3 posts tagged with "3D Printer Monitoring"

So, you’ve got a Bambu Lab 3D printer—maybe a fancy X1 Carbon, or maybe a more modest A1 or P1P—and you’re absolutely in love with how quickly and smoothly it prints. These machines are kind of like the Ferraris of the consumer 3D printing world, right? Super-fast, often come with neat features like built-in cameras, enclosed builds, multi-color printing capabilities, and even some AI-based magic that tries to detect when your print turns into the dreaded “spaghetti monster.” You know what I’m talking about: that moment when your once-promising print becomes a pile of tangled filament resembling something you’d serve with meatballs.

But here’s the catch: Not all Bambu Lab printers have the same level of AI detection built in. Models like the Bambu X1 Carbon are decked out with advanced AI spaghetti detection and even LiDAR to inspect that first layer. Meanwhile, other models—like the Bambu A1 series or the P1P—lack AI features altogether. Maybe you went from a Creality printer that you’d meticulously set up with OctoPrint and had all sorts of plugins running, including advanced failure detection. Then you jumped ship to a Bambu Lab machine and realized you miss that robust ecosystem. Or maybe you just love tinkering and want to integrate Obico’s AI-based spaghetti detection and remote monitoring into your Bambu workflow.

Well, good news: With a bit of creativity, a spare single-board computer (like a Raspberry Pi or Orange Pi), a camera (such as a trusty old Logitech C920), and some software tweaking, you can get AI failure detection working via Obico on your Bambu printer—no matter which model you have. This can transform your Bambu printer setup into something that feels both luxurious and smart, catching failures before they waste days of print time and tons of filament.

In this “case study” or super-long how-to, I’ll walk you through a scenario: Let’s imagine you have a Bambu A1 printer. You love it, but you want AI failure detection similar to what you might have had with other printers integrated with Obico. We’ll talk about using OctoPrint as a virtual “bridge,” installing plugins, setting up a camera, and linking everything to Obico’s cloud so you can watch your prints from anywhere, get notifications if something goes wrong, and even pause or stop the printer remotely. And if you’re on a higher-tier Bambu like the X1 Carbon, you might not need this as much—but it’s still super cool to have another layer of AI detection from Obico’s machine-learning setup.

I’ll also share some links to relevant GitHub repos, documentation pages, and other helpful guides.

Introduction​

The technology of 3D printing has revolutionized the manufacturing process by enabling the production of intricate designs and personalized parts with relative ease of operation. However, like all technologies, 3D printing has its fair share of challenges. Print failure is one of the most significant, leading to material waste as well as a loss of time and money.

Fortunately, advanced artificial intelligence (AI) systems have come up with new techniques for early detection and prevention of such failures, which can be done by alerting users, modifying the print depending on the intensity of the error, or even stopping it completely before wasting more resources. Here we will go through some AI-based failure detection solutions for 3D printing provided by Obico, Bambu Lab, Creality, Octoprint Nexus AI, and OctoEverywhere.

Introduction​

Kingroon is a big name in 3D printing. They make great printers that many people love to use, both for fun and for work. One cool thing about their printers is that they come with pre-installed Klipper firmware. This makes the printers even better and faster.

In this article, we'll talk about two Kingroon printers: the KLP1 and the KP3S Pro V2. We'll also show you how to connect them with Obico. This lets you use some neat features, like controlling your printer from far away and having AI help check on your prints.