Second-hand recycling website uses product image recognition function developed in PHP

The second-hand recycling website uses the product image recognition function developed by PHP

With the progress of society and the development of science and technology, people's increased awareness of environmental protection has led to the rise of the second-hand recycling market. As an important form of this market, second-hand recycling websites not only provide people with a convenient purchasing and sales channel, but also greatly reduce the waste of resources. However, there is a large amount of product information on second-hand recycling websites, and how to quickly and accurately identify these products has become an urgent problem to be solved.

In order to solve this problem, we decided to introduce image recognition technology to automatically identify product information by providing product images. In this article, we will introduce how to use PHP to develop a product image recognition function, as well as the corresponding code examples.

First of all, we need to use a powerful image recognition engine. Here we chose the open source Tesseract OCR engine. With Tesseract, we can recognize text in images. Before using Tesseract, we need to ensure that the relevant dependency libraries and training data have been installed on the server.

Next, we need to use PHP as the back-end development language to call Tesseract for image recognition. First, we need to install relevant extensions in PHP, such as the GD library and exec function. The GD library is used to process images, and the exec function is used to call system commands.

The following is a simple PHP code example, which is used to save the product image uploaded by the user to the server, and call Tesseract to recognize the text in the image.

In this example, we obtain the image file uploaded by the user through the $_FILES array, and then use the move_uploaded_file function to save the image file to the specified directory on the server. Next, we use the exec function to call Tesseract for image recognition and save the recognition results to the $output variable. Finally, we output the recognition results through the echo statement.

Of course, this is just a simple sample code, and more issues need to be considered in actual applications. For example, how to deal with special characters and noise in recognition results, how to optimize the accuracy of recognition, etc.

In general, by introducing image recognition technology, second-hand recycling websites can quickly and accurately identify product information, improving user experience and improving the efficiency of the platform. We hope that the code examples provided in this article can provide developers with some references and ideas when implementing similar functions.

Reference materials:

1. Tesseract OCR official website: https://github.com/tesseract-ocr/tesseract
2. PHP official documentation: https:// www.php.net/
3. GD library official documentation: https://www.php.net/manual/en/book.image.php

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