December 2019 Summaries

The fitness industry is experiencing significant growth due to the popularity of wearables and connected hardware companies like Peloton. Live video broadcasting is playing a major role in this revolution, with platforms such as LiveKick, ClassPass, and Peleton offering live fitness sessions for people with busy lives. Additionally, virtual wellness communities like Zubia are bringing together individuals to share valuable information on health and wellness topics. Agora's SDK allows businesses across various industries, including health and fitness, to create customized live video experiences for their customers.

This blog by Shriya Ramakrishnan, an Agora Superstar, discusses a Number Plate Recognition demo system created using TensorFlow and Agora. The author provides a step-by-step guide on how to set up the system, including signing up for an Agora account, creating a new project, procuring the app-id, installing dependencies, and executing the code. The code uses functions from the AgoraRTC library to connect to a video call and detect number plates in real-time using live interactive video streaming. The author also explains how to build the system by downloading the GitHub repository and providing necessary links for input and output images, weights, and other parameters.

This tutorial guides developers on how to create an immersive video chat app using Augmented Reality (AR) in Unity. The guide assumes that the reader has already created a basic video chat app, as demonstrated in a previous tutorial. To implement AR functionality, the Agora Video SDK for Unity3D is integrated into the project. Additionally, AR Foundation packages are installed on Unity Editor. The existing project is then modified to include an AR Camera and a sphere for positional reference. A script is also updated to generate cubes instead of planes when a new remote user joins the chat. Finally, the app is built for either iOS or Android, with configuration settings adjusted accordingly.

This guide provides step-by-step instructions on how to build an iOS app that leverages ARKit and video chat to create an interactive experience for remote assistance. The app is designed for two users in separate physical locations, where one user receives remote assistance while the other provides it. The app includes features such as channel creation, video chat functionality, touch gesture handling, data transmission, displaying gestures in augmented reality, and undo functionality. The guide assumes a basic to intermediate understanding of Swift and iOS SDK, along with ARKit and Augmented Reality concepts. It also requires an Agora Developer Account and hardware such as a Mac with Xcode and two iOS devices (iPhone 6S or newer and iPad 5th Generation or newer).

Agora provides a variety of contact options and resources for users, including a phone number, email, and a physical address in Santa Clara, California, alongside an extensive online presence via social media platforms such as Twitter, Facebook, LinkedIn, Instagram, YouTube, Medium, and GitHub. The company offers several navigation options for users interested in pricing, support plans, getting started, and developer resources, while also providing insights into its corporate structure, compliance and privacy information, and career opportunities. Agora emphasizes its commitment to transparency and user experience by outlining its Privacy Policy, Cookie Policy, Terms of Service, and Acceptable Use Policy. The website uses cookies to enhance user experience and monitor site traffic, with a clear option for users to consent or opt out of cookie usage in compliance with their Cookie Policy.

This tutorial guides developers on how to create a cross-platform video call app using the Agora React Native SDK. The process involves creating an account on the Agora platform, generating an App ID, and setting up the project structure for the React Native application. The developer then installs the necessary dependencies, sets up the camera and microphone permissions, and initializes the RTC engine using the App ID. The tutorial covers the core logic of the video call, including defining a class-based component to store the instance of the RtcEngine, handling user event states, and rendering the local and remote users' video feeds. With these steps, developers can build a custom React Native calling app that maintains low latency, load balancing, and cross-platform compatibility.