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Conference Paper
Automatic Damage Detection of Containers Based on Hierarchical Image Analysis
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- Authors
- YoungJae Lim, Jang-Hee Yoo, Ki Young Moon
- Issue Date
- 2017-11
- Citation
- International Conference on Machine Learning and Data Engineering (iCMLDE) 2017, pp.1-6
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we present a new method for analysing the damage to a logistics container by automatic analysis of its integrity based on parts-zone segmentation and hierarchical image analysis. To achieve this, we use a smart phone or tablet in order to acquire an image from the rear side of the container. The automatic damage detection system consists of three stages: i) dividing the image into small areas as minimum analysis units, ii) calculating the score of the individual units, and iii) summation of the scores for each unit to estimate the degree of integrity. In experiments, we have successfully evaluated the performance of the proposed method with data from a smart phone camera. As such, the proposed method provides automated damage detection which has the advantage of offering a relatively inexpensive and expeditious estimate of container damage.
- KSP Keywords
- Automatic analysis, Detection Systems(IDS), Image analysis, Smart Phone, damage detection, new method, rear side