4 posts tagged with "AI"

Nobody wants to come back to their 3D printer and find a failed print — especially after hours of waiting. That's why 3D printer failure detection has become one of the most important features in modern 3D printing. But which tools actually work, and how do they compare?

In this guide, we'll compare every major 3D printer failure detection solution available in 2026 — from AI-powered cloud monitoring to built-in hardware sensors — so you can choose the best option for your setup.

Quick Comparison​

Tool	Detection Method	Printer Compatibility	Auto-Pause	Price	Open Source
Obico	AI camera vision	OctoPrint, Klipper, Bambu Lab	✅	Free tier + $4/mo Pro	✅
Bambu Lab Built-in	Lidar + camera	Bambu Lab only	✅	Included	❌
OctoEverywhere Gadget	AI camera vision	OctoPrint, Klipper	✅	$2.50-5/mo	❌
PrintWatch	AI camera vision	OctoPrint	✅	Free tier + paid	❌
Spoolman + runout sensor	Hardware sensor	Any (DIY)	✅	$5-15 hardware	✅
Manual monitoring	Webcam + human eyes	Any	❌	Free	N/A

Back in 2020, we pioneered AI-powered failure detection for 3D printing. We called it The Spaghetti Detective. It was a little bit magic, a little bit sci-fi, and it saved a whole lot of print jobs from turning into plastic pasta.

Since then, we never stopped innovating. We launched Nozzle Ninja (our first-layer AI sentinel), and even introduced JusPrin to handle the slicing for you.

But today? Today is about going back to our roots and making them stronger.

We are officially reinventing our core failure detection with a next-generation AI model.

Introduction​

The world of 3D printing has evolved, and the Biqu Huraken stands at the forefront of innovation. In this guide, we will explore the Biqu Huraken 3D printer and its cutting-edge capabilities. Notably, we'll delve into the exciting possibilities of enabling remote access and AI monitoring through the integration of Obico.

Introduction to Biqu Huraken​

The Biqu Huraken is not your ordinary 3D printer. It's a state-of-the-art machine that pushes the boundaries of what's possible in the realm of 3D printing. With its exceptional features and advanced technology, it's a must-have for both enthusiasts and professionals.

Author's bio: I am a Mechatronics and Control Engineer and a part-time hobbyist, who believes that only research & technology can make this world a better place.

The Obico team was the first to offer AI for 3D printing failure detection back as early as 2019. Since then, our AI has watched over 80 million hours of 3D printing and caught almost one million 3D printing fialures. Over the years, we have continued to improve our initial webcam based failure detection product and worked on a variety of new projects like our recent first-layer AI inspection that is currently in alpha testing.

This article is the first in a series on AI. In this series, we will discuss some of the basics in AI and how it can be applied to 3D printing.

Today, we will talk about the introduction and workings of deep learning. It is the era of technology, we see better interaction with machines every day. These machines are now capable of providing many services that were once totally expected from human beings. Almost all of these tasks are directly or indirectly connected with the advancement of deep learning.

Deep learning is the branch of machine learning that is capable of learning complex patterns of data presented in the form of networks. Nowadays, Deep learning is one of the most demanding fields because of the rapid growth in research and experiments on it. People are now more aware of deep learning and the reason is, deep learning is not only limited to higher-level technology, but the common devices also have their applications in it. This article is based on an introduction, basic information, and workings of deep learning, along with its applications. So we will start with the introduction.