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In this review paper, we discussed various types of intelligent packaging systems like indicators, sensors and data carriers. Several current technologies for packaging, such as intelligent packaging and active packaging, have been established to meet this requirement. In addition to this, there is a need to minimize food corruption, counter-theft, spoilage, contamination, and efficient food safety communication. The development of several novel food packaging techniques is seen in the market that help the consumer monitor their quality, safety, integrity, cleanliness, freshness, and purity until they are being consumed.
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Besides, in terms of time cost, the proposed method effectively reduces the time cost by 50% and improves the barcode localization efficiency. The experimental results show that, in terms of localization accuracy, the proposed method has a better accuracy of 97.83% than existing algorithms in low-resolution images and can locate multitype barcodes in high-resolution images with an accuracy rate of 98.04%. The method consists of three main steps: first, extracting multiple types of barcode features through a joint edge detection algorithm next, marking target barcode regions with a bidirectional contour labeling method and finally, extracting barcode regions by an improved affine transformation.
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In response to the above problems, this paper proposes a reliable multitype barcode localization method for multibarcode localization in high-resolution images where one-dimensional (1D) barcodes, two-dimensional (2D) barcodes, or multitype barcodes are present simultaneously. However, most of the current algorithms are only applicable to a single type of barcode positioning or limited to low-resolution images due to a large amount of calculation, and thereby it is still a challenge to locate multitype barcodes in high-resolution images. Barcode positioning technology is one of the important components of barcode technology.