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National University of Singapore
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Back End Devel0per @英仕國際
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Service Provider @Taron Solutions Limited
2023 ~ 2023
AI工程師、機器學習工程師、電腦視覺工程師、資料科學家、Machine Learning Engineer、Computer Vision Engineer、Data Scientist
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預處理: • 開發爬蟲系統:使用者只需設定關鍵字即可自動爬取各大醫學論文網站當今的文章,爬取網站包含:PubMed、Google Patent、Internet Archive Scholar。 • 資料清理:將文章內容依照公司標準做整理,並新增數據至公司資料庫。 技術:Python、Beautiful Soup、Selenium、Prompt Engineering、MySQL 微算機系統實習 課程助教 • 國
Machine Learning
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國立臺北科技大學
資訊工程
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AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
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國立政治大學(National Chengchi University)
資訊科學
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Avatar of 邱義塵.
Past
Data Engineer @Rooit Inc. (XO App)
2023 ~ 2023
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
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發使用新的推薦演算法 - 建立data to Bigquery/Redis 的 pipeline分流舊有MongoDB資料庫減少MongoDB巔峰時流量負荷 - 利用使用者在APP上的行為模式資料建立Knowledge Graph NEITHNET Inc., 資料科學家, Apr 2021~ Jan 2023 Python/Neo4J/Graph Neural Network/Data Analysis/SQL - 使用selenium從twitter, FB, PTT爬取上千位使用者資料和文章
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Data Analysis
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中國醫藥大學(China Medical University)
臨床醫學研究所
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Avatar of Chun-Jung Huang.
OPC Chief Engineer @TSMC
2020 ~ Present
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
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Chun-Jung Huang [email protected] Chiao-Tung University, Ph.D. - Photonics,2015 ~ 2020 Member of The Phi Tau Phi Scholastic Honor Society of the Republic of China. Work Experience TSMC, OPC Chief Engineer (MarPresent) ◆Introduced image anomaly detection techniques to identify and address defects in photomask manufacturing, significantly improving product quality and reducing turnaround time. ◆Managed large-scale data processing tasks, demonstrating expertise in analyzing and handling datasets of hundreds of millions, to bolster model development and optimization. ◆Excelled in distributed computing, optimizing code execution across thousands of systems to
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4-6 years
National Chiao-Tung University
Ph.D. - Clinical Engineering
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智慧製造全端開發工程師 @聯華電子股份有限公司
2022 ~ Present
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潘揚燊 ㄕㄣ Shen Pan Kaohsiung City,Taiwan •  [email protected] 希望職務:人工智慧、機器視覺應用開發工程師 現任 : 聯華電子 RPA 平台全端開發工程師 您好,我是潘揚燊,目前任職於 聯華電子 , 擔任 智慧製造 全端開發工程師 , 畢業於元智大學工業工程與管理學系研
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Qt
Git
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4-6 years
元智大學
工業工程與管理學系所
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Senior engineer @Chicony Electronics Co, Ltd.
2018 ~ Present
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C
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6-10 years
National Taiwan Ocean University
Computer science and engineering
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Avatar of 張國生.
技術經理 @SYSTEX 精誠資訊
2021 ~ Present
Hybrid Architect and Backend Engineer
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張國生 誤打誤撞進了雲領域 莫名其妙接了k8s 之前身為DBA的我 (但我不想再找DBA的工作) 對Cloud 這領域的"人"的"行事做風"還真是陌生阿 我喜歡後端及雲地整合 也想寫寫Golang及玩玩資料科學 期望於六月底專案告一段落能碰到好的機會離開現職 人
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臺灣國立空中大學
法律專班
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Offline
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Offline
技術部主管 @黑瘋科技股份有限公司
2019 ~ Present
AIOT開發工程師
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工程師疑難排解 APP WEB UX 規劃 第三方元件整合 Google Play / Apple Store 上架 兼任講師 • 東海大學 一月Present 主要教學C、C++、JAVA、PYTHON、物聯網、資料科學、機器學習、深度學習等等。 科技部計畫研究助理 • 東海大學 一月十二月 2019 協助撰寫科技部計畫 與林口長庚醫院羅
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6-10 years
Tunghai University
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黑瘋科技 - 技术团队主管
黑瘋科技股份有限公司
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Taichung City, Taiwan
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Print

賴泳瑄(Aimons)

Software Engineer

0986029578

[email protected]

大家好,我在大學期間創業開設飲料店持續經營5年,曾經同時管理2間店與12位工讀生,後來因為對於資訊的興趣繼續讀碩士,在碩士期間研究並學習AI與各種語言工具配合過5個科技部計畫,畢業後在東海擔任兼任講師與計畫助理,短暫一年間有在皚霖資訊開發醫療軟體系統,後續與廠商配合開發AI軟體並加入至黑瘋科技,至今在黑瘋科技期間開發過IOS/ANDROID APP、WEB、2D/3D GAME、LINUX設備都有配合過AI做出創新應用。

  • AI軟體開發
  • Web開發並上架
  • RESTful Api 串接
  • Unity遊戲開發並上架
  • Linux設備開發
  • Android, IOS App 軟體開發並上架 

  Taichung City, Taiwan   

技能


前端

  • Andorid Kotlin
  • IOS Swift
  • WEB Vue, Html, PHP, Javascript, Css, Ajax
  • Linux Tkinter
  • Unity
  • UI/UX Photoshop, illustrator, Blender, SketchUp
  • CI/CD Git



後端

  • Language Python, Php, Javascript
  • Host Services AWS, GCP 
  • Framework Laravel , Flask, Django
  • Database MySQL, MangoDB, Firebase
  • Container Docker

工作經歷

技術部主管  •  黑瘋科技股份有限公司

十二月 2019 - Present

研發beacon整體系統與產品、三軸整體系統與產品、九軸整體系統與產品,多種人工智慧系列產品。
管理人數 : 4, Android:1人, IOS:1人, Backend:1人, 設備: 1人
AI演算法撰寫與銜接
Android / IOS 藍牙底層SDK銜接
Android / IOS 專案框架及工程師疑難排解
APP WEB UX 規劃
第三方元件整合
Google Play / Apple Store 上架

兼任講師  •  東海大學

一月 2018 - Present

主要教學C、C++、JAVA、PYTHON、物聯網、資料科學、機器學習、深度學習等等。

科技部計畫研究助理  •  東海大學

一月 2018 - 十二月 2019

協助撰寫科技部計畫
與林口長庚醫院羅慧夫團隊配合製作AI齒顎矯正預測。
與台中榮總疾分師團隊配合製作AI疾分師醫囑分類ICD10。
與台中榮總配合製作X光片圖像辨識拍攝正確性。

技術部副理  •  皚霖資訊有限公司

一月 2018 - 一月 2019

協助醫療系統開發與測試
LINUX設備架構與開發
Web 開發上架維護
API串接

創業  •  歐趴飲料店

九月 2012 - 一月 2018

大學畢業後,開始自行創業,對於創業點子很多的我,希望能做出與別人有所不同並且試著實行,畢業就開始在東海商圈找尋可以承租的地點,開創改良飲料跟配料,並且以行動攤車將經營手搖茶,經過半年的努力生意開始好轉,經生意步入穩定後與工讀生,接著開始學習如何管理跟調配人力,工讀生的班次調配等等都花費相當大的心力,尤其是突然的請假的調班,還有各個員工不同習性的工作教學跟處理事情的態度教學,教持續經營了五年之久,後來因同時專注於碩士論文實作,時間無法調配,因而停止此項經營。

作品集


IMS員工管理系統

概要:

使用beacon技術綁定員工訊息,並使用樹梅派蒐集資訊,可以在非接觸環境下紀錄員工出勤、區域史、區域接觸史,並配合紅外線體溫計與環境感測器,可及時知道員工體溫狀況與室內外環境數據。

使用技術:

ibeacon、ble android/ios/linux SDK、kotlin、swift、firebase、Linux、python、aws cloudphp laravel、mySQL


ARES運動體感鞋

概要:

九軸感測器封裝至運動鞋內,配合運動軌跡辨識出使用者的左右腳步數、移動距離、運動軌跡、著地時間、騰空時間、內外旋傾角、著地姿勢、雙腳力道、有效力道、無效力道、配速、步頻等等運動資訊,藉由AI作數據分析給出評分與運動建議。正常測試使用體感芯片每1個月充電一次即可。

https://reurl.cc/090dEA 

https://reurl.cc/v0OprL 

使用技術:

bluetooth andorid/ios SDK、Unity、aws cloud、php laravel、python、keras、tensorflow、SQLite、mySQL


ILOLLY幼稚園管理系統

概要:

使用beacon技術綁定幼稚園孩童,並使用樹莓派蒐集資訊,可以在非接觸環境下紀錄孩童出勤、區域史、區域接觸史,並配合紅外線體溫計與環境感測器,可及時知道孩童體溫狀況與室內外環境數據,還設置家長與孩童的溝通看板。 

https://reurl.cc/bD83Mv

使用技術:

ibeacon、ble android/ios/linux SDK、kotlin、swift、firebase、Linux、python、aws cloudphp laravel、mySQL


TRAQ記步鞋

概要:

三軸感測器封裝至鞋內,不須充電可使用3-5年,配合記步演算法並傳輸資訊至APP,使用者無需24小時攜帶手機在身邊,鞋子本身的芯片會記錄7天資訊,只要7天內有靠近手機就會回傳7天資訊至APP並回傳雲端後台。

https://reurl.cc/L4rlA3

使用技術:

bluetooth andorid/ios SDK、kotlin、swift、firebase、aws cloud、php laravel、python、SQLite、mySQL


ISPORT兒童體感遊戲平台

概要:

使用九軸感測器製作多種體感遊戲多達50種,平台內設置帳號可記錄各個體感遊戲遊玩之紀錄,並依據整體紀錄分析上肢核心下肢各部位的運動量,細部分析包含肌力、耐力、柔軟度、爆發力、平衡、敏捷、協調等,製作出目標達成指標並與同學齡孩童排行,如有不足的部分平台會做推薦,讓孩童可以輕鬆玩遊戲並享受健康的樂趣。

使用技術:

bluetooth andorid/ios/windows SDK、Unity、aws cloud、php laravel、python、keras、tensorflow、SQLite、mySQL


智慧體感魔法棒

概要:

九軸感測器封裝至魔法棒內,訓練空間中軌跡路徑,在空中畫出單一字母或數字,依據畫出的內容呈現出對應的效果,目前使用魔法遊戲當作DEMO。

https://reurl.cc/E4l6oR 

使用技術:

bluetooth andorid/ios/windows SDK、Unity 、python、keras、tensorflow、SQLite


面料辨識linebot

概要:

建置並拍攝面料工廠內200張資料,接著訓練出面料特徵,使用者可以使用圖片或拍攝傳入linebot,經過API傳輸至後台辨識並回傳資料庫內所有面料之相似度,找出相同或相似高的面料,使業務、客戶、商品開發人員可以快速了解可使用的庫存位置與數量或各個可代替的面料位置與數量,也可以直接使用文字描述做面料快速搜尋





使用技術:

linebot、webhook、dialogflow、python、SQL、keras、tensorflow、flask、opencv、ngrok


設備管理系統

概要:

使用beacon技術綁定人員與設備訊息,並使用樹梅派蒐集資訊可以設置設備歸屬區域與管理負責人,APP可即時顯示所有設備存在位置與狀態,設備自動會被紀錄區域史軌跡與借出歸還紀錄,可以免去大量人力管理與負擔,系統內也可以設置設備保養紀錄與需保養警示。

使用技術:

ibeacon、ble android/ios/linux SDK、kotlin、swift、firebase、Linux、python、aws cloudphp laravel、MySQL


智慧體感羽球拍

概要:

九軸感測器封裝至羽球拍內,可紀錄每場羽球的所有內容,包含揮拍次數、回擊方式(正拍反拍殺球吊球)、最大速度、平均速度、揮拍效率、揮拍軌跡等,可依據所有內容給予揮拍建議與訓練方式。

使用技術:

bluetooth andorid/ios/windows SDK、Unity 、python、keras、tensorflow、SQLite


ATS樣品鞋管理系統

概要:

使用beacon技術綁定樣品鞋,並使用樹莓派蒐集資訊與掃描平台,綁定過的樣品鞋可以在ATS掃描平台上顯示出該鞋子所有資訊,每當樣品鞋在特定情況移出樣品室後台網頁會自動做紀錄並發出緊示。

使用技術:

ibeacon、ble linux SDK、Linux、firebase 、Vue、aws cloudphp laravel、MySQL


AI疾分師醫囑分類ICD10

概要:

在醫院體系內都會有一群疾分師專門藉由醫生的診斷與醫囑做疾病分類,往往訓練疾分師示非常耗時而且稀少的,除了需要學習大量的專業醫療知識也需時常更新每年度的疾病分類,我們與台中榮總簽署病患資料保密協議,使用10年間並符合ICD10的病患資料訓練,訓練Bio BERT神經網路並更改transformer機制做出前5大疾病分類編碼的可能性,方便疾分師做快速篩選免除大量查找的時間,準確度高達7成6。

技術:

python、ngrokflask、MySQL、keras、tensorflow、Django、Bio BERT


AI齒顎矯正預測 

概要:

齒顎矯正是一個包含外科手術、牙醫、美容外科三方面專業人員整合的技術,時常在矯正的過程中需要三方人員多次討論與檢討制定出齒顎矯正錨點(32個定位錨點),一來一回的討論時間往往好幾個月計算,我們與林口長庚羅慧夫齒顎矯正團隊簽署資料保密協議,使用5年間矯正前與矯正後的3D錨點資料做訓練,訓練三組個別的神經網路,外科手術訓練鄰近點,牙醫訓練咬合契合度,美容外科訓練左右對稱性與黃金比例,最後embedding model神經網路整合出三方面知識的最後預測錨點,方便齒顎矯正討論縮短至1至2個禮拜,預測錨點的結果與醫生最後決定的錨點重疊率高達8成。

技術:

python、ngrokflask、MySQL、keras、tensorflow、Django、embedding model 


X光片圖像辨識拍攝正確性

概要:

X光拍攝依據醫生醫囑決定拍攝部位,一間醫院不會設置過多X光機,因為操作人員的疏失或大量病患排隊X光機導致拍攝錯誤發生,往往病患需要來回診間多次才會知道拍攝錯誤,如果能在第一時間依據醫生醫囑與拍攝照片部位做比對,可以大幅降低拍攝錯誤情況發生,減少醫院X光機塞車的情況與醫院醫師之負擔,我們與台中榮總簽署病患X光照片保密協議,一開始在X光機上架設照相機蒐集300多張X光拍攝前照片與X光照,使用yolo神經網路做特徵提取並分析,可即時在拍攝X光照前辨識出部位,預測的部位與真實拍攝X光的部位準確率高達9成4。

技術:

python、ngrokflask、MySQL、keras、tensorflow、Django、Yolo


學歷

2015 - 2018

Tunghai University

資訊工程所



賴泳瑄(Aimons Lai)

Software Engineer

0986029578

[email protected]

Hello everyone, I started a Drink store and ran it for 5 years during college. I managed 2 stores and 12 parttime students at the same time. Later, I continued to study for a master's degree because of my interest in information. During the master's period, I researched and learned AI and different programing language tools. Cooperated with 5 Ministry of Science and Technology projects. After graduation, I worked as a part-time lecturer and planning assistant in 東海 University. For a short period of one year, I developed medical software systems at 皚霖 Technology Company. Later, I cooperated with manufacturers to develop AI software and joined AIHAVEFUN Technology Company. Now I developed IOS/ANDROID APP, WEB, 2D/3D GAME, and LINUX devices, all of which have cooperated with AI to make innovative applications.

  • AI software development
  • Web development and Publishment
  • RESTful Api development 
  • Unity development and Publishment
  • Linux device development
  • Android, IOS App  software development and Publishment

  Taichung City, Taiwan   

SKILL


Front-End

  • Andorid Kotlin
  • IOS Swift
  • WEB Vue, Html, PHP, Javascript, Css, Ajax
  • Linux Tkinter
  • Unity
  • UI/UX Photoshop, illustrator, Blender, SketchUp
  • CI/CD Git



Back-End

  • Language Python, Php, Javascript
  • Host Services AWS, GCP 
  • Framework Laravel , Flask, Django
  • Database MySQL, MangoDB, Firebase
  • Container Docker

EXPERIENCE

IT Supervisor  •  AIHAVEFUN Technology Co., Ltd.

December 2019 - Present

Research and develop beacon overall systems and products, three-axis overall systems and products, nine-axis overall systems and products, and a variety of artificial intelligence series products.

Number of managers: 4, Android: 1, IOS: 1, Backend: 1, Device: 1

AI algorithm development

Android / IOS Bluetooth SDK integration

Android/IOS project framework and engineer troubleshooting

APP WEB UX planning

Third-party component integration

Publish on Google Play / Apple Store

Part-time Lecturer  •  Tunghai University

January 2018 - Present

Mainly teaching C, C++, JAVA, PYTHON, Internet of Things, data science, machine learning, deep learning, etc.

Research Assistant  •  Tunghai University

January 2018 - December 2019

Assist in writing plans for the Ministry of Science and Technology

Collaborated with Luo Huifu’s team at Linkou Chang Gung Memorial Hospital to produce AI tooth and jaw correction predictions.

Worked with Taichung Veterans General Hospital’s disease diagnostic team to create AI disease diagnostician’s medical order classification ICD10.

Cooperate with Taichung Veterans General Hospital to produce X-ray images to identify the accuracy of shooting.

Assistant Manager of Technology Department  •  S.I-LINK CO., LTD.

January 2018 - January 2019

Assist with medical system development and testing

LINUX device architecture and development

Web development and maintenance

API connection

Startup  •  AllPass Drink Store

September 2012 - January 2018

After graduating from college, I started my own business. I had a lot of entrepreneurial ideas, so I hoped to be different from others and try to implement them. After graduation, I started looking for a place to rent in the Tunghai business district, and created improved beverages and ingredients. The mobile stall will operate hand-cranked tea. After half a year of hard work, the business started to improve. After the business stabilized, I started to learn how to manage and allocate manpower with the part-time students. It took a lot of effort to arrange the shifts of the part-time students. Especially the sudden shift, as well as the teaching of work habits and attitude of handling things with different employees. Continued for five years. Later, because it was focused on the implementation of the master's thesis at the same time, the time could not be allocated, so i was stopped this business.

Portfolio


IMS employee management system

Summary :

Use beacon technology to bind employee information and use raspberry pi to collect information. It can record employee attendance, regional history, and regional contact history in a non-contact environment. With infrared thermometers and environmental sensors, employees can know their temperature status and Indoor/outdoor environmental data in real time.

Technique :

ibeacon、ble android/ios/linux SDK、kotlin、swift、firebase、Linux、python、aws cloudphp laravel、mySQL


ARES sports shoes

Summary :

The nine-axis sensor is packaged into the sneaker and can identify the user's left and right steps, movement distance, movement trajectory, landing time, flight time, internal and external rotation angle, landing posture, foot strength, effective strength, ineffectiveness strength, pace, cadence, etc. are analyzed using AI to provide scores and exercise suggestions. For normal testing, the somatosensory chip can be charged once per month.

https://reurl.cc/090dEA 

https://reurl.cc/v0OprL 

Technique :

bluetooth andorid/ios SDK、Unity、aws cloud、php laravel、python、keras、tensorflow、SQLite、mySQL


ILOLLY Kindergarten Management System

Summary :

Using beacon technology to bind kindergarten children and using Raspberry Pi to collect information, children's attendance, regional history, and regional contact history can be recorded in a non-contact environment. With infrared thermometers and environmental sensors, children's body temperature status and Indoor and outdoor environmental data, and communication boards for parents and children.

https://reurl.cc/bD83Mv

Technique :

ibeacon、ble android/ios/linux SDK、kotlin、swift、firebase、Linux、python、aws cloudphp laravel、mySQL


TRAQ step tracking shoes

Summary :

The three-axis sensor is packaged into the shoe and can be used for 3-5 years without charging. It cooperates with the step counting algorithm and transmits information to the APP. Users do not need to carry their mobile phones anytime. The chip in the shoe itself will record 7 days of information. , as long as someone is close to the phone within 7 days, 7 days of information will be sent back to the APP and sent back to the cloud background. 

https://reurl.cc/L4rlA3

Technique :

bluetooth andorid/ios SDK、kotlin、swift、firebase、aws cloud、php laravel、python、SQLite、mySQL


ISPORT children's somatosensory game platform

Summary :

Use nine-axis sensors to create up to 50 types of various motion-sensing games. Set up an account on the platform to record the records of each motion-sensing game. Based on the overall record, the amount of exercise in each part of the upper limbs, core and lower limbs is analyzed. Detailed analysis includes muscle strength, endurance, Flexibility, explosive power, balance, agility, coordination, etc., create goal achievement indicators and rank them with children of the same age. If there are deficiencies, platforms will make recommendations, so that children can easily play games and enjoy healthy fun. 

Technique :

bluetooth andorid/ios/windows SDK、Unity、aws cloud、php laravel、python、keras、tensorflow、SQLite、mySQL


Smart motion magic wand

Summary :

The nine-axis sensor is packaged in a magic wand, and training trajectory path. Draw a single letter or number in the air. The corresponding effect is displayed based on the drawn content. Ues game for DEMO.

https://reurl.cc/E4l6oR 

Technique :

bluetooth andorid/ios/windows SDK、Unity 、python、keras、tensorflow、SQLite


Leather identification linebot

Summary :

Create and photograph 200 pieces of data in the leather factory, and then train the leather characteristics. Users can use pictures or photos to input to the linebot, and transmit it to the backend through the API to identify and return the similarity of all leathers in the database to find the same or leather with high similarity. Allow business, customers, and product developers to quickly understand the available inventory location and quantity or the location and quantity of each replaceable leathers . They can also directly use text descriptions to quickly search for leathers .





Technique :

linebot、webhook、dialogflow、python、SQL、keras、tensorflow、flask、opencv、ngrok


Equipment management system

Summary :

Use beacon technology to bind personnel and equipment information, and use Raspberry Pi to collect information. You can set the equipment ownership area and management person. The APP can instantly display the location and status of all equipment, and the equipment will automatically be recorded in the regional history and loan-Return records.it can eliminate a lot of manpower management and burden. Equipment maintenance records and maintenance-required warnings can also be set in the system.

Technique :

ibeacon、ble android/ios/linux SDK、kotlin、swift、firebase、Linux、python、aws cloudphp laravel、MySQL


Smart motion badminton racket

Summary :

The nine-axis sensor is packaged into the badminton racket and can record all the content of each badminton game, including the number of swings, return methods (forehand and backhand smashes and lobs), maximum speed, average speed, swing efficiency, swing Trajectories, etc., and swing suggestions and training methods can be given based on all content. 

Technique :

bluetooth andorid/ios/windows SDK、Unity 、python、keras、tensorflow、SQLite


ATS sample shoe management system

Summary :

Use beacon technology to bind sample shoes, and use Raspberry Pi to collect information and scan platform. The bounded sample shoes can display all the information about the shoes on the ATS scanning platform. When the sample shoes are moved out from the sample room, the backend web page will automatically record it and issue an alert.

Technique :

ibeacon、ble linux SDK、Linux、firebase 、Vue、aws cloudphp laravel、MySQL


AI Disease Classifier ICD10

Summary :

In the hospital system, there will be a group of pathologists who specialize in classifying diseases based on doctors’ diagnoses and orders. Training of pathologists is often very time-consuming and rare. In addition to learning a lot of professional medical knowledge, it also needs to be updated every year. For disease classification, we signed a patient data confidentiality agreement with Taichung Veterans General Hospital. We used patient data from 10 years and complied with ICD10 to train the Bio BERT neural network and changed the transformer mechanism to make it possible to code the top five disease classifications, which is convenient. The disease analyzer can perform quick screening without a lot of search time, and the accuracy is 76%. 

Technique :

python、ngrokflask、MySQL、keras、tensorflow、Django、Bio BERT


AI Orthodontic correction prediction 

Summary :

Orthodontic correction is a technology that involves the integration of professionals from surgery, dentistry, and aesthetic medicine. During the correction process, it often requires multiple discussions and reviews by the three parties to formulate orthodontic correction anchor points (32 positioning anchor points). A lot of discussions often take several months. We signed a data confidentiality agreement with the Linkou Chang Geng Luo Huifu Orthodontic  Correction Team, and used 3D anchor point data before and after correction for five years to train three groups of individual neural networks. Path, surgery trains adjacent points, dentists train occlusion fit, aesthetic medicine trains left and right symmetry and the golden ratio, and finally the embedding model neural network integrates the final prediction anchor point of the three aspects of knowledge, which facilitates shortening the discussion of Orthodontic correction to 1 to 2 weeks, the overlap rate between the predicted anchor point and the anchor point finally decided by the doctor was  80%.

Technique :

python、ngrokflask、MySQL、keras、tensorflow、Django、embedding model 


Correctness of X-ray image recognition and photograph

Summary :

X-ray photograph is determined based on the doctor's orders. A hospital will not build too many X-ray machines. Photograph errors occur due to operator errors or a lot of patients queuing. Patients often need to go back multiple times. then will be aware of photograph errors. If it can compare the photograph and the doctor's order at the same time, it can reduce the occurrence of photograph errors, then reduce the traffic jam in the hospital and Waste of manpower. We signed a patient X-ray photo NDA with Taichung Veterans General Hospital . Initially, a camera was set up on the X-ray machine to collect more than 300 pre-X-ray photos and X-rays. The yolo neural network was used for feature extraction and analysis to identify the parts immediately after taking the X-rays photograph . the accuracy of the predicted parts and the actual X-ray parts is 94%.

Technique :

python、ngrokflask、MySQL、keras、tensorflow、Django、Yolo


Education

2015 - 2018

Tunghai University

Computer Science and Information Engineering

Resume
Profile

賴泳瑄(Aimons)

Software Engineer

0986029578

[email protected]

大家好,我在大學期間創業開設飲料店持續經營5年,曾經同時管理2間店與12位工讀生,後來因為對於資訊的興趣繼續讀碩士,在碩士期間研究並學習AI與各種語言工具配合過5個科技部計畫,畢業後在東海擔任兼任講師與計畫助理,短暫一年間有在皚霖資訊開發醫療軟體系統,後續與廠商配合開發AI軟體並加入至黑瘋科技,至今在黑瘋科技期間開發過IOS/ANDROID APP、WEB、2D/3D GAME、LINUX設備都有配合過AI做出創新應用。

  • AI軟體開發
  • Web開發並上架
  • RESTful Api 串接
  • Unity遊戲開發並上架
  • Linux設備開發
  • Android, IOS App 軟體開發並上架 

  Taichung City, Taiwan   

技能


前端

  • Andorid Kotlin
  • IOS Swift
  • WEB Vue, Html, PHP, Javascript, Css, Ajax
  • Linux Tkinter
  • Unity
  • UI/UX Photoshop, illustrator, Blender, SketchUp
  • CI/CD Git



後端

  • Language Python, Php, Javascript
  • Host Services AWS, GCP 
  • Framework Laravel , Flask, Django
  • Database MySQL, MangoDB, Firebase
  • Container Docker

工作經歷

技術部主管  •  黑瘋科技股份有限公司

十二月 2019 - Present

研發beacon整體系統與產品、三軸整體系統與產品、九軸整體系統與產品,多種人工智慧系列產品。
管理人數 : 4, Android:1人, IOS:1人, Backend:1人, 設備: 1人
AI演算法撰寫與銜接
Android / IOS 藍牙底層SDK銜接
Android / IOS 專案框架及工程師疑難排解
APP WEB UX 規劃
第三方元件整合
Google Play / Apple Store 上架

兼任講師  •  東海大學

一月 2018 - Present

主要教學C、C++、JAVA、PYTHON、物聯網、資料科學、機器學習、深度學習等等。

科技部計畫研究助理  •  東海大學

一月 2018 - 十二月 2019

協助撰寫科技部計畫
與林口長庚醫院羅慧夫團隊配合製作AI齒顎矯正預測。
與台中榮總疾分師團隊配合製作AI疾分師醫囑分類ICD10。
與台中榮總配合製作X光片圖像辨識拍攝正確性。

技術部副理  •  皚霖資訊有限公司

一月 2018 - 一月 2019

協助醫療系統開發與測試
LINUX設備架構與開發
Web 開發上架維護
API串接

創業  •  歐趴飲料店

九月 2012 - 一月 2018

大學畢業後,開始自行創業,對於創業點子很多的我,希望能做出與別人有所不同並且試著實行,畢業就開始在東海商圈找尋可以承租的地點,開創改良飲料跟配料,並且以行動攤車將經營手搖茶,經過半年的努力生意開始好轉,經生意步入穩定後與工讀生,接著開始學習如何管理跟調配人力,工讀生的班次調配等等都花費相當大的心力,尤其是突然的請假的調班,還有各個員工不同習性的工作教學跟處理事情的態度教學,教持續經營了五年之久,後來因同時專注於碩士論文實作,時間無法調配,因而停止此項經營。

作品集


IMS員工管理系統

概要:

使用beacon技術綁定員工訊息,並使用樹梅派蒐集資訊,可以在非接觸環境下紀錄員工出勤、區域史、區域接觸史,並配合紅外線體溫計與環境感測器,可及時知道員工體溫狀況與室內外環境數據。

使用技術:

ibeacon、ble android/ios/linux SDK、kotlin、swift、firebase、Linux、python、aws cloudphp laravel、mySQL


ARES運動體感鞋

概要:

九軸感測器封裝至運動鞋內,配合運動軌跡辨識出使用者的左右腳步數、移動距離、運動軌跡、著地時間、騰空時間、內外旋傾角、著地姿勢、雙腳力道、有效力道、無效力道、配速、步頻等等運動資訊,藉由AI作數據分析給出評分與運動建議。正常測試使用體感芯片每1個月充電一次即可。

https://reurl.cc/090dEA 

https://reurl.cc/v0OprL 

使用技術:

bluetooth andorid/ios SDK、Unity、aws cloud、php laravel、python、keras、tensorflow、SQLite、mySQL


ILOLLY幼稚園管理系統

概要:

使用beacon技術綁定幼稚園孩童,並使用樹莓派蒐集資訊,可以在非接觸環境下紀錄孩童出勤、區域史、區域接觸史,並配合紅外線體溫計與環境感測器,可及時知道孩童體溫狀況與室內外環境數據,還設置家長與孩童的溝通看板。 

https://reurl.cc/bD83Mv

使用技術:

ibeacon、ble android/ios/linux SDK、kotlin、swift、firebase、Linux、python、aws cloudphp laravel、mySQL


TRAQ記步鞋

概要:

三軸感測器封裝至鞋內,不須充電可使用3-5年,配合記步演算法並傳輸資訊至APP,使用者無需24小時攜帶手機在身邊,鞋子本身的芯片會記錄7天資訊,只要7天內有靠近手機就會回傳7天資訊至APP並回傳雲端後台。

https://reurl.cc/L4rlA3

使用技術:

bluetooth andorid/ios SDK、kotlin、swift、firebase、aws cloud、php laravel、python、SQLite、mySQL


ISPORT兒童體感遊戲平台

概要:

使用九軸感測器製作多種體感遊戲多達50種,平台內設置帳號可記錄各個體感遊戲遊玩之紀錄,並依據整體紀錄分析上肢核心下肢各部位的運動量,細部分析包含肌力、耐力、柔軟度、爆發力、平衡、敏捷、協調等,製作出目標達成指標並與同學齡孩童排行,如有不足的部分平台會做推薦,讓孩童可以輕鬆玩遊戲並享受健康的樂趣。

使用技術:

bluetooth andorid/ios/windows SDK、Unity、aws cloud、php laravel、python、keras、tensorflow、SQLite、mySQL


智慧體感魔法棒

概要:

九軸感測器封裝至魔法棒內,訓練空間中軌跡路徑,在空中畫出單一字母或數字,依據畫出的內容呈現出對應的效果,目前使用魔法遊戲當作DEMO。

https://reurl.cc/E4l6oR 

使用技術:

bluetooth andorid/ios/windows SDK、Unity 、python、keras、tensorflow、SQLite


面料辨識linebot

概要:

建置並拍攝面料工廠內200張資料,接著訓練出面料特徵,使用者可以使用圖片或拍攝傳入linebot,經過API傳輸至後台辨識並回傳資料庫內所有面料之相似度,找出相同或相似高的面料,使業務、客戶、商品開發人員可以快速了解可使用的庫存位置與數量或各個可代替的面料位置與數量,也可以直接使用文字描述做面料快速搜尋





使用技術:

linebot、webhook、dialogflow、python、SQL、keras、tensorflow、flask、opencv、ngrok


設備管理系統

概要:

使用beacon技術綁定人員與設備訊息,並使用樹梅派蒐集資訊可以設置設備歸屬區域與管理負責人,APP可即時顯示所有設備存在位置與狀態,設備自動會被紀錄區域史軌跡與借出歸還紀錄,可以免去大量人力管理與負擔,系統內也可以設置設備保養紀錄與需保養警示。

使用技術:

ibeacon、ble android/ios/linux SDK、kotlin、swift、firebase、Linux、python、aws cloudphp laravel、MySQL


智慧體感羽球拍

概要:

九軸感測器封裝至羽球拍內,可紀錄每場羽球的所有內容,包含揮拍次數、回擊方式(正拍反拍殺球吊球)、最大速度、平均速度、揮拍效率、揮拍軌跡等,可依據所有內容給予揮拍建議與訓練方式。

使用技術:

bluetooth andorid/ios/windows SDK、Unity 、python、keras、tensorflow、SQLite


ATS樣品鞋管理系統

概要:

使用beacon技術綁定樣品鞋,並使用樹莓派蒐集資訊與掃描平台,綁定過的樣品鞋可以在ATS掃描平台上顯示出該鞋子所有資訊,每當樣品鞋在特定情況移出樣品室後台網頁會自動做紀錄並發出緊示。

使用技術:

ibeacon、ble linux SDK、Linux、firebase 、Vue、aws cloudphp laravel、MySQL


AI疾分師醫囑分類ICD10

概要:

在醫院體系內都會有一群疾分師專門藉由醫生的診斷與醫囑做疾病分類,往往訓練疾分師示非常耗時而且稀少的,除了需要學習大量的專業醫療知識也需時常更新每年度的疾病分類,我們與台中榮總簽署病患資料保密協議,使用10年間並符合ICD10的病患資料訓練,訓練Bio BERT神經網路並更改transformer機制做出前5大疾病分類編碼的可能性,方便疾分師做快速篩選免除大量查找的時間,準確度高達7成6。

技術:

python、ngrokflask、MySQL、keras、tensorflow、Django、Bio BERT


AI齒顎矯正預測 

概要:

齒顎矯正是一個包含外科手術、牙醫、美容外科三方面專業人員整合的技術,時常在矯正的過程中需要三方人員多次討論與檢討制定出齒顎矯正錨點(32個定位錨點),一來一回的討論時間往往好幾個月計算,我們與林口長庚羅慧夫齒顎矯正團隊簽署資料保密協議,使用5年間矯正前與矯正後的3D錨點資料做訓練,訓練三組個別的神經網路,外科手術訓練鄰近點,牙醫訓練咬合契合度,美容外科訓練左右對稱性與黃金比例,最後embedding model神經網路整合出三方面知識的最後預測錨點,方便齒顎矯正討論縮短至1至2個禮拜,預測錨點的結果與醫生最後決定的錨點重疊率高達8成。

技術:

python、ngrokflask、MySQL、keras、tensorflow、Django、embedding model 


X光片圖像辨識拍攝正確性

概要:

X光拍攝依據醫生醫囑決定拍攝部位,一間醫院不會設置過多X光機,因為操作人員的疏失或大量病患排隊X光機導致拍攝錯誤發生,往往病患需要來回診間多次才會知道拍攝錯誤,如果能在第一時間依據醫生醫囑與拍攝照片部位做比對,可以大幅降低拍攝錯誤情況發生,減少醫院X光機塞車的情況與醫院醫師之負擔,我們與台中榮總簽署病患X光照片保密協議,一開始在X光機上架設照相機蒐集300多張X光拍攝前照片與X光照,使用yolo神經網路做特徵提取並分析,可即時在拍攝X光照前辨識出部位,預測的部位與真實拍攝X光的部位準確率高達9成4。

技術:

python、ngrokflask、MySQL、keras、tensorflow、Django、Yolo


學歷

2015 - 2018

Tunghai University

資訊工程所



賴泳瑄(Aimons Lai)

Software Engineer

0986029578

[email protected]

Hello everyone, I started a Drink store and ran it for 5 years during college. I managed 2 stores and 12 parttime students at the same time. Later, I continued to study for a master's degree because of my interest in information. During the master's period, I researched and learned AI and different programing language tools. Cooperated with 5 Ministry of Science and Technology projects. After graduation, I worked as a part-time lecturer and planning assistant in 東海 University. For a short period of one year, I developed medical software systems at 皚霖 Technology Company. Later, I cooperated with manufacturers to develop AI software and joined AIHAVEFUN Technology Company. Now I developed IOS/ANDROID APP, WEB, 2D/3D GAME, and LINUX devices, all of which have cooperated with AI to make innovative applications.

  • AI software development
  • Web development and Publishment
  • RESTful Api development 
  • Unity development and Publishment
  • Linux device development
  • Android, IOS App  software development and Publishment

  Taichung City, Taiwan   

SKILL


Front-End

  • Andorid Kotlin
  • IOS Swift
  • WEB Vue, Html, PHP, Javascript, Css, Ajax
  • Linux Tkinter
  • Unity
  • UI/UX Photoshop, illustrator, Blender, SketchUp
  • CI/CD Git



Back-End

  • Language Python, Php, Javascript
  • Host Services AWS, GCP 
  • Framework Laravel , Flask, Django
  • Database MySQL, MangoDB, Firebase
  • Container Docker

EXPERIENCE

IT Supervisor  •  AIHAVEFUN Technology Co., Ltd.

December 2019 - Present

Research and develop beacon overall systems and products, three-axis overall systems and products, nine-axis overall systems and products, and a variety of artificial intelligence series products.

Number of managers: 4, Android: 1, IOS: 1, Backend: 1, Device: 1

AI algorithm development

Android / IOS Bluetooth SDK integration

Android/IOS project framework and engineer troubleshooting

APP WEB UX planning

Third-party component integration

Publish on Google Play / Apple Store

Part-time Lecturer  •  Tunghai University

January 2018 - Present

Mainly teaching C, C++, JAVA, PYTHON, Internet of Things, data science, machine learning, deep learning, etc.

Research Assistant  •  Tunghai University

January 2018 - December 2019

Assist in writing plans for the Ministry of Science and Technology

Collaborated with Luo Huifu’s team at Linkou Chang Gung Memorial Hospital to produce AI tooth and jaw correction predictions.

Worked with Taichung Veterans General Hospital’s disease diagnostic team to create AI disease diagnostician’s medical order classification ICD10.

Cooperate with Taichung Veterans General Hospital to produce X-ray images to identify the accuracy of shooting.

Assistant Manager of Technology Department  •  S.I-LINK CO., LTD.

January 2018 - January 2019

Assist with medical system development and testing

LINUX device architecture and development

Web development and maintenance

API connection

Startup  •  AllPass Drink Store

September 2012 - January 2018

After graduating from college, I started my own business. I had a lot of entrepreneurial ideas, so I hoped to be different from others and try to implement them. After graduation, I started looking for a place to rent in the Tunghai business district, and created improved beverages and ingredients. The mobile stall will operate hand-cranked tea. After half a year of hard work, the business started to improve. After the business stabilized, I started to learn how to manage and allocate manpower with the part-time students. It took a lot of effort to arrange the shifts of the part-time students. Especially the sudden shift, as well as the teaching of work habits and attitude of handling things with different employees. Continued for five years. Later, because it was focused on the implementation of the master's thesis at the same time, the time could not be allocated, so i was stopped this business.

Portfolio


IMS employee management system

Summary :

Use beacon technology to bind employee information and use raspberry pi to collect information. It can record employee attendance, regional history, and regional contact history in a non-contact environment. With infrared thermometers and environmental sensors, employees can know their temperature status and Indoor/outdoor environmental data in real time.

Technique :

ibeacon、ble android/ios/linux SDK、kotlin、swift、firebase、Linux、python、aws cloudphp laravel、mySQL


ARES sports shoes

Summary :

The nine-axis sensor is packaged into the sneaker and can identify the user's left and right steps, movement distance, movement trajectory, landing time, flight time, internal and external rotation angle, landing posture, foot strength, effective strength, ineffectiveness strength, pace, cadence, etc. are analyzed using AI to provide scores and exercise suggestions. For normal testing, the somatosensory chip can be charged once per month.

https://reurl.cc/090dEA 

https://reurl.cc/v0OprL 

Technique :

bluetooth andorid/ios SDK、Unity、aws cloud、php laravel、python、keras、tensorflow、SQLite、mySQL


ILOLLY Kindergarten Management System

Summary :

Using beacon technology to bind kindergarten children and using Raspberry Pi to collect information, children's attendance, regional history, and regional contact history can be recorded in a non-contact environment. With infrared thermometers and environmental sensors, children's body temperature status and Indoor and outdoor environmental data, and communication boards for parents and children.

https://reurl.cc/bD83Mv

Technique :

ibeacon、ble android/ios/linux SDK、kotlin、swift、firebase、Linux、python、aws cloudphp laravel、mySQL


TRAQ step tracking shoes

Summary :

The three-axis sensor is packaged into the shoe and can be used for 3-5 years without charging. It cooperates with the step counting algorithm and transmits information to the APP. Users do not need to carry their mobile phones anytime. The chip in the shoe itself will record 7 days of information. , as long as someone is close to the phone within 7 days, 7 days of information will be sent back to the APP and sent back to the cloud background. 

https://reurl.cc/L4rlA3

Technique :

bluetooth andorid/ios SDK、kotlin、swift、firebase、aws cloud、php laravel、python、SQLite、mySQL


ISPORT children's somatosensory game platform

Summary :

Use nine-axis sensors to create up to 50 types of various motion-sensing games. Set up an account on the platform to record the records of each motion-sensing game. Based on the overall record, the amount of exercise in each part of the upper limbs, core and lower limbs is analyzed. Detailed analysis includes muscle strength, endurance, Flexibility, explosive power, balance, agility, coordination, etc., create goal achievement indicators and rank them with children of the same age. If there are deficiencies, platforms will make recommendations, so that children can easily play games and enjoy healthy fun. 

Technique :

bluetooth andorid/ios/windows SDK、Unity、aws cloud、php laravel、python、keras、tensorflow、SQLite、mySQL


Smart motion magic wand

Summary :

The nine-axis sensor is packaged in a magic wand, and training trajectory path. Draw a single letter or number in the air. The corresponding effect is displayed based on the drawn content. Ues game for DEMO.

https://reurl.cc/E4l6oR 

Technique :

bluetooth andorid/ios/windows SDK、Unity 、python、keras、tensorflow、SQLite


Leather identification linebot

Summary :

Create and photograph 200 pieces of data in the leather factory, and then train the leather characteristics. Users can use pictures or photos to input to the linebot, and transmit it to the backend through the API to identify and return the similarity of all leathers in the database to find the same or leather with high similarity. Allow business, customers, and product developers to quickly understand the available inventory location and quantity or the location and quantity of each replaceable leathers . They can also directly use text descriptions to quickly search for leathers .





Technique :

linebot、webhook、dialogflow、python、SQL、keras、tensorflow、flask、opencv、ngrok


Equipment management system

Summary :

Use beacon technology to bind personnel and equipment information, and use Raspberry Pi to collect information. You can set the equipment ownership area and management person. The APP can instantly display the location and status of all equipment, and the equipment will automatically be recorded in the regional history and loan-Return records.it can eliminate a lot of manpower management and burden. Equipment maintenance records and maintenance-required warnings can also be set in the system.

Technique :

ibeacon、ble android/ios/linux SDK、kotlin、swift、firebase、Linux、python、aws cloudphp laravel、MySQL


Smart motion badminton racket

Summary :

The nine-axis sensor is packaged into the badminton racket and can record all the content of each badminton game, including the number of swings, return methods (forehand and backhand smashes and lobs), maximum speed, average speed, swing efficiency, swing Trajectories, etc., and swing suggestions and training methods can be given based on all content. 

Technique :

bluetooth andorid/ios/windows SDK、Unity 、python、keras、tensorflow、SQLite


ATS sample shoe management system

Summary :

Use beacon technology to bind sample shoes, and use Raspberry Pi to collect information and scan platform. The bounded sample shoes can display all the information about the shoes on the ATS scanning platform. When the sample shoes are moved out from the sample room, the backend web page will automatically record it and issue an alert.

Technique :

ibeacon、ble linux SDK、Linux、firebase 、Vue、aws cloudphp laravel、MySQL


AI Disease Classifier ICD10

Summary :

In the hospital system, there will be a group of pathologists who specialize in classifying diseases based on doctors’ diagnoses and orders. Training of pathologists is often very time-consuming and rare. In addition to learning a lot of professional medical knowledge, it also needs to be updated every year. For disease classification, we signed a patient data confidentiality agreement with Taichung Veterans General Hospital. We used patient data from 10 years and complied with ICD10 to train the Bio BERT neural network and changed the transformer mechanism to make it possible to code the top five disease classifications, which is convenient. The disease analyzer can perform quick screening without a lot of search time, and the accuracy is 76%. 

Technique :

python、ngrokflask、MySQL、keras、tensorflow、Django、Bio BERT


AI Orthodontic correction prediction 

Summary :

Orthodontic correction is a technology that involves the integration of professionals from surgery, dentistry, and aesthetic medicine. During the correction process, it often requires multiple discussions and reviews by the three parties to formulate orthodontic correction anchor points (32 positioning anchor points). A lot of discussions often take several months. We signed a data confidentiality agreement with the Linkou Chang Geng Luo Huifu Orthodontic  Correction Team, and used 3D anchor point data before and after correction for five years to train three groups of individual neural networks. Path, surgery trains adjacent points, dentists train occlusion fit, aesthetic medicine trains left and right symmetry and the golden ratio, and finally the embedding model neural network integrates the final prediction anchor point of the three aspects of knowledge, which facilitates shortening the discussion of Orthodontic correction to 1 to 2 weeks, the overlap rate between the predicted anchor point and the anchor point finally decided by the doctor was  80%.

Technique :

python、ngrokflask、MySQL、keras、tensorflow、Django、embedding model 


Correctness of X-ray image recognition and photograph

Summary :

X-ray photograph is determined based on the doctor's orders. A hospital will not build too many X-ray machines. Photograph errors occur due to operator errors or a lot of patients queuing. Patients often need to go back multiple times. then will be aware of photograph errors. If it can compare the photograph and the doctor's order at the same time, it can reduce the occurrence of photograph errors, then reduce the traffic jam in the hospital and Waste of manpower. We signed a patient X-ray photo NDA with Taichung Veterans General Hospital . Initially, a camera was set up on the X-ray machine to collect more than 300 pre-X-ray photos and X-rays. The yolo neural network was used for feature extraction and analysis to identify the parts immediately after taking the X-rays photograph . the accuracy of the predicted parts and the actual X-ray parts is 94%.

Technique :

python、ngrokflask、MySQL、keras、tensorflow、Django、Yolo


Education

2015 - 2018

Tunghai University

Computer Science and Information Engineering