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MINISTRY OF EDUCATION AND TRAINING HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY AND EDUCATION FACULTY FOR HIGH QUALITY TRAINING GRADUATION PROJECT COMPUTER ENGINGEERING TECHNOLOGY DESIGN AND IMPLEMENTATION OF CLASSFICATION AND DELIVERY BASED ON COMPUTER VISION ADVISOR: TRƯƠNG QUANG PHÚC, M.Eng STUDENT:PHẠM MINH QUÂN NGUYỄN HOÀI PHƯƠNG UYÊN SKL 0 0 9 6 9 7 Ho Chi Minh City, December, 2022
HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY AND EDUCATION FACULTY FOR HIGH QUALITY TRAINING GRADUATION PROJECT DESIGN AND IMPLEMENTATION OF CLASSFICATION AND DELIVERY BASED ON COMPUTER VISION PHẠM MINH QUÂN Student ID: 18161031 NGUYỄN HOÀI PHƯƠNG UYÊN Student ID: 18119053 Major: COMPUTER ENGINEERING TECHNOLOGY Advisor: TRƯƠNG QUANG PHÚC, M.Eng Ho Chi Minh City, December 2022
HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY AND EDUCATION FACULTY FOR HIGH QUALITY TRAINING GRADUATION PROJECT DESIGN AND IMPLEMENTATION OF CLASSIFICATION AND DELIVERY BASED ON COMPUTER VISION PHẠM MINH QUÂN Student ID: 18161031 NGUYỄN HOÀI PHƯƠNG UYÊN Student ID: 18119053 Major: COMPUTER ENGINEERING TECHNOLOGY Advisor: TRƯƠNG QUANG PHÚC, M.Eng Ho Chi Minh City, December 2022
THE SOCIALIST REPUBLIC OF VIETNAM Independence – Freedom– Happiness -------- Ho Chi Minh City, December 25, 2022 GRADUATION PROJECT ASSIGNMENT Student name: Phạm Minh Quân Student ID: 18161031 Student name: Nguyễn Hoài Phương Uyên Student ID: 18119053 Major: Computer Engineering Technology Class: 18119CLA Advisor: Trương Quang Phúc, MEng Phone number: _________________ Date of assignment: Date of submission: _____________ _____________________ 1. Project title: Design and Implementation of classification and delivery based on Computer Vision 2. Initial materials provided by the advisor: ___________________________________ 3. Content of the project: _________________________________________________ 4. Final product: ________________________________________________________ CHAIR OF THE PROGRAM ADVISOR (Sign with full name) (Sign with full name) Trương Quang Phúc
THE SOCIALIST REPUBLIC OF VIETNAM Independence – Freedom– Happiness -------- Ho Chi Minh City, December 25, 2022 ADVISOR’S EVALUATION SHEET Student name: Phạm Minh Quân Student ID: 18161031 Student name: Nguyễn Hoài Phương Uyên Student ID: 18119053 Major: Computer Engineering Technology Project title: Design and Implementation of classification and delivery based on Computer Vision Advisor: Trương Quang Phúc, MEng EVALUATION 1. Content of the project: ................................................................................................................................................ ................................................................................................................................................ 2. Strengths: ................................................................................................................................................ ................................................................................................................................................ 3. Weaknesses: ................................................................................................................................................ ................................................................................................................................................ 4. Approval for oral defense? (Approved or denied) Approved 5. Overall evaluation: (Excellent, Good, Fair, Poor) Good 6. Mark: 9.0 (in words: .......................................................................................) Ho Chi Minh City, December 25, 2022 ADVISOR (Sign with full name) Trương Quang Phúc
HO CHI MINH CITY UNIVERSITY THE SOCIALIST REPUBLIC OF VIETNAM TECHNOLOGY AND EDUCATIO Independence – Freedom - Happiness FACULTY FOR HIGH QUALITY TRAINING Ho Chi Minh City, January 13, 2023 MODIFYING EXPLANATION OF THE GRADUATION PROJECT MAJOR: COMPUTER ENGINEERING 1. Project title: Design and Implementation of classification and delivery based on Computer Vision 2. Student name: Phạm Minh Quân Student ID: 18161031 Student name: Nguyễn Hoài Phương Uyên Student ID: 18161031 3. Advisor: Trương Quang Phúc, Meng 4. Defending Council: Council 2, Room: A3-404, 3rd January 2023 5. Modifying explanation of the graduation project: TT Council comments Editing results Note Many figures in chapter 2 are reused from other Many figures in chapter 2 are provided 1 sources without providing the related references. the related references. Visual quality of many figures in chapter 3 is Many figures in chapter 3 are modified to 2 very low and hard to follow. improve their visual quality. In conclusion: Author should clearly point out The conclusion section is clearly pointed 3 which objective have accomplished instead of a out which objective have accomplished general summarization. The flowchart of figure 3.6 must have a “Begin” 4 The flowchart of figure 3.6 is modified. point and a “End” Point in a terminator shape. Head of Department Advisor Students (Sign with full name) (Sign with full name) (Sign with full name) Trương Quang Phúc
THE SOCIALIST REPUBLIC OF VIETNAM Independence – Freedom– Happiness -------- Ho Chi Minh City, December 25, 2022 PRE-DEFENSE EVALUATION SHEET Student name: Phạm Minh Quân Student ID: 18161031 Student name: Nguyễn Hoài Phương Uyên Student ID: 18119053 Major: Computer Engineering Technology Project title: ............................................................................................................................. ................................................................................................................................................. Name of Reviewer: ................................................................................................................. EVALUATION 1. Content and workload of the project ................................................................................................................................................ ................................................................................................................................................ 2. Strengths: ................................................................................................................................................ ................................................................................................................................................ 3. Weaknesses: ................................................................................................................................................ ................................................................................................................................................ 4. Approval for oral defense? (Approved or denied) ................................................................................................................................................ 5. Overall evaluation: (Excellent, Good, Fair, Poor) ................................................................................................................................................ 6. Mark:……………….(in words: .......................................................................................) Ho Chi Minh City, December 25, 2022 REVIEWER (Sign with full name)
THE SOCIALIST REPUBLIC OF VIETNAM Independence – Freedom– Happiness -------- EVALUATION SHEET OF DEFENSE COMMITTEE MEMBER Student name: Phạm Minh Quân Student ID: 18161031 Student name: Nguyễn Hoài Phương Uyên Student ID: 18119053 Major: Computer Engineering Technology Project title: ............................................................................................................................................. ............................................................................................................................................. Name of Defense Committee Member: ................................................................................................................................................... EVALUATION 1. Content and workload of the project ................................................................................................................................................. ................................................................................................................................................. 2. Strengths: ................................................................................................................................................. ................................................................................................................................................. 3. Weaknesses: ................................................................................................................................................. ................................................................................................................................................. 4. Overall evaluation: (Excellent, Good, Fair, Poor) ................................................................................................................................................. 5. Mark:……………….(in words: ........................................................................................) Ho Chi Minh City, December 25, 2022 COMMITTEE MEMBER (Sign with full name
ACKNOWLEDGEMENTS Over the course of undertaking the project, our group received a plenty of valuable support that incentivize us to overcome all the problems and challenges and end up this quite hard and meaningful project. Firstly, we would like to thanks to the School Board of the Ho Chi Minh City University of Technology and Education and Faculty for High Quality Training creating wonderful conditions for me to take my project. Secondly, sincerely thank to Mr.Trương Quang Phúc, our advisor who gave us useful guidance and instruction that help us to finish our project successfully. From these advices we can improve our project contents and correct the mistakes as well. Thirdly, we are grateful to all of the nice classmates of class 18119CLA who contributed to give advice and warm guidance whenever we need the support. Last but not least, Due to limited knowledge and implementation time, we cannot avoid errors. We look forward to receiving your comments and suggestions to improve this topic. In short, we really thank to all people are a part of our achievement. Ho Chi Minh city, Friday, December 23, 2022 Student performance Pham Minh Quan Nguyen Hoai Phuong Uyen ii
ABSTRACT Currently, both the national and international industries are growing quickly. Manufacturers are interested in the trend of industry combined with automation. With the advancement of digital technology, automatic lines are becoming more widely used in manufacturing. Manufacturing companies are constantly improving their own technology and machinery systems in order to produce high-quality products at the most competitive prices. That is the foundation for improving competitive position and assisting businesses to stand firm in a competitive market. The following article will delve deeper into the role of automation in modern manufacturing. It is because the logistics industry provides numerous benefits, such as increased productivity, lower kernel costs, improved product quality, and lower raw material costs. Our team decided to implement the topic "Automatic parcels classification and delivery through image processing" after absorbing information and researching the automation industry. The convolution neural network used which is one of the most widely used networks in the field right now for character recognition, barcode recognition. Generalizing the problem, we choose convolutional neural network because it has a complex architecture and large parameters, good enough for object recognition. We additionally prepare a sizable enough data collection, which includes a few particular examples, to provide the training procedure with excellent outcomes. In order to maximize data inference and training time, we additionally chosen to use NVIDIA's Jetson Nano hardware to maximize the GPU's processing capability. JPG files with the collected data are used for both testing and training. iii
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