Name
Abstract | ||
|---|---|---|
This paper describes an approach of creating a system identifying fruit and vegetables in the retail market using images captured with a video camera attached to the system. The system helps the customers to label desired fruits and vegetables with a price according to its weight. The purpose of the system is to minimize the number of human computer interactions, speed up the identification process and improve the usability of the graphical user interface compared to existing manual systems. The hardware of the system is constituted by a Raspberry Pi, camera, display, load cell and a case. To classify an object, different convolutional neural networks have been tested and retrained. To test the usability, a heuristic evaluation has been performed with several users, concluding that the implemented system is more user friendly compared to existing systems. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/sitis.2018.00013 | 2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) |
Keywords | Field | DocType |
Cameras,Computer architecture,Usability,Graphical user interfaces,Hardware,Convolutional neural networks,Computer vision | Convolutional neural network,Raspberry pi,Computer science,Heuristic evaluation,Usability,Graphical user interface,Artificial intelligence,User Friendly,Video camera,Machine learning,Speedup | Journal |
Volume | Citations | PageRank |
abs/1810.09811 | 0 | 0.34 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Frida Femling | 1 | 0 | 0.34 |
| Adam Olsson | 2 | 0 | 0.34 |
| Fernando Alonso-Fernandez | 3 | 531 | 37.65 |