• 10 min read
How to Build a Parking Lot Monitoring System with Computer Vision
In this guide, we show how to build a parking lot occupancy monitoring system with computer vision.
Blog
Yajat Mittal
Contributor @ Roboflow
Latest Posts by Yajat Mittal
• 9 min read
Ceramic Defect Detection with Computer Vision
Learn how to use computer vision to detect defects in ceramic material.
• 12 min read
Self-Hosted Computer Vision: Run Your Own Vision Stack with Roboflow Inference
Learn how to deploy self-hosted computer vision models for privacy, low latency, and offline use. See how Roboflow Inference simplifies local deployment
• 11 min read
Wood Defect Detection with Computer Vision
In this guide, learn how to use a wood surface inspection system to identify defects on wood.
• 8 min read
Glass Inspection with Computer Vision
Learn how to build a system to inspect glass with computer vision.
• 22 min read
Production Line Monitoring With Camera AI
Build production line monitoring with camera AI: train RF-DETR to detect defects, count bottles, and trigger alerts with Roboflow Workflows.
• 11 min read
How to Detect Paint Defects with Computer Vision
Automate paint defect inspection in manufacturing. Learn how to train an RF-DETR model and build a visual QA pipeline using Roboflow Workflows.
• 8 min read
Dimensional Defect Inspection with Vision AI
Catch dimensional defects automatically: a Roboflow Workflow where Gemini detects features and a Python block measures spacing for pass/fail.
• 15 min read
Defect Inspection
Automate manufacturing defect inspection with computer vision. Learn how to train an RF-DETR model and build a pass/fail QA workflow using Roboflow and Gemini.
• 11 min read
How to Build a Promptable Object Detection Project
Promptable object detection with SAM 3: detect and count objects from a text prompt, no training, then graduate to an RF-DETR model to scale.
• 9 min read
How to Detect Metal Defects with Computer Vision
Learn how to detect metal defects using computer vision.
• 12 min read
Give My Agent Eyes
Combine RF-DETR and LMMs to build an AI pipeline that perceives, reasons, and acts.
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