• 8 min read
How to Outline an Object with Computer Vision
Learn how to use computer vision to calculate outlines for objects.
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Contributing Writer
Latest Posts by Contributing Writer
• 11 min read
Mapping Robot Paths in Robotics Competitions with Computer Vision
Learn how Mason created a tool to map robot paths in robotics competitions with computer vision.
• 7 min read
What is ByteTrack? A Deep Dive.
Introduction
Detecting and tracking multiple objects in a video in real-time can be tricky. Luckily, the computer vision community has developed object-tracking algorithms to tackle this task over the years. These algorithms aim to identify and follow objects as they move through a video.
A great example of these algorithms
• 6 min read
Error Proofing in Manufacturing with Computer Vision
Introduction
Mistakes during manufacturing can potentially eat up 20% of a company's revenue. Error-proofing, also known as poka-yoke, is a strategy used in manufacturing to prevent mistakes and make sure that products are made correctly. By creating processes that reduce or eliminate errors, manufacturers can cut down on
• 5 min read
Automatic Stop Sign Violation Detection
This post was contributed by Leonard Persson Norblad
This automatic stop sign violation detector utilizes an object detection model fine-tuned in Roboflow, combined with Roboflow’s PolygonZone to identify vehicles that violate stop signs. Video recordings of vehicles that fail to stop are flagged for reporting. For complete code and
• 7 min read
What is Optical Character Verification? A Comprehensive Guide
Optical Character Verification, or OCV, is a technology that verifies the accuracy and quality of printed text on manufactured items. Manufacturers and sellers check the accuracy of information on packages, from food labels to medication packaging, in a fast and automated way using OCV.
OCV works with Optical Character Recognition
• 8 min read
How to Extract Text From Images
Introduction to Text Extraction
Manually working with data in JPG, PNG, or PDF formats can be a hassle, as it takes a lot of time to analyze and these files can’t be managed easily in a programmatic way. We can use tools, either online or offline, to convert images
• 8 min read
People Counting Using Computer Vision
Introduction
Counting and keeping track of a large number of people entering and exiting an event can be challenging, especially when security is a priority. Traditional methods of monitoring people make it difficult for security officials to keep track of everyone in real-time. However, advancements in AI technologies like computer
• 8 min read
Top 7 Open Source Object Tracking Tools [2025]
Object tracking is a computer vision task that can identify various objects and track them through the frames of a video.
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Knowing where an object is in a video has many real-life applications, especially in manufacturing and logistics. For example, object tracking can be used
• 8 min read
What is the Open Images Dataset? A Deep Dive.
The Open Images Dataset was released by Google in 2016, and it is one of the largest and most diverse collections of labeled images. Since then, Google has regularly updated and improved it. The latest version of the dataset, Open Images V7, was introduced in 2022.
Globally, researchers and developers
![The Guide to AI OCR [2025]](/content/images/size/w640/2024/07/Copy-of-Blog-Image-Template.png)
• 6 min read
The Guide to AI OCR [2025]
Learn what AI OCR is and how it is used in computer vision.
• 5 min read
What is FPS? A Computer Vision Guide.
Learn what FPS is and what FPS considerations you should keep in mind when working on computer vision projects.
• 8 min read
What is F1 Score? A Computer Vision Guide.
Learn what F1 score is, for what it is used, and how to calculate F1 score.
• 8 min read
How To Train and Deploy an ANPR System
Learn how to train and deploy a license plate detection model for use in building an ANPR system.
• 6 min read
Top 5 Image Augmentation Tools for Computer Vision: A Guide
Learn about five tools you can use to generate augmented image data for use in training computer vision models.
• 8 min read
What is Scene Classification? An Introduction.
In this guide, learn what scene classification is and how to classify scenes with computer vision.
• 8 min read
What is OpenVINO? A Guide for Beginners.
Learn what OpenVINO is and how you can use it to run inference on a computer vision model in Python.
• 6 min read
What is MediaPipe? A Guide for Beginners
In this article, we discuss what MediaPipe is, what you can do with MediaPipe, and how to use MediaPipe in Python.
• 9 min read
What is OpenPose? A Guide for Beginners.
In this guide, we discuss what OpenPose is, what you can do with the model, and how you can use OpenPose.
• 8 min read
What is OpenCV? A Guide for Beginners.
Learn what OpenCV is, what you can do with OpenCV, how OpenCV performs on various tasks when run on CPU vs. GPU, and more.
• 7 min read
Monitor and Analyze Retail Queues Using Computer Vision
Learn how to monitor retail queues to identify when customers have been waiting for too long.
• 6 min read
Assess Car Damage with Computer Vision
Learn how to assess visual car damage using computer vision.
• 4 min read
What is FFmpeg? A Guide for Computer Vision Tasks.
In this guide, we show how to install FFmpeg and use FFmpeg to convert videos between formats and split a video into frames for use in training a vision model.
• 6 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.
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