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陳昱希 Computer Vision Engineer Yu-Hsi Chen has rich experience in developing computer vision and machine learning algorithms. In his recent work at Academia Sinica, he has focused on using machine learning to solve traditional computer vision and image / video processing problems. His developed NeighborTrack is a state-of-the-art single object tracking system in the field. During his school days, he used verilog on FPGA to implement the 3A system of the camera. website: Yu-hsi Chen (franktpmvu.github.io) Taipei City, Taiwan Yu-hsi Chen (franktpmvu.github

in first 2 weeks Supervised EV charger roadmaps of web/ mobile platforms by user stories and acceptance criteria in the Scrum methodology, working with design, hardware, firmware, backend, frontend, QA teams across different countries Directed NPI product line roadmaps of electric boats with Wi-Fi connection, Digital-Twin dashboards, Computer Vision application and vessel mobile app for inland cruising markets Built the e-boat prototype from 0 to 1 in 4 months and the following 4 iterations in a year to verify the specification, cost target, schedule and logistics with cross-functional teams for mass production Product Manager • WeMo

Driving Car】 Perception Developed sensor fusion algorithms that combine data from multiple sensors (L iDAR , radar, camera, etc.) to generate a more accurate and reliable understanding of the environment. Software Integration System integration and real car tests at Taiwan CAR Lab and Taipei University. Education National Taipei University of Technology Institute of Mechatronic Engineering •【Research Field】 - Computer vision and image processing - Advanced Driver Assistance Systems (ADAS) 【Journal and Conference】 - SCI paper is accepted Around View Monitoring-Based Vacant Parking Space Detection and Analysis - Oral presentations at conference A visual method for the detection of available parking slots

劉佳格 現服務於同致電子超聲波研發部門，專職於自動停車輔助系統的算法開發，畢業於台灣科技大學電子所，研究方向為機器學習、電腦視覺與深度學習。 台北市，，[email protected] 研究領域 Machine Learning Computer Vision Deep Learning 程式語言 C Python Java 開發環境/工具 Visual Studio Eclipse Docker

這些商店的建立其實是CSE的痛苦來源，枯燥繁瑣，這個工具則讓設定新商店不再耗腦力和耐力，而且節省90%人工時間。 FAE Umbo Computer Vision 盾心科技 • MayAugust 2021 俊諺主要的工作目標是提供客戶即時的技術支援及問題排除，讓客戶持續滿意公司產品及服務，進而

的系統規劃、開發、維護 4.RS232、Socket、TCP/IP通訊元件測試開發 5.影像處理演算法開發(Halcon) 八月一月 2017 學生 臺北市立大學 research computer vision 學歷Taipei Municipal University of Education 資訊科學系嶺東科技大學 資訊科技系 專案 Project Name Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh. Project Name Lorem ipsum dolor sit amet, consectetuer

/ Metric Spaces Theory Professions Research and implements Algorithm developments Data structures Design patterns Deep Learning Keras + TensorFlow OpenCV CNN / GAN Languages Mandarin Chinese Taiwanese English, TOEIC 945 Work Experience Senior Algorithm Development Engineer, Dec 2020 ~ now Benano Inc. Algorithm Developments Developing and maintaining algorithms about 3D computer vision, AOI, structured light sensors, and mesh reconstruction. Coordinator of 3D mesh / structural analysis team, Oct 2018 ~ Nov 2020 XYZprinting 3D printer Inc. Coordinator Duties Planning weekly workloads, mentoring, and training up my members. Heading research projects and discovering potential applications. Algorithm Developments Heading