Software Alternatives, Accelerators & Startups

Eyeware Beam VS Apple Core ML

Compare Eyeware Beam VS Apple Core ML and see what are their differences

Eyeware Beam logo Eyeware Beam

Turn your phone into an eye & head tracker!

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app
  • Eyeware Beam Landing page
    Landing page //
    2023-07-30

Our team is currently working on an iPhone app that will turn your phone into an eye tracker, amongst other features like head tracking and webcam streaming. Our goal is to provide an easy and affordable way to get started with eye tracking, making it accessible to everyone.

We are looking for beta testers! Here you can find the sign-up page for the beta: https://beam.eyeware.tech

  • Apple Core ML Landing page
    Landing page //
    2023-06-13

Eyeware Beam videos

The Eyeware Beam Smartphone App Transforms Your iPhone Into A Robust Head & Eye Tracker

Apple Core ML videos

IBM Watson & Apple Core ML Collaboration - What it means for app development

Category Popularity

0-100% (relative to Eyeware Beam and Apple Core ML)
Mobile Apps
100 100%
0% 0
Developer Tools
47 47%
53% 53
AI
0 0%
100% 100
Consumers
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Eyeware Beam should be more popular than Apple Core ML. It has been mentiond 33 times since March 2021. 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.

Eyeware Beam mentions (33)

  • Webcam Eye Tracking for Games: What Demos to Build First and How to Facilitate Adoption?
    We created an AI-powered eye tracking (and head tracking) PC software called Eyeware Beam ( https://beam.eyeware.tech/ ) that only requires a standard webcam. We're a deep tech team and developed the technology in-house. As you probably expect, it is less accurate and illumination robust than dedicated infrared trackers (like a Tobii 5), but good enough to enhance many gaming use cases. Most of our users are... Source: 6 months ago
  • If you're interested in eye-tracking, I'm interested in funding you
    I literally just bought this last night. Works with just a webcam and is shockingly accurate. https://beam.eyeware.tech/. - Source: Hacker News / 9 months ago
  • We made this webcam eye tracker app that lets you control the camera in Star Citizen and more OpenTrack-supported games using your eyes for a VR-like feel. It combines both head and eye movements.
    Happy to learn from you how we can make it better. Thanks in advance for your feedback! https://beam.eyeware.tech. Source: 9 months ago
  • Eye tracker while playing Isaac.... a real eye-opener by Sinvicta?
    We don't have any tear detection built into our Eyeware Beam tracker yet. I've seen youtubers implement solutions linked to tazers: https://www.youtube.com/watch?v=XR11BkzZ8NU. That might help generate the tears.:17737:. Source: about 1 year ago
  • Is it possible for an application to use true-depth camera data to detect face and eye data from an angle similar to the phone being placed on a table with a slight lift?
    Check out https://beam.eyeware.tech Now. The truth of this is you just cannot get the resolution for accurate eye tracking. But it’s enough for calculating gross position. Source: about 1 year ago
View more

Apple Core ML mentions (7)

  • Ask HN: Where is Apple? They seem to be left out of the AI race?
    On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / 3 months ago
  • The Magnitude of the AI Bubble
    Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 4 months ago
  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
  • Apple to occupy 90% of TSMC 3nm capacity in 2023
    > It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / about 1 year ago
  • The iPhone 13 is a pitch-perfect iPhone 12S
    This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: over 2 years ago
View more

What are some alternatives?

When comparing Eyeware Beam and Apple Core ML, you can also consider the following products

TrackIR - TrackIR adds depth to the PC gaming experience by enabling players to take control of the in-game view.

Amazon Machine Learning - Machine learning made easy for developers of any skill level

FaceTrackNoIR - FaceTrackNoIR is only available for Windows-based PC's (sorry, we have to start somewhere) and...

TensorFlow Lite - Low-latency inference of on-device ML models

GiMeSpace Cam Control - Control your computer by making gestures in front of the webcam.

Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.