author Chanho Hwang 
2nd author  
presenter Chanho Hwang 
info  
year 2016 
category IC 
start / end date 2016.10.13 
city / nation 2016.10.14 
학회 SISE 
keywords Inventory management, Deep learning, Support Vector Machine, 3D-camera, ingeger program 
abstract Inventory management has been treated as an important subject in the manufacturing industry. There are many kinds of technologies and research using barcode and RFID(Radio Frequency identification) technology. But, most inventory warehouses check their real inventory once or twice a year in order to find calculate differences from the online inventory. To reduce this kind of effort and cost, we need a new system using other technology.
Because of this reason, this research will suggest a new inventory management system using Deep Learning, the Support Vector Machine, and 3D-Camera technology. Research consists of three main parts. First, the 3D-Camera acquires the color of the inventory color and picture of the depth. Second, it finds the inventory type using Deep-Learning and Support Vector Machine technology. Third, the system counts the inventory quantity using depth data. This research includes some constraint conditions and assumptions. But it can be useful in real-life industry. By completing this process, we will be able to make sure that the real inventory amount and the inventory amount online correspond at all times. 

학회발표

번호 category 학회 제목 author presenter year
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92 IC  FAIM 2016  A Study on the Distributed Vehicle Routing Problem of emergency vehicle fleet in the Disaster Scene file Sumin Han  Sumin Han  2016 
91 IC  INFORMS  A Study on emergency logistics problem after massive natural disaster Sumin Han  Sumin Han  2014 
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89 IC  SICEAS  INTERACTIVE PLACEMENT METHOD FOR CONTAINER LOADING PROBLEM USING DEPTH CAMERA file Nasution Ninan  Nasution Ninan  2017 
88 IC  ICAT  A study on RFID user memory applications for production management and scheduling file Kyoungmin Kim  Kyoungmin Kim  2015 
87 IC  AsiaSim  A Study on Simulation Model for Yard Layout Planning in Offshore Plant Industry file Kim Hyun Jun  Kim Hyun Jun  2015 
86 IC  ICPR  Business Process Modeling for developing a performance measurement system using the Internet of Things file Gyusun Hwang  Jinwoo Park  2015 
85 IC  APMS  Korea Smart Factory Program - Keynote Jinwoo Park  Jinwoo Park  2015 
84 IC  IJIE  DEVELOPING GOOD QUALITY PERFORMANCE MEASURMENT MODEL TOWARD SMART FACTORY Gyusun Hwang  Gyusun Hwang  2016 
83 IC  ICDMCE  Study on smart disaster recovery system using Internet of Things file Sumin Han  Gyusun Hwang  2016 
82 IC  APIEMS  A study on relieving electric power shortage by on-site solar power supply CHOE SANG YUN  CHOE SANG YUN  2014 
81 IC  IEOM  Relieving electric power dependency during shortage with an on-site solar power supply CHOE SANG YUN  CHOE SANG YUN  2015 
» IC  SISE  Inventory Management System using 3D-Camera & Deep Learning file Chanho Hwang  Chanho Hwang  2016 
79 IC  ICIMSA  Internet of Things-Enabled Supply Chain Performance Measurement Model file Abdallah J. Dweekat  Abdallah J. Dweekat  2016 
78 IC  CIE  A batch splitting heuristic for dynamic job shop scheduling problem Hanil Jeong    1996 
77 IC  CIE  A decision support model for the initial design of FMS Hosub Shin    1996 
76 IC  ICARCV  A Discrete Control Approach to Robotic Cell Operating System Design Jonghun Park    1996