Development of automatic parcel delivery system using image processing techniques

Kobata, Tomoki; Tada, Yutaka; Muromaki, Takao

doi:10.1109/isfa.2016.7790177

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…The label has a microchip that stores data and a tiny antenna for communication. RFID labels can be attached to or embedded in items and read automatically without the need to scan labels manually [25]. In addition, one RFID reader can read all the nearby labels simultaneously.…”

Section: Labeling Technologymentioning

confidence: 99%

Design of Automated Warehouse Storage Scheme in Crop Genebank

Lin

Chen

Wei

et al. 2022

Advances in Transdisciplinary Engineering

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The contributions of crop germplasm resources to food security depend on their conservation and accessibility for use. The automated warehouse has begun to be applied to the ex situ preservation of crop germplasm resources in the crop genebank. Identifying the proper storage scheme for potentially hundreds of thousands of seeds is a primary task that faces the crop genebank manager during the design of a new automated crop genebank. There are mainly three areas to focus on, hardware and software, seeds storage assignment policy and seeds labelling technology. This paper aims to propose automated crop genebank storage schemes for two kinds of crop genebank (the long-term crop genebank and the middle-term crop genebank), which supports managers in determining the technologies that can be applied in the automated crop genebank. Firstly, the selection of hardware and software should be based on the functional orientation of the long-term crop genebank and the middle-term crop genebank. Secondly, for the seed storage assignment policy, the sequential storage assignment is designed for the long-term genebank while the cache storage assignment is developed for the middle-term genebank. Finally, a QR code labelling technology based on image recognition is designed for both the long-term crop genebank and the middle-term crop genebank.

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Section: Labeling Technologymentioning

confidence: 99%

Design of Automated Warehouse Storage Scheme in Crop Genebank

Lin

Chen

Wei

et al. 2022

Advances in Transdisciplinary Engineering

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“…The processes comprise three major steps: image analysis, tracking as well as segmentation. Further, enhanced modalities are also implemented for the improvement of computational efficiency of image processing applications [4–13].…”

Section: Introductionmentioning

confidence: 99%

Intelligent system with dragonfly optimisation for caries detection

Patil

Kulkarni

Bhise

2019

IET Image Processing

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“…In improving the parcel delivery service, an automatic parcel delivery system was discussed in [15]. However, the system only focusing on the task of transporting the parcel from the warehouse's rack to the delivery vehicle using a transport robot.…”

Section: Introductionmentioning

confidence: 99%

Development of android-based apps for courier service management

Mohd

Rashid

Hamid

et al. 2019

IJEECS

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E-commerce has grown exponentially over the years. The growth has been characterized by strong consumer demands and the increasing number of various products available online. This in turn creates a logistical problem and a high demand for an efficient courier service to support the growing markets. It is very important for courier service provider that the delivery of the parcel is being done as fast as possible. One of the courier service’s vital and most crucial business process is in the last mile parcel delivery. This is where an efficient delivery service will be of utmost importance. An efficient system needs to be developed in order to facilitate the interaction between the courier service provider and consumer to precisely determine the optimal route for the parcel delivery. In this paper, an Android-based application system for courier service management with last mile route tracking module is developed. It is a mobile application that eases the courier delivery personnel in finding their way to deliver the parcels to the customer’s doorstep. The application will guide the courier personnel to get a list of courier data such as address and contact information and then navigate them to the selected customers’ addresses based on traffic data retrieved from Google Maps API. It will choose the best route to the address and notify the customers before arriving so that the customers are ready to receive the parcel. This last mile route tracking for parcel delivery will provide the basis for an efficient courier service system.

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Development of automatic parcel delivery system using image processing techniques

Cited by 5 publications

References 2 publications

Design of Automated Warehouse Storage Scheme in Crop Genebank

Design of Automated Warehouse Storage Scheme in Crop Genebank

Intelligent system with dragonfly optimisation for caries detection

Development of android-based apps for courier service management

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