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Based on our record, n8n.io seems to be a lot more popular than Google ARCore. While we know about 170 links to n8n.io, we've tracked only 8 mentions of Google ARCore. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Bit of a controversial opinion (since we are on a programmer's forum) but if you just want to soley focus on the "AI" part and not get bogged down by the code, use a no-code tool like flowise (https://flowiseai.com/). You will create 100x more successful "showcase-able" AI experiments in the same time it'll take to spin up one from scratch - and guaranteed to have a lot more fun doing so! Some inspiration here:... - Source: Hacker News / about 22 hours ago
I believe you can achieve that with n8n. Used in past (and still running) for some data transformation and little more. Possibly similar case what are you describing. https://n8n.io/. - Source: Hacker News / 2 months ago
A startup, "DevOps Solutions" adopts Helm to streamline their Kubernetes deployments. You're a consultant tasked with creating a basic Helm Chart for n8n. It should be customizable for different environments using values. - Source: dev.to / 5 months ago
Https://n8n.io/, https://github.com/huginn/huginn, https://automatisch.io/, https://www.activepieces.com/ and theres a lot more... I've used n8n, node-red, and huginn (a while back), but imo n8n has been the simplest off the shelf. - Source: Hacker News / 5 months ago
n8n.io - a powerful workflow automation tool. - Source: dev.to / 7 months ago
I don't know houw you would do it on ios but you should be able to do it on android if the phone supports it with.this library from google: https://developers.google.com/ar. Source: about 1 year ago
If you have any control on the choice of the source/webcam, I'd recommend using a camera that can sense depth from the start (lidar cameras, like Intel RealSense if you are building something like a commercial robot; or a consumer device with lidar capabilities like iPad Pros since 2020, because they come with SDKs to do what you want from the start. E.g. https://developer.apple.com/augmented-reality/arkit/ or... Source: over 2 years ago
You guys are right that Unity doesn't support building for arm64 Linux. It looks like the op could potentially install Android on the Raspberry Pi, which may allow them to run Android APKs built with Unity. However, AR Core is needed in order for Unity's AR functionality to work, and I suspect it would take additional work to get AR Core working on the Pi with an external camera and gyroscope. Source: over 2 years ago
If the phone doesn't support ARCore, then you would have to implement all of the world / surface detection yourself inside your application code, which is very difficult problem to solve. Source: over 2 years ago
If you're looking to build a more advanced application, there are plenty of useful resources for all major technologies. For mobile apps, the best places to get started are docs for Google ARCore and Apple ARKit. Both platforms work with popular gaming engines like Unity and Unreal Engine. - Source: dev.to / over 2 years ago
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.
Apple ARKit - A framework to create Augmented Reality experiences for iOS
Make.com - Tool for workflow automation (Former Integromat)
Vuforia SDK - Vuforia is a vision-based augmented reality software platform.
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
ARToolKit - The world's most widely used tracking library for augmented reality.