One post tagged with "AI Spaghetti Detection"

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.