Long-Term Inventory Flow Management System Tracking Using Doorway Monitoring

被引:0
|
作者
Kotheeranurak, Dechabhol [1 ]
Sangpetch, Orathai [2 ]
Noh, Hae Young [3 ]
Zhang, Pei [4 ]
机构
[1] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
[2] CMKL Univ, Bangkok, Thailand
[3] Stanford Univ, Stanford, CA 94305 USA
[4] Univ Michigan, Ann Arbor, MI 48109 USA
关键词
D O I
10.1145/3583120.3589832
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The standard way to keep track of inventory is through human counting or with a hand-held device and inputting the data into the warehouse management system (WMS). WMS can be quite expensive for small warehouses and human counting is susceptible to errors. Alternatively, we propose an automated way to keep track of inventory by leveraging the surveillance cameras readily available in the warehouses. In practice, there are challenges such as incorrect stock numbers, overfitting issues, and a mundane labeling process. To identify and mitigate those challenges, we present real-world deployment to various warehouses for a period of 4 months with up to 97 percent counting accuracy.
引用
收藏
页码:324 / 325
页数:2
相关论文
共 50 条
  • [21] In situ long-term monitoring system for radioactive contaminants
    Klein, D. M.
    Yukihara, E. G.
    McKeever, S. W. S.
    Durham, J. S.
    Akselrod, M. S.
    RADIATION PROTECTION DOSIMETRY, 2006, 119 (1-4) : 421 - 424
  • [22] Design and evaluation of a long-term ECG monitoring system
    Raola, MD
    Jimenez, D
    Hernandez, I
    Bas, A
    Montero, R
    Gonzalez, R
    PROCEEDINGS OF THE 22ND ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4, 2000, 22 : 934 - 937
  • [23] Noncontact ECG System for Unobtrusive Long-Term Monitoring
    McDonald, Neil J.
    Anumula, Harini A.
    Duff, Eric
    Soussou, Walid
    2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2012, : 1614 - 1618
  • [24] Long-term disturbance monitoring for improved system analysis
    Balser, Steven J.
    Clark, Harrison K.
    IEEE Computer Applications in Power, 1992, v (0n): : 33 - 36
  • [25] TERVA:: System for long-term monitoring of wellness at home
    Korhonen, I
    Iivainen, T
    Lappalainen, R
    Tuomisto, T
    Kööbi, T
    Pentikäinen, V
    Tuomisto, M
    Turjanmaa, V
    TELEMEDICINE JOURNAL AND E-HEALTH, 2001, 7 (01): : 61 - 72
  • [26] A seizure warning system for long-term epilepsy monitoring
    Qu, H
    Gotman, J
    NEUROLOGY, 1995, 45 (12) : 2250 - 2254
  • [27] Long-term Correlation Tracking
    Ma, Chao
    Yang, Xiaokang
    Zhang, Chongyang
    Yang, Ming-Hsuan
    2015 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2015, : 5388 - 5396
  • [28] Tracking Long-Term Drift in Wireless Sensor Networks Using Long-Term Memory and Data Fusion
    Loss, Theresa
    Gerler, Oliver
    Bergmann, Alexander
    2018 INTERNATIONAL CONFERENCE ON DIAGNOSTICS IN ELECTRICAL ENGINEERING (DIAGNOSTIKA), 2018,
  • [29] Long-term tracking reveals a dynamic crocodylian social system
    Baker, Cameron J.
    Frere, Celine H.
    Franklin, Craig E.
    Campbell, Hamish A.
    Irwin, Terri R.
    Dwyer, Ross G.
    ANIMAL BEHAVIOUR, 2023, 199 : 59 - 78
  • [30] Importance of Data Management in a Long-Term Biological Monitoring Program
    Christensen, Sigurd W.
    Brandt, Craig C.
    McCracken, Mary K.
    ENVIRONMENTAL MANAGEMENT, 2011, 47 (06) : 1112 - 1124