This article walks through using the WeChat Mini Program media‑check API to identify risky audio, video, and image content, outlines three typical scenarios, explains platform rate limits, and provides a complete Java example with step‑by‑step code analysis.
This article describes how 58.com built an end‑to‑end deep‑learning watermark detection service, covering business needs, data collection and augmentation, model selection and iterative improvements (Faster‑RCNN, SSD, YOLOv3, anchor‑free methods), deployment results, and future research directions.
This tutorial explains how to configure a WeChat public account, set up a Spring Boot backend with the wechat-spring-boot-starter, implement GET and POST endpoints for message verification and handling, and integrate an image‑moderation service to automatically reply to picture messages.
This guide walks through setting up a quick image porn detection platform using UCloud's UAI‑Censor service, covering account creation, obtaining API keys, testing the API, and integrating a simple Java SpringBoot client that evaluates images and returns pass, forbid, or manual‑review suggestions.
This article describes Meituan's large‑scale AI‑driven image moderation platform, detailing deep‑learning based watermark detection, celebrity face recognition, pornographic image detection, and scene classification techniques, along with system architecture, data preparation, model evaluation, and deployment considerations.
Meituan employs AI-driven image moderation across millions of daily uploads, using an SSD‑ResNet detector for watermarks, a multi‑scale Faster R‑CNN ensemble for celebrity faces, a CNN‑based pornographic classifier with incremental learning, and transfer‑learned scene classification, while routing uncertain cases to human reviewers.
