An Effective Approaches for Auto Bill Generator System
In an era of increasing retail expansion where time is of the essence, the need for streamlined and accurate billing systems has become paramount. Moreover, In recent years, the retail industry has witnessed significant technological advancements aimed at enhancing customer experiences and operational efficiency. Manual billing processes, although traditionally relied upon, are inherently time-consuming and this inefficiency underscores the necessity for automated solutions. This study presents an innovative Auto Bill Generator (ABG) System that integrates Computer Vision (CNN) and Internet of Things (IoT) technologies to revolutionize traditional billing procedures in retail environments. By leveraging CNN algorithms for item detection via camera input and IoT-enabled weight sensors for item verification, the ABG system aims to enhance efficiency and accuracy. Rigorous testing demonstrates significant improvements in billing accuracy and speed compared to manual methods, underscoring the practicality and effectiveness of automated billing systems. The ABG system offers a viable solution to optimize retail operations, ultimately leading to enhanced customer satisfaction and operational efficiency.
Authors
- Aryan Singh
- Ramandeep Sandhu (ORCID: https://orcid.org/0000-0003-2595-4030)
- Harpreet Kaur (ORCID: https://orcid.org/0000-0002-7538-3793)
- Seema Gabba
Institutions
- Lovely Professional University (IN)
Publication Details
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1109/iceect61758.2024.10738927
- Primary Topic
- Smart Grid Security and Resilience
- Type
- article
- Field-Weighted Citation Impact
- 0.00