What type of study is this?

This is a Experimental Study study.

Development of Intelligent Basket System by Using Image Detection with Convolution Neural Network (CNN)

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This system implements real-time data integration and machine learning through CNN, improving shopping efficiency and user experience.

The intelligent shopping basket streamlines checkout processes, reducing customer wait times and increasing satisfaction.
Using convolutional neural networks enables accurate and real-time object detection of items added to or removed from the basket.
The system integrates various hardware components managed by a Raspberry Pi, creating a user-friendly shopping alternative.
By automating item detection and billing, this approach minimizes human error and enhances operational efficiency in retail.

Rozali et al. (2025) studied this question.

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View Full Paper

Ask AI

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Authors

This system implements real-time data integration and machine learning through CNN, improving shopping efficiency and user experience.

The intelligent shopping basket streamlines checkout processes, reducing customer wait times and increasing satisfaction.
Using convolutional neural networks enables accurate and real-time object detection of items added to or removed from the basket.
The system integrates various hardware components managed by a Raspberry Pi, creating a user-friendly shopping alternative.
By automating item detection and billing, this approach minimizes human error and enhances operational efficiency in retail.

Rozali et al. (2025) studied this question.

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