Blog

Timothy M

Latest Posts by Timothy M

automated pothole and road defect detection with AI

29 Apr 2026 • 17 min read

Detecting Road Defects with Computer Vision

This tutorial shows how to build an automated road defect detection system using Roboflow with deployment strategies for UAV imagery and dashcam video, each generating structured inspection reports automatically.

Medical Bill OCR

24 Apr 2026 • 11 min read

Medical Bill OCR

In this tutorial, we use Roboflow Workflows and Google Gemini to scan any medical bill image, extract structured data automatically, and build a personal medical expense record over time.

How to Automate Camera Control with Computer Vision

20 Apr 2026 • 11 min read

Automate Camera Control with Computer Vision

Computer vision can be used to build camera systems that automatically track and frame a subject in real time. In this tutorial you will learn how to build a simple vision-guided camera using object detection and servo control.

Inspecting Telecom Towers with Computer Vision

13 Apr 2026 • 11 min read

Inspecting Telecom Towers with Computer Vision

Learn how to use computer vision and drone imagery to detect corrosion, measure its area in pixels, and automatically document the findings.

Automate Surgical Instrument Tracking with Roboflo

6 Apr 2026 • 10 min read

Automate Surgical Instrument Tracking with Computer Vision

See how to build a surgical instrument closing-count assistant with Roboflow.

Run SAM 3 Weights Locally

26 Mar 2026 • 10 min read

Run SAM 3 Weights Locally

Use SAM 3 model weights through Roboflow Inference to run segmentation on your local device without setup complexity.

How to use DeepSeek vision-language models with Roboflow

20 Mar 2026 • 16 min read

DeepSeek Vision Models

Learn about DeepSeek’s vision-capable models, and how to use DeepSeek-VL2 with Roboflow Supervision to build advanced vision-language applications.

Visual Anomaly Detection

12 Mar 2026 • 18 min read

Visual Anomaly Detection

Learn what anomaly detection is, the main methods used in visual anomaly detection, and how to build supervised, and unsupervised anomaly pipelines in Roboflow Workflows for real-time deployment on the edge.

Deep Learning vs. Traditional Computer Vision

9 Mar 2026 • 12 min read

Deep Learning vs. Traditional Computer Vision

This blog compares traditional computer vision and deep learning, with practical examples using Roboflow Workflows.

How to Build Automated Pallet Accounting at End-of-Line with Roboflow

4 Mar 2026 • 21 min read

How to Build Automated Pallet Accounting at End-of-Line with Roboflow

Automate pallet accounting at end-of-line with Roboflow Workflows and RF-DETR. Track every pallet from conveyor arrival to forklift pickup using zone-based monitoring and real-time event logging.

How to Increase Inference Speed (FPS) for Computer Vision Models

27 Feb 2026 • 14 min read

How to Increase Inference Speed for Computer Vision Models

Struggling with low FPS in your computer vision model? This guide explains how to move from single-digit performance to real-time deployment using smarter preprocessing, Nano-scale models like RF-DETR, GPU acceleration, TensorRT optimization, and Roboflow Inference pipelines for maximum throughput.

computer vision model training graphs

23 Feb 2026 • 15 min read

Roboflow Training Graphs Guide

Learn how to read Roboflow training graphs. Understand what each curve means, how the underlying metrics are computed, and how to diagnose common training problems.

How to Monitor Inference Health

18 Feb 2026 • 7 min read

How Do I Monitor Inference Health?

Inference health monitoring is necessary to keep computer vision systems reliable in production. This guide explains key signals like latency, uptime, drift, and confidence trends, and shows how Roboflow helps teams track, diagnose, and improve real-world model performance.

How Do I Train a Model for Defects I Almost Never See?

12 Feb 2026 • 10 min read

How Do I Train a Model for Defects I Almost Never See?

Learn how to train and deploy a rare defect detection model with Roboflow.

Segment Anything

4 Feb 2026 • 7 min read

Segment Anything

This guide breaks down the SAM lineage - from SAM 1’s 50ms CPU inference to SAM 3’s open-vocabulary "GPT moment" - showing you how to deploy these foundation models into your production workflows today.

How to Reduce Scrap in Manufacturing with Computer Vision

26 Jan 2026 • 11 min read

How to Reduce Scrap in Manufacturing with Computer Vision

Scrap isn't inevitable, it is a visibility problem. Most manufacturers discover defects hours after they start. Computer vision changes this by detecting issues in real-time.

How to Use Vision-Language Models for Image Understanding

22 Jan 2026 • 7 min read

Using Vision-Language Models for Image Understanding

Vision-language models make image understanding fast and accessible. By using simple text prompts, teams can explore datasets, discover labels, spot errors, and speed up annotation early, before training, building stronger foundations for reliable computer vision systems.

Open-Vocabulary Object Detection Explained

16 Jan 2026 • 9 min read

Open-Vocabulary Object Detection Explained

Learn how open-vocabulary object detection actually works, how it differs from promptable segmentation and vision-language models, and when it’s the right tool for real-world vision systems.

Object Detection vs Vision-Language Models

13 Jan 2026 • 12 min read

Object Detection vs Vision-Language Models: When Should You Use Each?

Object detection and vision-language models solve different problems. This guide explains when to use each. And how speed, cost, and reliability differ.

How to Improve Cycle Time with Computer Vision

7 Jan 2026 • 10 min read

How to Improve Cycle Time with Computer Vision

Learn how computer vision measures cycle time continuously, reveals hidden waiting and handoffs, and turns cycle time from a guessed metric into a live operational signal.

Spatial Intelligence in AI

29 Dec 2025 • 7 min read

Spatial Intelligence

As AI systems move beyond screens and into the physical world, understanding three-dimensional space becomes essential. This article explains spatial intelligence: how AI builds world models, reasons about depth and motion, and moves from recognizing images to acting reliably in real environments.

post-deployment monitoring

16 Dec 2025 • 6 min read

How to Monitor and Improve AI Models in Production

Learn how to monitor a model in production, and improve its performance.

Machine Vision Lighting Types

11 Dec 2025 • 12 min read

Machine Vision Lighting Types

Good lighting is the foundation of any machine-vision system. This guide explains how different lighting types, filters, and deployment choices shape image quality.

Camera Calibration for computer vision

8 Dec 2025 • 12 min read

Vision AI Camera Calibration Guide

Learn what camera calibration is, and see how to calibrate a camera step by step with Roboflow.

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