Abstract
In this article, we propose a monocular vision-based approach that can simultaneously recognize an object and estimate the distance to the target in package classification. Calibration is necessary due to lack of depth information in a single RGB image, and template matching makes it possible to estimate the distance of an irregular object without measurable parameters. First of all, capture images of the particular object as templates at set distances. Then, simplify the feature extraction to abandon the scale invariance. By exploiting a nonparametric estimation, the relationship between local feature correspondence and the similarity of two images is theoretically explored. Finally, the object will be recognized and the scale grade of it will be determined at the same time based on two-stage template matching. Experimental results have proved the high accuracy of our approach that has then been successfully applied to a real-time automatic package sorting line.
Highlights
With the development of e-commerce and logistics industry, huge quantities of goods are packed and transported every day
The tasks of object recognition and scale measurement were regarded as a five-category classification problem and were accomplished directly by the proposed method
This article introduces an approach of irregular object recognition and distance measurement based on monocular machine vision
Summary
With the development of e-commerce and logistics industry, huge quantities of goods are packed and transported every day. Sampling inspection is a necessary and effective means to ensure the quality of products. Qualified packages must be separated from those that fail in the inspection. Qualified packages need to be classified and distributed to different places according to their heights. Conventional manual sorting is too labor-consuming to deal with massive packages, and it can hardly meet the speed requirement of the sorting system. What’s more, workers are easy to get tired and make mistakes during their long-term work. An automatic package sorting line is needed to improve work efficiency, and the design of machine vision system is the key to the success of the automatic sorting line
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