• 14 min read
Building a Real-Time Snack Detection Web App
Learn how to build a real-time computer vision web app. Combine Roboflow object detection, MediaPipe, and Flask to build a custom snack-tracking app.
• 6 min read
The Computer Vision Manufacturing Integration Stack
Connect computer vision to your manufacturing stack: edge inference plus PLC, SCADA, MES, and ERP integration over EtherNet/IP, MQTT, and OPC UA.
• 4 min read
Cosmos 3: Evaluation for Vision Use Cases
NVIDIA Cosmos 3 offers zero-shot performance on fixed-camera footage across airports, warehouses, and production lines.
• 3 min read
Improving Cancer Research with Computer Vision
Researcher Mateo Sokac trained an object detection model in Roboflow to count neutrophils in dry microscopy, hitting 0.70 mAP with image tiling and augmentation.
• 12 min read
Train a Computer Vision Model with Roboflow Train
Discover how Roboflow Train automates computer vision model training. Eliminate infrastructure setup, leverage NAS, and deploy to production.
• 7 min read
What Is OPC UA? How Factories Connect Vision AI to PLCs
OPC UA (IEC 62541) explained: what it is, how it compares to MQTT and Modbus, and how it connects Vision AI inspection results to PLCs and MES.
• 7 min read
Is Your Vision AI Program in Pilot Purgatory? A 10-Question Diagnostic
Stuck running vision AI pilots that never scale? Answer these 10 yes/no questions to score whether your program is in pilot purgatory or on the curve.
• 5 min read
Renting vs. Owning Vision AI: How to Pick a Vendor
The right vision AI vendor makes you need them less over time. Here's how to tell renting from owning, and the questions to ask before you sign.
• 9 min read
How to Create a Synthetic Dataset for Computer Vision
Accelerate computer vision model development by generating synthetic images. Learn to build an automated Stability AI pipeline in Roboflow.
• 7 min read
AI Cameras vs. IP Cameras: What's the Difference?
A practical guide to understanding how AI cameras and IP cameras differ, and when each makes sense for your operation.
• 9 min read
Sports Analytics AI with Roboflow
Learn how to build a sports analytics AI pipeline. Use RF-DETR and Gemini to automate sports formation analysis and player tracking.
• 7 min read
How to Use Tiling During Inference
Discover how image tiling improves small object detection. Learn to apply it during training and inference using Roboflow Workflows.
• 10 min read
RF-DETR: A SOTA Real-Time Object Detection Model By Roboflow
We have released RF-DETR, a state-of-the-art real-time object detection model. Learn more about how RF-DETR works and how to use the model.
• 10 min read
YOLO for Anomaly Detection
Learn how to build a YOLO based supervised anomaly detection system with Roboflow. This tutorial shows how to collect normal and defective alloy wheel images, label defects with bounding boxes, train a YOLO11 model, and deploy it to detect scratches, and paint damage.
• 4 min read
How To Annotate Images with Your Team Using Roboflow
Annotate datasets faster with your team. Invite labelers, assign jobs, speed up labeling with AI tools like SAM 3, and review every image before it enters your dataset.
• 8 min read
Best OCR Models for Text Recognition in Images
See how 63 different OCR models compare for scene text recognition across industrial domains.
• 12 min read
How to Deploy Computer Vision Models Offline
In this guide, we walk through how to deploy computer vision models offline using Roboflow Inference.
• 4 min read
Roboflow Advances Defect Detection Pipeline for Manufacturers with Synthetic Data Powered by NVIDIA Physical AI
SUMMARY
Roboflow and NVIDIA have integrated synthetic data generation into the Roboflow platform for manufacturing defect detection, combining the NVIDIA Defect Image Generation skill, the Cosmos world foundation model, and NVIDIA Isaac Sim to generate photorealistic, physics-consistent defect images from a small set of real examples. In a benchmark
• 5 min read
What Is YOLO-StereoDepth?
YOLO-StereoDepth brings stereo depth for robotics to the YOLO family in September 2026. See what we know and how to read metric depth today.
• 6 min read
What Is YOLO26-Depth? Monocular Depth Estimation
YOLO26 Depth brings metric monocular depth estimation to YOLO.
• 10 min read
Process RTSP Streams for Real-Time Video Analytics
Ingest RTSP streams, handle frame buffering, and run wildfire smoke detection on the Roboflow Inference Docker container.
• 7 min read
Chaining Models: Combining Detection, OCR, and an LLM in a Single Workflow
Learn how to build a multi-stage computer vision pipeline. Chain RF-DETR object detection, OpenAI OCR and LLMs in Roboflow to process documents.
• 14 min read
YOLO Distillation
Learn how to use large VLMs or foundation models to label images, review annotations in Roboflow, and train a smaller YOLO model. This tutorial covers YOLO distillation with Autodistill and Roboflow Workflows.
• 4 min read
What Is YOLO-Anomaly?
YOLO-Anomaly brings purpose-built anomaly detection for manufacturing QA. See what to expect.
Stay Connected