moreover, the students with learning disabilities are able to rely
on the applications that provide
computer vision to read a given content.
6
IMAGE RECOGNITION
The future of image recognition will lead to extensive use of the
16. system in optimizing medical
imagery hence making it more effective in the healthcare
centers. Image recognition will be used
in a situation of scanning the patients to identify the presences
of a given infection in their body.
The detection of severe diseases including cancer can be
identified at their early stage hence
creating a chance for the patient to get their treatment.
Moreover, as time goes by, the challenges
that are associated with image recognition will be solved to
make it more effective. This gives
most of the industries visions to increase their level of security
in future.
Interpretation of findings
Image recognition as identified as one of the best security
methods in all the sectors. It is relied
on to make more positive impacts in future by improving the
state of living of people in various
ways. There are possibilities that the challenges associated with
image recognition will be solved
to increase its effectiveness ("What Will We Use Image
Recognition for in the Future?", 2021).
Companies are likely to depend on image recognition for more
purposes apart from security
measures. Its application is sectors such as disease
identification in healthcare will lead to saving
many lives that had diseases which were easy to detect.
Driverless vehicles will become more
effective due to the developed sensors to increase the safety of
the passages.
7
17. IMAGE RECOGNITION
1. Conclusion
In conclusion, image recognition can be used for various
purposes including increasing security
of a premises. This helps to specify the people who have the
rightful access to the organization
hence avoiding any issue of theft in the premises. Security
cameras are placed in specific areas to
increase the security of the area by getting the identification of
the people who might have
intruded in the place. Moreover, the self-driving vehicles are
effective due to their ability to
sense hence increasing the safety of the passengers. Despite to
challenges of image recognition,
organizations and industries have visions to improve their
security through image recognition in
future. It is recommendable that image recognition will grow in
future due to its wide usage in
the business sector to provide security and other services.
8
IMAGE RECOGNITION
Reference
What is Image Recognition their functions, algorithm and its
uses. (2021). Retrieved 27 February
2021, from https://www.mygreatlearning.com/blog/image-
recognition/
Image Recognition : A Complete Guide - Deepomatic. (2021).
Retrieved 27 February 2021, from
18. https://deepomatic.com/en/what-is-image-recognition
What Is Image Recognition?. (2021). Retrieved 27 February
2021, from
https://towardsdatascience.com/module-6-image-recognition-
for-insurance-claim-handling-
part-i-a338d16c9de0
What is image recognition? - Definition from WhatIs.com.
(2021). Retrieved 27 February 2021,
from https://searchenterpriseai.techtarget.com/definition/image -
recognition
What Will We Use Image Recognition for in the Future?.
LogoGrab Blog. (2021). Retrieved 27
February 2021, from https://blog.logograb.com/future-uses-
image-recognition/.
Image Recognition Applications: 7 Essential Future Uses – Data
Science Society. Data Science
Society. (2021). Retrieved 27 February 2021, from
https://www.datasciencesociety.net/image-recognition-
applications-7-essential-future-
uses/.
5 Pros and Cons of Face Recognition Technology. Techfunnel.
(2021). Retrieved 27 February
2021, from https://www.techfunnel.com/informa tion-
technology/5-pros-and-cons-of-
face-recognition-technology/.
Peterson
ENGL 235
19. Final Report Assignment
1
Purpose: This report will be your final assignment for the class.
The weekly class
assignments are designed to prepare you to successfully create
this document. In
that way, this assignment asks you to synthesize all of your
learning and
demonstrate your mastery of the following course learning
outcomes:
written document for
a specific purpose and work-world audience;
purpose and
work-world audience; and
document with a specific
purpose and work-world audience.
It will also prepare you to meet the following general education
program learning
outcomes:
20. methods.
Scenario: As a new employee at Initech, you’ve been given a
task: conduct a
feasibility study for the company’s venture capital department
on an emerging
technical process or product of your choosing. You need only
choose one topic
(either a product or a process). Here are just a few examples
you might consider:
Process
3-D printing
Wave or wind energy
Natural gas fracking
Private space travel
Virtual reality gaming
Product
Driverless vehicles
Hoverboards
Hydrogen fuel cells
Smart homes
The latest social media, gadget,
application, or technology craze
21. The choice is up to you, but you the information you present
should be technical in
nature. In other words, if you were to pick your favorite smart
phone game, you
should be prepared to focus on how it’s programmed, how the
makers earn money,
how many users subscribe, what their spending habits are, etc.,
rather than “It’s so
cool because you get to kill zombies with plants!”
Once you have a process or product in mind, the question this
study should address
is:
“Is [your process or product] a viable investment for Initech?”
Peterson
ENGL 235
Final Report Assignment
2
In other words, “If we invest in [your process or product], will
we see financial gain
as a result?”
Do not worry about any of the logistics of the actual investment
22. itself. You aren’t
expected to research stock offerings or investment contracts.
Instead, make sure
that your report addresses the following topics and related
questions:
History: How, when, where, and why did this develop?
Explanation: How—precisely and specifically—does this work?
Impact: What effects does this process or product have on 1) the
environment, 2)
the economy, and/or 3) society as a whole?
Future: What is the development trend of this process or
product? Is it popular?
Does it (or things like it) make money? Based on its past
development and its
current use/popularity, is this likely to become more widespread
in the future?
Recommendation: Given all your answers to these questions,
would this be a good
choice for Initech to invest in?
Essentially, you are conducting a research project that asks the
following questions:
“What does the future of [my process or product] look like?
Will it be more
widely used? Will it be replaced soon? If so, by what?”
A related question to address here might be “Should [my
23. process or product] be
more widely used? Is it environmentally hazardous or otherwise
flawed? If so, are
those flaws serious enough that a company should not invest in
it?”
For this reason, you should pick something that is relatively
new, or even untested
in its development. Don’t worry about accurately predicting the
future. You should
instead make a clear recommendation based on what your
credible research is
telling you at this moment in time.
Instructions: Once you have chosen a process or product, you
will conduct research
and write a formal feasibility analysis report.
The goal of your report is to 1) investigate the above questions
(and others, as
appropriate), 2) gather credible and scholarly research, and then
3) present a
convincing recommendation to a specific audience.
Requirements: Your final report must meet all of the following
criteria:
Length: The text of your report from Introduction to
Recommendation must be at least 5
24. single-spaced pages in length NOT including your front matter,
Works Cited/References
pages, visuals, or any appendices (see below). This should be at
least 3,000 words.
Research: You should include at least 5 credible sources.
Peterson
ENGL 235
Final Report Assignment
3
Visuals: The report should include at least four visuals. At least
two of these must be
original visuals of your own making, generated by you yourself.
The rest must be
charts, tables, or graphs that you generate originally. These
should include an
MLA/APA/IEEE formatted captions and should work with your
content to help explain your
findings.
Format: Use 12 pt. font in single-spaced, left-justified
paragraphs. Do not TAB to
25. start your new paragraphs. Your entire report should have a
running header, with
lower-case Roman numeral page numbers (i, ii, iii) for the front
matter (except the
title page) and starting with Arabic numeral 1 when you being
your Introduction.
See the provided course models for guidance.
Also, be sure to skip lines between sections and headings. Use
bold face for headings
and italics for subheadings. Make use of bold headings, white
space, and varied font
sizes/colors to make your document as readable as possible.
Report Outline: Your report should follow the outline below,
but take out the
outline formatting (I. II. A. B., etc.) for the report. Your report
must have each of
these 8 parts from the outline. Each one should constitute a new
page in your
report (start a new page for each section).
I. Title page
II. Letter of Transmittal Please direct this to me, your
instructor. Your letter of
transmittal should be 1-2 pages in length and should include the
following elements
(do not number them, though):
1. A reflection on your process in writing the report—how did
26. the project go for
your overall?
2. A reflection on what you learned regarding each of the four
course
learning outcomes. You should note what specifically you have
learned that
has prepared you to master these outcomes. (Ex: “I have learned
to create my
own graphs and charts in Excel to support my written text. As
well, I now
know how to set these off with appropriate amount of white
space and to
include a properly-formatted caption. I feel that these skills
show that I’m
able to ‘Apply appropriate formatting and visual aids for a
specific purpose
and work-world audience.’”) The course learning outcomes you
should
discuss are:
a. Locate, evaluate, and integrate credible research into a
written
document for a specific purpose and work-world audience;
b. Apply appropriate formatting and visual aids for a specific
purpose
and work-world audience;
c. Edit for accuracy, brevity, clarity, to write an ethical
document with a
specific purpose and work-world audience;
Peterson
27. ENGL 235
Final Report Assignment
4
d. Contribute successfully to a group in the creation of work-
world
documents.
3. A reflection on how you see these skills (or the class in
general) translating to
your future work or study. What will you take with you to use
in the future?
4. A brief conclusion.
III. Table of Contents
IV. Informative Abstract/Executive Summary
V. Introduction This will include your answers to the “History”
questions on page 2.
A thorough introduction should include (not necessarily in this
order):
A. Description, History, and Background of your process or
product
B. Purpose of the Report (clear statement of your research
question) and
28. Intended Audience(s)
C. Method of Inquiry
D. Limitations of this Study (such as time or money)
E. Working Definitions (if needed, here or in an appendix
glossary)
VI. Collected Data This will include your answers to the
“Explanation” and “Impact”
questions on page 2. Divide and subdivide the report into
appropriate, manageable
sections. The Data section should include (in the order you best
see fit):
A. First Topic for Investigation
1. Definition
2. Findings
3. Interpretation of findings
B. Second Topic for Investigation
1. First subtopic
a. Definition
b. Findings
c. Interpretation of findings
2. Second subtopic (and so on)
VII. Conclusion A thorough conclusion should include (again,
not necessarily in this
order):
29. A. Summary of Findings
B. Overall Interpretation of Findings
C. Recommendations: Is this process or product likely to grow
in future?
Should Initech invest in it?
Peterson
ENGL 235
Final Report Assignment
5
VIII. MLA Works Cited page or APA/IEEE References page
The style of citation
you use (MLA, APA, or IEEE) is up to you. MLA is used
primarily for humanities
writing, while APA is used with scientific writing. IEEE is used
for engineering.
Whichever you choose, be sure to consistently follow the
formatting guidelines with
respect to:
1. The general format of the paper (including the running
header)
2. The use of in-text reference notes
30. 3. The final Works Cited/References page
Please scroll down for a summative checklist and a rubric that
describes how your
report will be graded.
Peterson
ENGL 235
Final Report Assignment
6
Final Report Checklist
Requirements:
-spaced pages in length from Introduction to
Recommendation
Format:
31. -spacing within paragraphs
-spacing between sections and headings
-justified paragraphs – NO TABS
-case Roman numerals (i, ii, iii) for the front matter
(except the title page)
Report Content:
each section):
n
32. Peterson
ENGL 235
Final Report Assignment Rubric
7
Outcome Exceeds Mastery Meets Mastery Near Mastery Well
Below Mastery
Locate,
evaluate, and
integrate
credible
research into a
written
document for a
specific
purpose and
work-world
33. audience.
topic using relevant, credible, and
richly varied sources
through effective interpretation and
analysis
balance of analysis, summary,
paraphrase, and quotation
to varying claims
material with varied and effective
signal phrasing
avoids plagiarism through correct and
precise paraphrasing, use of quotation
34. marks, in-text citations and an MLA
Works Cited, APA, or IEEE
References page
d develops
the topic using fairly relevant,
credible, and varied sources
source support through
interpretation and analysis
of analysis, summary, paraphrase,
and quotation
direct quotation
some response
with signal phrasing
35. competent paraphrasing and use of
quotation marks, and mostly correct
in-text citations and an MLA Works
Cited, APA, or IEEE References
page
development of the topic, but may
not be entirely relevant, credible, or
varied
and
analysis of source material, but may
fail to effectively synthesize source
material
summary, paraphrase, and quotation
paraphrase or summary would be
36. more appropriate
respond to varying claims
provides minimal framing of source
material
errors in the use of quotation marks,
and/or errors in the in-text citations
or an MLA Works Cited, APA, or
IEEE References page
development of the topic, perhaps
because of too few relevant, credible,
or varied sources
does not synthesize source material
into report’s recommendation(s) and
37. lacks interpretation and analysis of
source material
paraphrase, and quotation
exclusion of paraphrase and summary
paraphrasing and/or significant errors
in the use of quotation marks
-
text citations and/or an MLA Works
Cited, APA, or IEEE References
page, or lacks one or both of these
sources because of the above
39. with few mistakes
need improved
design (too crowded, ineffective
spacing, etc.)
with few errors in following MLA,
APA, or IEEE formatting models
text
APA, or
IEEE standards for page layout
design (too crowded, ineffective
spacing, etc.)
but do not follow MLA, APA, or
IEEE formatting models
ond to the
40. text
APA, or IEEE standards for page
layout
(too crowded, ineffective spacing,
etc.)
captions
or do not
correspond to the text
Peterson
ENGL 235
Final Report Assignment Rubric
8
41. Outcome Exceeds Mastery Meets Mastery Near Mastery Well
Below Mastery
Edit for
accuracy,
brevity, clarity,
to write an
ethical
document with
a specific
purpose and
work-world
audience.
clear, concise, and specific standards
42. based on the topic
and transitions within and between
paragraphs
includes logical paragraph breaks
and an appropriate use of tense
grammar, or punctuation
professional audience
occasionally repeat certain structures
and lengths
though there may some misuse,
43. ineffective repetition, and/or a
minimal use of slang/cliché
some sentences do not meet factual,
active, clear, concise, or specific
standards
of ideas based on the topic
paragraphs
subheadings
has basic transitions within and
between paragraphs
breaks
do not significantly interfere with
44. meaning
consistent point
of view and an appropriate use of
tense
syntax, grammar, and punctuation,
but not enough to significantly
interfere with meaning
l audience
repetition, and/or slang/cliché
factual, active, clear, concise, or
specific standards
progression of ideas based on the
45. topic
paragraphs
transitions within and between
paragraphs
hich
occasionally interfere with meaning
of view and/or appropriate use of
tense
grammar, and punctuation
purpose
a professional
46. audience
repetition, and/or slang/cliché
active, clear, concise, or specific
standards
of ideas based on the topic
transitions within and between
paragraphs
consistently interfere with meaning
47. point of view and/or appropriate use
of tense
grammar, and punctuation
Peterson
ENGL 235
Final Report Peer Review Sheet
Purpose: This assignment will allow you to pass along helpful
feedback to a peer
that will aid in their report revision. At the same time, it will
also give you the
opportunity to consider your own draft and possible revision
choices heading into
the final.
Finally, this assignment will also prepare you to meet each of
the class learning
outcomes:
• Locate, evaluate, and integrate credible research into a written
document for
a specific purpose and work-world audience;
48. • Apply appropriate formatting and visual aids for a specific
purpose and
work-world audience;
• Edit for accuracy, brevity, clarity, to write an ethical
document with a specific
purpose and work-world audience;
• Contribute successfully to a group in the creation of work-
world documents.
Instructions: Read over your classmates’ report in detail after
considering the
following questions. Then go back and supply your responses
(writing on this
document in a different font is best – simply save and upload as
an attachment to
your reply post on the discussion forum). Be constructive in
your criticism, but
remember that “Good job!” is not helpful feedback!
Technical Writing Quality
How well does this report achieve the following:
meets purpose of assignment?
effectively engages a professional audience?
employs varied sentence structures for style and college-level
reader interest?
exhibits a precise and sophisticated vocabulary?
x
x
49. Peterson
ENGL 235
all sentences are factual, active, clear, concise, and specific?
Comments:
Some of your sentences are confusing to read. Their main idea
somewhat gets across, but
I’m left doing double-takes and making sure I’ve read clearly,
which distracts from the
overall flow of the piece. I think some of your sentences and
phrases are confusing because
they could be said in fewer words. As you revise, I would
challenge yourself to condense
your ideas and uncomplicate them as much as possible. It’s
tempting to use more words
than necessary because of the potentially intimidating minimum
word count requirement
for this assignment, but those extra words come at the cost of
clarity. I would cut out
anything unnecessary and worry about meeting the length
requirement later. An example of
what I would cut out or alter: “advancements and innovations
regarding the respective
subject.”
“The implementation and the operation of the image recognition
theory and other related
forms of artificial intelligence are witnessed and realized from
the perspectives witnessed
during the actuation and the particular implementation of the
image recognition
procedures.” What? I’m having to think way too hard to put this
50. together, and it is still
unclear.
“The numerical values in the representation stand for the
different characteristics and
aspects in the image. The different numerical expressions help
to distinguish between
various components and aspects of the image.” First, this is the
same thing said twice.
Second, what are examples of different characteristics or
“aspects”? (Contrast between
pixels, edges, color, etc.) “Aspects” is vague.
What does a python have to do with image recognition?
“Most of the phones are unlocked with the use of image
recognition since this method is
more effective as it is rare to find another person with the same
features.” Firstly, I don’t
believe that “most of the phones” are unlocked this way; the
majority of my family’s phones
aren’t, so I need more convincing. Secondly, how rare is it?
This seems like an easy statistic
to find and cite, and an easy win for your report that can be
used to argue that an
investment in image recognition is an investment in security.
“[…] image recognition has a very high rate of accuracy.” How
high is “very high”? Give me a
statistic that you’ve found in your research. If it’s not as simple
as one number, give me
multiple metrics and explain why they are useful for evaluating
the efficacy of an artificially
intelligent system.
51. remains focused on the central research question(s) throughout
in an immediately
recognizable way?
shows mastery of the narrowed topic and articulates its
complexities?
presents a logical progression of ideas based on the topic?
maintains focus within each paragraph?
uses highly effective subheadings?
x
x
x
x
Peterson
ENGL 235
provides clear and directive topic sentences and sophisticated
transitions within and
between paragraphs?
includes logical paragraph breaks?
Comments:
There are some parts that could be split further into multiple
paragraphs, but generally I
think you did a good job of separating ideas between
52. paragraphs. The same goes for logical
paragraph breaks.
I didn’t give you a check for “shows mastery of the narrowed
topic and articulates its
complexities” simply for the opening section, “Operation of
image recognition.” I think this
section could be simplified a lot. The reader doesn’t need to
know exactly how these
systems work, but they should come away with a high level
understanding, and I felt that
that high-level understanding was a bit too difficult to get to
than it should have been. I’m
already familiar with computer vision, and this section was
confusing and hard for me to
read.
does not display any serious patterns of error?
maintains a consistent point of view and appropriate verb tense?
contains very few mistakes of syntax, grammar, and
punctuation, and none that interfere
with meaning?
Comments:
My reasoning for these check boxes is apparent in my other
comments.
Formatting and Visuals Use
How well does this report achieve the following:
53. correctly uses MLA, APA, or IEEE standards for page layout?
design choices in page layout enhance reader understanding?
all visuals are accompanied by MLA, APA, or IEEE formatted
captions?
all visuals are clearly linked to the text?
x
x
Peterson
ENGL 235
Comments:
I recommend altering your report to have the clearly separated
sections of Introduction,
Data Collected, and Conclusion, as defined in the instructions
for the report assignment.
Each of these sections should start on their own page so that it
is markedly clear where the y
begin.
Your pages are numbered with lower-case Roman numerals, but
this should only be
54. reserved for the front-material; the Introduction section should
start on page 1.
Research Use
How well does this report achieve the following:
thoroughly supports and develops the topic using relevant,
credible, and richly varied
sources?
synthesizes relevant source support through effective
interpretation and analysis?
consistently uses an appropriate balance of analysis, summary,
paraphrase, and
quotation?
considers and convincingly responds to varying claims?
consistently introduces source material with varied and
effective signal phrasing?
maintains strict ethical standards and avoids plagiarism through
correct and precise
paraphrasing, use of quotation marks, in-text citations and an
MLA Works Cited, APA, or
IEEE References page?
Comments:
55. Your report doesn’t seem to rely much on information from
source material. Either this is
the case, or you are doing a lot of paraphrasing which is not
clearly indicated as
paraphrasing. References are mostly mentioned in passing rather
than focused on for
analysis of findings.
Overall Impressions
How persuasive did you find the recommendations made by this
report?
I do not find the recommendations persuasive. In fact, the
conclusion does not make
an explicit recommendation.
Note at least 3 strengths and 3 weaknesses below:
Weaknesses
x
Peterson
ENGL 235
- Word choice and phrasing seems to lack purpose at times and
speaks negatively
to your credibility, as if you are pretending to know what you’re
talking about
(whether or not you actually are). This mostly has to do with
56. overcomplication.
- Overreliance on words such as “various” (appears 30 times),
“particular” (appears
14 times), and “aspects” (appears 17 times). Overall use is not
as much of a problem
as repeated, consecutive use. There are many instances in which
the use of these
words does not convey additional meaning and distracts from
the underlying point.
- Many instances of invalid word choice and grammar. With the
right settings
enabled, Microsoft Word and Google Docs should be
identifying nearly all of these
for you.
Strengths
- Your care for the subject matter comes across and aids in your
pathos (emotional
appeal, as minimal as it may be in technical writing) and ethos
(credibility).
- Your “Future of image recognition” section is especially
exciting. I think this
section should be much longer and split into multiple sections
where you explore
applications in different industries. At the highest level, I think
this is the most
important thing you could do to improve your report (fluff
removal and
simplification being close seconds). But, this is just my opinion.
- Social awareness. You analyze image recognition from
