Fologram vs Napix

Fologram streams Rhino and Grasshopper models to your iPhone and iPad for presentations, fabrication and design. You can use Fologram to view models at scale, build simple modelling tools, create and follow interactive assembly instructions or even prototype complex mixed reality user interfaces and dashboards. To start using Fologram, download the Fologram for Rhino plugin from fologram.com/download then check out docs.fologram.com for example projects, research publications, grasshopper definitions and troubleshooting resources. Stream Rhino Models to your iPhone or iPad: View Rhino models in AR Change scale for immersive 1:1 experiences or tabletop models Custom AR display modes optimised for performance and usability Real-time interactivity: Change geometry, layer properties and materials and see these update in real-time Connect to any Fologram session over the internet for remote model access Build mixed reality applications in Grasshopper: Interact with buttons, sliders and lists in your Grasshopper definition on your iPhone or iPad Real time sensor data: Stream your device position, touch gestures and depth data to Grasshopper Track custom QR codes for part recognition or interactive model placement High precision AR for fabrication: Quickly view models in space using markerless tracking For high precision fabrication applications or physical overlays, locate models with multiple markers Presentations and Exhibitions: View and interact with Rhino and Grasshopper models in AR on multiple devices Host models on the cloud for public access Share links to models with QR codes

Napix is an innovative app designed to improve logistics safety by detecting driver drowsiness and notifying both the driver and the logistics team. The app has two interfaces: one for the logistics team (admin) and another for the driver. • Logistics Team Interface: Allows companies to manage drivers, vehicles, and routes. Features include adding drivers, vehicle management, route scheduling, and real-time alert monitoring. • Driver Interface: Enables drivers to start monitoring while driving, and alerts them with a loud sound when signs of drowsiness are detected. The logistics team is also alerted to take necessary actions. • Technology Stack: Swift, SwiftUI, AVFoundation, CoreML,CreateML, VisionKit, Node.js, MongoDB. • Core Features: Drowsiness detection, route monitoring, real-time alerts, and secure data management. • Additional Information: • Age: 18+ • Language: English • In-App Purchases: No • Size: • Compatibility: Requires iOS 17 or later. Compatible with iPhone. • Price: Free