| Autor: |
Hanaa Al-Lohibi, Tahani Alkhamisi, Maha Assagran, Amal Aljohani, Asia Othaman Aljahdali |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 9, Iss 3, Pp 49-68 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2255-2863 |
| DOI: |
10.14201/ADCAIJ2020934968 |
| Popis: |
The abundance of photos on the internet, along with smartphones that could implement computer vision technologies allow for a unique way to browse the web. These technologies have potential used in many widely accessible and globally available reverse-image search applications. One of these applications is the use of reverse-image search to help people finding items which they're interested in, but they can’t name it. This is where Awjedni was born. Awjedni is a reverse-image search application compatible with iOS and Android smartphones built to provide an efficient way to search millions of products on the internet using images only. Awjedni utilizes a computer vision technology through implementing multiple libraries and frameworks to process images, recognize objects, and crawl the web. Users simply upload/take a photo of a desired item and the application returns visually similar items and a direct link to the websites that sell them. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
