Robotic System for Post Office Package Handling

Vismanis, Oskars; Ārents, Jānis; Freivalds, Kārlis; Ahluwalia, Vaibhav; Ozols, Kaspars

doi:10.3390/app13137643

Cited by 3 publications

(1 citation statement)

References 33 publications

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“…This system extracted the width, length, and height of the boxes, with an average processing time of 1.01 s. X. Duan [17] investigated express parcel detection and shape recognition in a single camera setup, reducing the cost of express parcel recognition. Vismanis [18] developed an AI-based robotic solution capable of autonomously performing parcel placement tasks, providing valuable insights for the construction of automated parcel delivery systems. Zhang [19] utilized STM32F4 as the main controller, establishing a flat visual coordinate system, using a CCD image sensor, and achieved automatic sorting of parcels.…”

Section: Related Workmentioning

confidence: 99%

Research on the Algorithm of Position Correction for High-Speed Moving Express Packages Based on Traditional Vision and AI Vision

Dai,

Lu,

Chen

et al. 2024

Sensors

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The rapid development of the logistics industry poses significant challenges to the sorting work within this sector. The fast and precise identification of moving express parcels holds immense significance for the performance of logistics sorting systems. This paper proposes a motion express parcel positioning algorithm that combines traditional vision and AI-based vision. In the traditional vision aspect, we employ a brightness-based traditional visual parcel detection algorithm. In the AI vision aspect, we introduce a Convolutional Block Attention Module (CBAM) and Focal-EIoU to enhance YOLOv5, improving the model’s recall rate and robustness. Additionally, we adopt an Optimal Transport Assignment (OTA) label assignment strategy to provide a training dataset based on global optimality for the model training phase. Our experimental results demonstrate that our modified AI model surpasses traditional algorithms in both parcel recognition accuracy and inference speed. The combined approach of traditional vision and AI vision in the motion express parcel positioning algorithm proves applicable for practical logistics sorting systems.

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Section: Related Workmentioning

confidence: 99%

Research on the Algorithm of Position Correction for High-Speed Moving Express Packages Based on Traditional Vision and AI Vision

Dai,

Lu,

Chen

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

Research on high-speed classification and location algorithm for logistics parcels based on a monocular camera

Lu,

Dai,

et al. 2024

Sci Rep

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The rapid development of the logistics industry has driven innovations in parcel sorting technology, among which the swift and precise positioning and classification of parcels have become key to enhancing the performance of logistics systems. This study aims to address the limitations of traditional light curtain positioning methods in logistics sorting workshops amidst high-speed upgrades. This paper proposes a high-speed classification and location algorithm for logistics parcels utilizing a monocular camera. The algorithm combines traditional visual processing methods with an enhanced version of the lightweight YOLOv5 object detection algorithm, achieving high-speed, high-precision parcel positioning. Through the adjustment of the network structure and the incorporation of new feature extraction modules and ECIOU loss functions, the model’s robustness and detection accuracy have been significantly improved. Experimental results demonstrate that this model exhibits outstanding performance on a customized logistics parcel dataset, notably enhancing the model's parameter efficiency and computational speed, thereby offering an effective solution for industrial applications in high-speed logistics supply.

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Experimental Platform Design of Robotic Flexible Handling System with Vibration Suppression Function

Liu,

Chen,

et al. 2024

2024 5th International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM)

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Robotic System for Post Office Package Handling

Cited by 3 publications

References 33 publications

Research on the Algorithm of Position Correction for High-Speed Moving Express Packages Based on Traditional Vision and AI Vision

Research on the Algorithm of Position Correction for High-Speed Moving Express Packages Based on Traditional Vision and AI Vision

Research on high-speed classification and location algorithm for logistics parcels based on a monocular camera

Experimental Platform Design of Robotic Flexible Handling System with Vibration Suppression Function

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