Pysource Blog
Practical tutorials, product updates, and field notes for building reliable computer vision systems.
Hi, this is Sergio,In this new video series, I’m going to take you behind the scenes as I build a complete AI vision inspection system for manufacturing, from idea to fully deployable product. We’ll go far beyond the short, flashy demos you see online. Instead, you’ll see the real process of designing, planning, and developing […]
You’ve probably seen dozens of impressive AI vision demos online—cars being tracked, objects being counted, bounding boxes dancing across the screen. They look great for a few seconds of video, but here’s the truth: most of them are just demos, not production systems. What’s missing? A database. And that changes everything. Why Databases Matter for […]
Speed detection isn’t just for radar guns anymore. With the power of computer vision, Python, and OpenCV, you can now estimate the speed of any moving object using just a video feed and some basic calibration. In this guide, we’ll show you how to accurately calculate vehicle speed in real time, with less than a […]
In today’s AI-driven world, building scalable, real-time computer vision systems is no longer a luxury—it’s a necessity. Whether you’re developing smart traffic monitoring, industrial inspection solutions, or advanced surveillance systems, the ability to process multiple video streams concurrently on a single device can dramatically reduce costs and complexity. This post shows you how to build […]
Developing robust visual inspection systems in manufacturing, especially for electronics, can be challenging due to the need for high accuracy and limited availability of labeled data. This post walks through how to build a complete pipeline using Python to detect multiple types of defects on printed circuit boards (PCBs), even with a constrained dataset. The […]
If you’re working with computer vision, especially YOLO-based object detection systems, one of the biggest performance bottlenecks is processing speed. Whether you’re handling real-time CCTV feeds, analyzing thousands of hours of video, or deploying on edge devices like Jetson, speed is not a luxury—it’s a necessity. In this post, I’ll break down the eight key […]
Standard object detection models like YOLO often struggle when tasked with identifying very small or distant objects in high-resolution images. Whether you’re analyzing drone footage, satellite imagery, or surveillance video, detection accuracy tends to drop significantly when the target objects occupy only a few pixels. In this post, you’ll learn how to overcome these limitations […]
In the fast-paced world of manufacturing and production, real-time defect detection is not just a luxury—it’s a necessity. Whether you’re working with conveyor belt systems or automating quality control, integrating computer vision can drastically enhance efficiency and accuracy. In this guide, I’ll walk you through how to build a defect detection system from scratch using […]
Object detection is a powerful technology for Building an object detection project. It has applications across various fields, from identifying animals and detecting vehicles to recognizing products on a shelf or ensuring safety in industrial settings. In this article, I’ll break down the process of building an object detection project—whether it’s your first time or […]
In this tutorial, we will explore how to accelerate OpenCV to process more than 500 frames per second (FPS). But first, why should we focus on speeding up OpenCV? Faster frame processing is crucial when working with video applications like object detection, object segmentation, and similar tasks that are time-intensive. The quicker we can process […]
