Articles Fritz has written:

Behavior Scripts in Lens Studio: The Basics

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What is a behavior script? While initially this term looks complicated, it’s actually a surprisingly simple Lens Studio feature that allows you to turn your static projects into dynamic, interactive experiences.

You can find them in pretty much any Lens; from the most complex 3D experience, to a simple blush face paint Lens; Behavior scripts serve many functions and cover a wide range of commands in Lens Studio.

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Scan Barcodes on Android Using Google’s On-Device ML Kit

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Google’s on-device ML Kit recently introduced another API for barcode scanning. It can read and scan almost a dozen different types of barcodes including Codabar, Code 39, Code 93, EAN-8, EAN-13, QR code, PDF417, and more.

The barcode scanning API also tells you the scanned format and it will automatically detect the formats. The other main feature of this API is that you can use it in your application without a network connection and it will support the different orientation.

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Best Features Of Spark AR Studio to Build AR-Powered Lens

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Augmented Reality (AR) is a digital virtual interface that overlaps created images on top of the real world, generally through a phone. AR necessitates the use of an app to provide the consumer with a superior experience. But people can be adamant about not installing another app. But there’s a solution to reaching your audience without asking them to download — using their already existing apps.

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Swipeless Tinder Using iOS 14 Vision Hand Pose Estimation

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The introduction of iOS 14 brought in a slew of enhancements and interesting new features in Apple’s computer vision framework.

Vision framework was released in 2017 in a bid to allow mobile application developers to leverage complex computer vision algorithms with ease. Specifically, the framework incorporates a host of pre-trained deep learning models whilst also acting as a wrapper to quickly run your own custom Core ML models.

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LiDAR and Camera Fusion in Self-Driving Cars

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Sensor fusion is one of the key aspects of self-driving cars.

If we take a look at the 4 main elements of self-driving vehicles, we can categorize sensor fusion a part of both the perception and the localization world. The reason is simple: both these disciplines use multiple sensors to function.

For example, perception is using cameras, LiDARs, and RADARs to detect obstacles’ classes, positions, and velocities with high accuracy. Localization, on the other hand, fuses GPS, LiDAR, and camera data to get an accurate position with centimeter-level accuracy.

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Introducing the Fritz AI Dataset Collection System

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Today we’re excited to announce the Fritz AI Dataset Collection System, an important piece in our effort to help ML teams and developers generate, collect, and use data for mobile machine learning projects.

Data is a critical component to AI workflows, and the best data comes from the real world, where your models are (or will be) deployed.

For mobile machine learning projects, that means a user’s phone. The new Dataset Collection system makes it easy to gather this data through the same convenient SDK that delivers and runs your models.

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