Argon4 vs JARVIS

The Argon Augmented Reality Browser was the worlds first Augmented Reality browser based on open web standards. Argon4 is the next step in the revolution started by Argon and continued by Argon2 Isotope and Argon3, seamlessly integrating advanced AR technology with iOS web technology. Argon4 enables traditional web developers to create augmented reality applications that combine the iOS device hardware sensors with computer vision tracking technology, making it simple to move the Internet off your desktop and into the world around you. Argon4 delivers AR experiences exactly the same way traditional web experiences are delivered, by entering a URL into the address bar. Web applications for Argon4 are created using the argon.js javascript library. Visit the Argon developer site to see how to create your own AR-enabled web site. Documentation and tutorials for creating AR-enabled web content for Argon can be found on http://argonjs.io, the developer site for the argon.js library used to create platform-independent AR web content. *** For best results we recommend an iPhone5s or later. Argon4 leverages a variety of iOS device sensors including the camera, gyroscopes, compass, and accelerometers. Following the same development model as a traditional web browser, Argon4 is designed to allow rapid development and deployment of Web 2.0 style AR content. Argon4 exposes a suite of Javascript APIs into iOSs built-in web renderer, allowing developers to define a channel of augmented reality content delivered from a standard web server. This powerful combination allows easy authoring and hosting of interactive AR content, with complete control over the presentation and interactivity experienced by the user. Augmented reality experiences can be designed using existing web technologies, including WebGL, HTML, CSS and JavaScript. Just about anything that can be presented in the iPhone's Safari web browser can be pushed out into 3D in the world around the user

CCTV surveillance, the traditional way, is used to stream live video footage on to TV screen monitors. They either need a full-time observation or they are recorded and one can access them later as and when the situation demands so. Now, there is a problem that humans can always make errors while making observations from video surveillance. The operators might unintentionally miss out on crucial suspicious behaviors that can cause possible adversities or mishaps. This is a rather tedious task too. Thus, a simple network of CCTV cameras is just as good as the person sitting behind the ever so many monitors. This is exactly where the use of JARVIS changes the whole game. The app can work all the time and with an accuracy that will miss no suspicious detail. Trained to predict any suspicious behavior based on the body language, the biggest benefit of these systems is that they send real-time alerts to you on your phone or laptop devices synced to it, no matter where you are. Thus, eliminating the need for somebody to keep a constant vigil. Day or night the AI cameras will be there giving you an alert as soon as it finds something anomalous happening. This gives us a lead-time by saving us from going through all video footage for hours finding that one clue.