Computer Vision

26 Aug 2026 • 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.

24 Aug 2026 • 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.

21 Aug 2026 • 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.

19 Aug 2026 • 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.

18 Aug 2026 • 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.

18 Aug 2026 • 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.

18 Aug 2026 • 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

17 Aug 2026 • 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 Aug 2026 • 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.

14 Aug 2026 • 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.

14 Aug 2026 • 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.

12 Aug 2026 • 8 min read

Build a Defect Detection System

In this guide, we show how to build a defect detection and visual inspection system with computer vision using Roboflow.

12 Aug 2026 • 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.

7 Aug 2026 • 7 min read

Top Models for AI Data Labeling

Labeling is the slowest part of building a vision model. The fix is letting a foundation model take the first pass while a human reviews. We benchmarked every top vision model on object detection to find which ones you can trust with the job, and how to pick between them.

7 Aug 2026 • 6 min read

Machine Vision Lighting

Learn how to fix glare, sunlight, and hardware drift with the right lighting setup before retraining.

7 Aug 2026 • 6 min read

How to Build an AI Video Car Damage Inspector

Upload one slow walkaround video of a rental car and get back a signed, timestamped report of every scratch and dent, with reflections filtered out by physics. Here's how to build it with RF-DETR, Roboflow Workflows, and Gemini.

7 Aug 2026 • 7 min read

How Cloud Connected AI Products Run On-Prem

The Purdue Model explained: every level from PLC to DMZ, the companies that run on it, and how AI deploys into segmented OT networks.

6 Aug 2026 • 6 min read

Qwen3.8-Max for Vision: Benchmarks, Strengths, and Real-World Tests

Qwen3.8-Max tops our VLM object detection benchmark and performs strongly on counting and reasoning. We test its strengths, limits, speed, cost, and deployment.

6 Aug 2026 • 7 min read

Bottle Cap Inspection with Computer Vision

Learn how to use computer vision to verify the integrity of bottle caps on an assembly line.

4 Aug 2026 • 10 min read

How to Detect Small Objects in Drone Imagery

Train RF-DETR to detect people and vehicles that appear small in aerial imagery, then build a Roboflow Workflow that counts detections and uses Gemini to inspect the scene.

4 Aug 2026 • 9 min read

Dwell Time and Zone Analytics with Vision AI

Measure dwell time and zone analytics from any camera: train RF-DETR, track people with ByteTrack, and time each visitor inside a defined zone.

4 Aug 2026 • 9 min read

P&ID Symbol Detection for Engineering Drawing Digitization

Detect common symbols in piping and instrumentation diagrams, then use OCR to extract text from instrument-related regions.

4 Aug 2026 • 27 min read

Zero-Shot vs. Fine-Tuned Models: When to Train Your Own

Zero-shot vs fine-tuned models: prototype with SAM 3, auto-label your dataset, then train RF-DETR for the accuracy and speed production needs.

4 Aug 2026 • 8 min read

How to Import Supervisely Datasets to Roboflow

Learn how to import datasets from Supervisely into Roboflow, train an RF-DETR model, and deploy it to the cloud or edge. See how to convert annotations, fine-tune your model, and build production-ready vision workflows.