Competition Results

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Competition	Area	Awards	Team	Title
2020 International Computer Symposium (ICS2020)	International	Second Best Paper	Chuan-Yu Chang	F-AnoGAN Application on Components Inspection of Memory Modules
The 34th World Genius Convention and Education Expo 2020	International	Gold Award	Ming-Hwa Sheu	System and Method of Deep Learning Auto-proof Traffic Violation Vehicles
The 34th World Genius Convention and Education Expo 2020	International	Gold Award	Chung-Wen Hung	Smooth-tread Recognition System and Method of Light Source
2020 11th International Innovation and Invention Competition	International	Gold Award	Chuan-Yu Chang	Application of Deep Learning in Solder Joint Inspection of DRAM Module
2020 11th International Innovation and Invention Competition	International	Gold Award	Chuan-Yu Chang	Tire Bubble Defects Detection Based On Incremental Yolo
2020泛珠三角+大學生計算機作品賽總決賽	International	First Prize, Best Innovation Award	Chuan-Yu Chang	Application of Deep Learning in Solder Joint Inspection of DRAM Module
2020泛珠三角+大學生計算機作品賽總決賽	International	Third Prize	Chien-Chou Lin	Automated Shoe Upper Fabric Typesetting System
2020 Robot Competition	Domestic	Honorable Mention Award	Hsien-Huang P. Wu	–
2020 Future Tech	Domestic	Future Technology Breakthrough Award	Chuan-Yu Chang	Zero-contact Detection – Facial Stroke, Breathing and Heart Rate Detection Technology
2020 Taiwan Innotech Expo Invention Competition	Domestic	Gold Award	Wen-Fong Wang	Gait Analysis System Based on Three-axis Acceleration Sensing Technology
2020 Taiwan Innotech Expo Invention Competition	Domestic	Gold Award	Shr-Chang Shia	Deep Learning Combined with Structured Light in Free Space Detection Application
2020 Taiwan Innotech Expo Invention Competition	Domestic	Bronze Award	Chuan-Yu Chang Ching-Ju Chen	Buoy Location Monitoring Method and Buoy Location Monitoring System
2019 10th International Innovation and Invention Competition	International	Gold Medal	Chuan-Yu Chang	Facial-Heart Rate and Respiration Detection System
2019 10th International Innovation and Invention Competition	International	Gold Medal	Chuan-Yu Chang	Tire Bubble Defect Detection Based on Faster R-CNN
2019 Ukraine International Invention Exhibition	International	Gold Medal	Ming-Hwa Sheu	IOT Application that Implement Automatic Photography with Sound Recognition
2019 15th Seoul International Invention Fair	International	Silver Medal	Chian-Cheng Ho	Indoor and Outdoor Augmented Reality Path Navigation and Reminder Note for Early Dementia Patients
2019 Pan-Pearl River Delta University Student Projects Final Competition at Macao Polytechnic Institute	International	Silver Medal	Chien-Chou Lin	VR Interactive Device Apply to Fishing Rod
2019 Pan-Pearl River Delta University Student Projects Final Competition at Macao Polytechnic Institute	International	First Prize and Best Practical Prize	Chuan-Yu Chang	Tire Bubble Defect Detection Based on Faster R-CNN
1st Intelligent IOT Project Competition	Domestic	Automotive Electronics or Transportation Application Group – Gold Award	Ching-Lung Su	Video-Type Multi-Lens Fusion Vehicle Electronic Rearview Mirror Integrated with Vehicle Side Blind Zone Detection Warning System
2019 National Technological and Vocational College Student Practice Project Production Competition	Domestic	Electrical Engineering Group 2nd Place	Ching-Lung Su	Fully Automatic Calibration Vehicle Surround View Display System Fusion Moving Object Detection
2019 Industrial Development Bureau – AI New Generation Talent Training Program	Domestic	Shortlisted	Hsien-Huang Wu	Advanced Radiotech Corporation (ARC)/Wireless Receiver AI Automatic Identification Detection System Chiayi City Police Bureau / AI Intelligent Image Recognition Analysis and Smart Retrieval System


Name of Technology	Automatic inspection technology for golf surface defects
Developer of Technology	Department of Electrical Engineering Hsien-Huang P. Wu , Distinguished Professor
Summary of Technology	The inspector will proceed the inspection over the uneven and non-flat surface of a golf ball to detect several types of surface defects – for example, dents, burs and scratch which damages the surface. For a given 11 types of various defect, the detection rate is about 97% and speed of the inspection is about 23 balls per minute.


Name of Technology	AOI Detection Technology for Appearance Defects of Memory Module Products
Developer of Technology	Director, IRIS Research Center Department of Computer Science and Information Engineering Chuan-Yu Chang, Distinguished Professor
Summary of Technology	Proceed AI model training with deep learning network framework, and develop AI technology for “Defective Image Classification”. The accuracy rate of defect classification is more than 99%, which effectively solves the problem of high misjudgment ratio of traditional optical inspection equipment and the need for a large number of manual re-examinations.


Name of Technology	Chamfering Tool Diagnosis System
Developer of Technology	Department of Electrical Engineering Chung-Wen Hung, Associate Professor
Summary of Technology	It is currently used in the diagnosis of chamfering tools. In the future, by reading the processing signals of different machines, and retraining the model that meets the application from the collected data, then detect the abnormality. Achieve the same anomaly detection effect, improve the overall efficiency and yield of the production line.


Name of Technology	Facial-Heart Rate and Stroke Detection System
Developer of Technology	Director, IRIS Research Center Department of Computer Science and Information Engineering Chuan-Yu Chang, Distinguished Professor
Summary of Technology	By recognizing facial muscle change, such as crooked eyes, squinted eyes and other functions to defect the risk of facial stroke. In order to observe the micro-vibration of the head due to the contraction of the heart, develop a non-contact facial heart rate detection technology.
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Name of Technology	Drunk Driving Sensing System based on Heartbeat Micro – Quiver Sensing Technology
Developer of Technology	Department of Computer Science and Information Engineering Wen-Fong Wang, Associate Professor
Summary of Technology	The system can measure the heartbeat vibrations by setting it on the steering wheel or other places that are in direct contact with the body, or it can be applied to personal 3C items such as smart bracelets. This technology can be installed on the steering wheel or seat in car, with the alarm system and cloud database, it can immediately detect whether the driver is drinking or not, and prevent this kind of behavior or notify affected members to the scene to deal with it.


Name of Technology	Using Hyperspectral Technology Develop Agriculture 4.0 with Coffee Bean Quality Management as an Example
Developer of Technology	Department of Computer Science and Information Engineering Shih-Yu Chen, Associate Professor
Summary of Technology	In the past, coffee merchants used manpower and eyes to pick defective coffee beans, for example: moths. Now it can be identified through intelligent image recognition, also can reduce manpower, costs, and wrong judgments.
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Name of Technology	Thyroid Image Diagnosis Technology
Developer of Technology	Director, IRIS Research Center Department of Computer Science and Information Engineering Chuan-Yu Chang, Distinguished Professor
Summary of Technology	This technology assists doctors during clinical diagnosis to reduce the difficulty in diagnosis, decrease the inspection time and improve the diagnosis rate. The contributions are as follows. (1) Realization of automatic thyroid gland segmentation in various medical images, (2) Segmentation and classification of thyroid nodules in ultrasound images, (3) Volume estimation of the thyroid gland in ultrasound images, (4) Segmentation of thyroid tumors and (5) automatic detection of the Graves disease in the thyroid gland.


Name of Technology	Infant Crying Translator
Developer of Technology	Director, IRIS Research Center Department of Computer Science and Information Engineering Chuan-Yu Chang, Distinguished Professor
Summary of Technology	Before learning how to express the emotions or physiological/psychological requirements with language, infants usually express how they feel to parents through crying. We have collected more than 2,000,000 infant cries. Machine learning and the big data analysis techniques are used to automatically adapt the crying model for each infant. The cloud system is built to collect and analyze the cries. Infant Crying Translator recognizes four types of infant crying, including being hungry, in pain, wet-diaper and sleepy. Experimental results have revealed good performance of the proposed system, the recognition accuracy is up to 92%, 85.4%, 83.8%, and 77% for infants born within 2 weeks, 1 month, 2 months, and 4 months, respectively.
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Name of Technology	Smart Baby Monitor
Developer of Technology	Director, IRIS Research Center Department of Computer Science and Information Engineering Chuan-Yu Chang, Distinguished Professor
Summary of Technology	Obstruction of the nose and mouth by vomit or quilts is the main cause of sudden infant death. Different baby sleeping postures will increase the difficulty of face detection. Therefore, a deep learning neural network is adopted to detect baby faces and a novel algorithm is proposed to detect vomiting of infants. The proposed method can detect baby’s face effectively under the complex background and various illumination conditions. The system can help parents monitor the baby whether his/her mouth and nose is covered with vomit or quilt. The system can real-time notification to parents, to improve infant safety and reduce the burden on parents.