The original title is a "how we built" style headline. I need to rewrite it as a punchy news headline for a mobile feed.

Short summary

A solo developer built SafeVision, a CPU-optimized image moderation API processing images under 200ms using YOLOv8 and ONNX on standard CPUs. By converting trained models to ONNX format with CPU-optimized runtime, they achieved 70% memory reduction and sub-200ms latency on commodity servers. A dual-model consensus engine (YOLOv8 + EfficientNet) reduces false positives while FastAPI returns precise bounding boxes for flagged objects.

• •Built SafeVision: CPU-based moderation API under 200ms latency (vs >1.5s with PyTorch on CPU)
• •Used YOLOv8 + ONNX + EfficientNet dual-model consensus to minimize false positives
• •Achieved 70% memory reduction and cost-effective scaling without GPU infrastructure

Generated with AI, which can make mistakes.