Image Processing Pipeline
A computer vision pipeline for automated object detection, background removal, format optimization, and CDN delivery — at scale.
Images don't arrive ready to publish.
Product photography in warehouse or field conditions rarely meets platform standards. Backgrounds are inconsistent, crops are loose, formats are wrong, and file sizes are unoptimized. Manual image editing at scale is a production bottleneck — and it shows in listing quality.
Raw photo in. Platform-ready image out.
An automated image processing pipeline that accepts raw photos and delivers platform-optimized images — background removed, cropped, formatted, and delivered via CDN — without manual editing.
Image ingestion
Photos uploaded via mobile, desktop, or automated capture station. Accepted formats: JPEG, PNG, HEIC, WebP. Batch and single-item processing both supported.
Object detection and classification
OpenAI Vision identifies the primary subject in the image. Object type, orientation, and position detected. Used to guide crop, background, and format decisions.
Background removal
Cloudinary's AI background removal applied. Result validated — if confidence is low, fallback to manual review queue. White or transparent background applied based on platform target.
Auto-crop and format optimization
Subject centered and cropped to platform-specific aspect ratios (1:1 for Amazon/eBay, 4:5 for Instagram, 16:9 for YouTube). File optimized for web delivery — size, format, and quality balanced.
CDN delivery and URL generation
Processed images stored and delivered via Cloudinary CDN. Persistent URLs generated and stored in Airtable — ready for direct use in product listings and publishing workflows.
Tools Used
Cloudinary, OpenAI Vision, Make.com, Airtable, custom background removal API
Outcome
Image processing time reduced from 5–10 min/photo (manual) to under 15 seconds (automated). Consistent platform-compliant output across all items.
Scale
Designed for bulk processing — handles hundreds of images per session. Integrated into the warehouse automation and vinyl inventory pipelines.