Computer Vision
PHP developer roles involving Computer vision focus on building the backend infrastructure and APIs for applications that interpret and analyze visual information from the world. While the core machine learning models for CV are typically developed in languages like Python, PHP serves as the powerful engine that handles user uploads, processes data pipelines, stores results, and presents them to the user through a web interface.
Integrating Computer Vision Services with PHP
In this specialized field, a PHP developer's primary role is integration. This involves creating robust REST APIs that communicate with computer vision microservices or third-party cloud platforms like AWS Rekognition or Google Vision AI. Responsibilities include managing asynchronous jobs for processing large images or videos, handling API responses, and storing structured data in a database for later retrieval and analysis.
Key Responsibilities and Technologies
- Developing scalable PHP backends and APIs using frameworks like Laravel or Symfony.
- Integrating applications with third-party computer vision services.
- Using message queues (e.g., RabbitMQ, SQS) to manage long-running analysis tasks.
- Experience with image processing libraries such as Imagick or GD.
- Managing storage and retrieval of large binary files (images/videos).
- A foundational understanding of machine learning concepts and workflows.
