Module (EfficientNet-B0, FaceNet/ArcFace, Content Moderation)
The module is built on the EfficientNet-B0 architecture — a modern and efficient convolutional neural network designed for image analysis. It enables automatic processing of visual content, helping to filter and classify images with high precision.

The computer vision system performs:

• detection and filtering of inappropriate visual content (violence, prohibited, or explicit materials);
• image classification for moderation and safety purposes;
• structured data preparation for further analysis and AI-driven search.

For facial recognition tasks, the module uses FaceNet/ArcFace models based on embeddings — mathematical vector representations of images. This approach allows high-accuracy face matching even under varying lighting conditions, camera angles, and image quality, making identification reliable and robust.

The module is seamlessly integrated into the moderation system and search infrastructure, enhancing content safety and enabling intelligent image analysis. It supports automated decision-making while maintaining high standards of accuracy and ethical data handling.