• 13 min read
Canny Edge Detection in Computer Vision
Canny edge detection in five steps (blur, gradients, NMS, thresholds, hysteresis), plus a Roboflow Workflow that runs it on images and video.
• 22 min read
Gaze Detection and Gaze Tracking Explained
Gaze tracking explained, plus a working pipeline: detect faces with SAM 3, track them with OC-SORT, and estimate gaze with L2CS-Net in Roboflow.
• 10 min read
Auto Label with GPT-6 Astra in Roboflow
GPT-6 Astra runs zero-shot detection on your images and returns bounding boxes for the classes you define.
• 14 min read
Edge AI Inference for Manufacturing
A reject decision must happen in milliseconds, cameras generate data continuously, and the line still runs when the WAN does not. This guide covers edge vision deployment for manufacturing, from hardware and model optimization to PLC integration and IT/OT controls.
• 7 min read
How to Set a Confidence Threshold for Object Detection
Learn how to choose and validate an object detection confidence threshold using precision, recall, error costs, and real-world model behavior.
• 12 min read
Finding Edge Cases in a Computer Vision Dataset
Mine low-confidence predictions from production images, review them with a VLM, then label and retrain.
• 7 min read
How to Build an Autonomous Defect Detector with Physical AI
Pulling bad parts by hand dates back to 1960s assembly lines. I built a local defect detector using a webcam, RF-DETR, and a desktop robot arm. Ten training photos and 0.2 seconds per frame run the full detect, decide, pick, and verify loop right on my desk.
• 9 min read
How to Auto-Label Image Data with Gemini 3.7 in Roboflow
Roboflow Auto Label runs Gemini 3.7 across the batch and returns bounding boxes for the classes you define.
• 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.
• 7 min read
Roboflow Playground: Try and Compare 130+ Computer Vision Models
We are excited to announce a tool to help you try, compare, and evaluate over 130 computer vision models side by side for free without API keys or custom code.
• 20 min read
Object Detection API: Best Hosted Options in 2026 (and When to Own Your Model)
Compare the best object detection APIs. Learn how they differ in custom training, pricing, model export, and edge deployment, and when to choose a hosted API or run your own model on private hardware.
• 7 min read
Robotics Perception Stacks: How Robots Understand Their Environment
Learn how robotics perception stacks combine cameras, sensors, computer vision models, tracking, and sensor fusion to help robots understand and interact with their environment.
• 12 min read
How to Measure Volume with Computer Vision
Learn how to measure box volume with computer vision using Roboflow Workflows. This tutorial uses SAM 3 segmentation, a 5 × 5 cm calibration marker, Mask Area Measurement, and Custom Python to convert pixels into physical dimensions and calculate external and internal box volume.
• 5 min read
Building a Physical AI that Plays Connect 4
Teaching a robot to play Connect 4 using RF-DETR object detection, a 12ms negamax search engine, and Gemini Flash for live vocal roasts. Check out the setup guide and source code to build your own.
• 7 min read
GS1 Sunrise 2027: How to Verify 2D Barcodes on the Production Line
Learn what GS1 Sunrise 2027 requires and how computer vision can verify 2D barcode quality, label placement, mixed barcode reading, product data, and downstream scanning with Roboflow.
• 1 min read
Announcing the Visual Intelligence Summit
On October 22, we're hosting the Visual Intelligence Summit, a one-day gathering in San Francisco for the people building AI that sees and acts in the physical world. The model builders, chip makers, robotics founders, and operators running vision AI in production, all in the same place.
• 15 min read
On-Premise Computer Vision: Run Vision AI on Your Own Servers
On-premise computer vision lets you run vision AI on your own servers, edge devices, or factory hardware. Learn how local inference works, which deployment fits, what hardware you need, how to set up Roboflow Inference, and how to manage models securely at scale.
• 10 min read
How to Verify Torque Marks with Computer Vision
Learn how to verify torque marks with computer vision using RF-DETR and a Vision-Language Model.
• 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
• 10 min read
What Is An Inference Server?
Run an inference server yourself for low latency, on-prem data, or offline use; use a hosted API otherwise. Start one locally with Docker.
• 14 min read
mAP@0.5 vs. mAP@0.5:0.95: What’s the Difference?
mAP@0.5 uses a single 0.50 IoU threshold; mAP@0.5:0.95 averages ten thresholds from 0.50 to 0.95. See how each is calculated and when to use it.
• 12 min read
Best Edge Devices for Computer Vision
Explore the best edge devices for computer vision, from NVIDIA Jetson and Raspberry Pi to industrial PCs and Roboflow AI1. Learn how FPS, model size, camera count, and GPU acceleration affect performance, and how Roboflow Inference helps deploy vision models efficiently at the edge.
• 8 min read
Moving from Manual Inspection to Machine Vision: A Regulatory Field Guide for Medical Device Quality Teams
Automated visual inspection validation under QMSR: an inspection method change is a letter to file, not a 510(k). Here is the evidence package.
• 7 min read
How to Build an AI Basketball Shot Evaluator
Build a local basketball shot tracker using an RF-DETR detector and zero-shot keypoint tracking. Learn how to calibrate distance from the rim, detect shot release with pose data, handle net occlusions using physics, and render live mechanics overlays onto your video.
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