Transformer-based smart inspection for agricultural products via x-ray images

Chaoyu Dong; Alvin Wei Wen Tan; Tong Liu; Fang Cheng; Kemao Qian

doi:10.1117/12.3023396

15 February 2024 Transformer-based smart inspection for agricultural products via x-ray images

Chaoyu Dong, Alvin Wei Wen Tan, Tong Liu, Fang Cheng, Kemao Qian

Proceedings Volume 13069, International Conference on Optical and Photonic Engineering (icOPEN 2023); 1306919 (2024) https://doi.org/10.1117/12.3023396
Event: International Conference on Optical and Photonic Engineering (icOPEN 2023), 2023, Singapore, Singapore

Abstract

The supply chain of agricultural products is intricately linked to the daily lives of people. In light of rising import and export quantities, the need for a prompt and efficient inspection system has become increasingly pressing. Without opening baskets and manually sorting, a smart inspection scheme is designed in this work leveraging X-ray images and transformer neural network. Due to its penetrating capabilities, X-ray enables a direct examination of agricultural products within a basket, a task that normal vision devices are unable to accomplish. Taking into account the varying shapes and combinations of agricultural products, we introduce a transformer-based deep neural network for type identification. Additionally, a dataset augmentation process is developed inspired by computed tomography generating 1,6000 X-ray images. Through experiments, the proposed smart inspection scheme is proven to be feasible and works efficiently. The inspection accuracy for both single-type and mixed-type agricultural products on the established dataset exceeds 90%.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chaoyu Dong, Alvin Wei Wen Tan, Tong Liu, Fang Cheng, and Kemao Qian "Transformer-based smart inspection for agricultural products via x-ray images", Proc. SPIE 13069, International Conference on Optical and Photonic Engineering (icOPEN 2023), 1306919 (15 February 2024); https://doi.org/10.1117/12.3023396

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