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I created these little fun interactions with my website logo, as well as a tiny bird flying and hovering. Feel free to go and play around with them yourself. I'm planning on adding more of these fun elements all over.::
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Dragon Eye: 4K Neural-Link HMI (Rive)
Description: High-performance Vehicle HMI with adaptive AI telemetry. Built in Rive using complex Lua scripting, 3 custom Node Scripts, and ViewModel architecture. Features automated structural safety speed-limiters and oxygen-depletion altitude overrides. Engineering meets survival. 🐉🚀
https://vimeo.com/1178627971?share=copy&fl=sv&fe=ci
DOCUMENTATION: DRAGON EYE – NEURAL-LINKED HMI SYSTEM
Project Overview
Dragon Eye is a high-stakes Vehicle Human-Machine Interface (HMI) built entirely within the Rive engine. It simulates a biological-mechanical bridge between a pilot and a dragon-class flight engine. This project represents 80+ hours of architectural engineering, focusing on real-time data flow, safety-critical overrides, and immersive visual feedback.
TECHNICAL ARCHITECTURE
1. The Logic Layer (Lua Scripting)
The system is powered by a custom-coded backend using 3 Node Scripts and 2 Listener Action Scripts. This setup handles:
Asynchronous Telemetry: Real-time calculation of velocity, altitude, and energy consumption.
Contextual AI Feed: A "Synaptic Feed" that pushes dynamic messages to the HUD based on the current flight state.
2. ViewModel & Data Flow
Utilizing a ViewModel architecture, the project ensures a single source of truth for all UI elements.
Range Map Converters: Translate raw user drag-gestures into precise engine-velocity increments.
Synchronized State Machine: Ensures seamless transitions between Idle, Cruise, Turbo, and Combat modes.
SAFETY-CRITICAL PROTOCOLS (The "Guardian" Logic)
To elevate the HMI from a visual tool to a survival system, I implemented two major safety overrides:
Automatic Structural Protection (Speed Limiter):
The system continuously monitors mechanical stress. If the pilot exceeds the structural safety threshold (550+ units), the Neural Override triggers an immediate, automated deceleration to prevent catastrophic airframe failure.
Atmospheric Reclamation (Oxygen Protocol):
The AI monitors the rider’s biological vitals. If oxygen levels drop below 15% due to high-altitude flight, the system initiates a forced descent to a "breathable zone" (lower altitude) to prevent pilot hypoxia, overriding manual controls until vitals stabilize.
VISUAL & COMBAT SYSTEMS
Weaponry Interface: Custom-coded weapon systems featuring synchronized flicker effects and dynamic target-locking scaling.
Adaptive HUD: The interface scales and shifts based on G-force simulation, providing a 1:1 responsive experience.
Audio-Visual Synergy: Designed to sync with high-tempo, adrenaline-driven soundscapes for maximum pilot immersion.
Lead Engineer: Istvan Rac
Framework: Rive (Lua / State Machine / ViewModels)
Industry: Vehicle HMI / Aerospace Interface Design
80+ hours in Rive with Lua scripting and state machines — Dragon Eye is on another level entirely!
For this project, I explored what an HMI for a futuristic spaceship could look like if space travel became as normal and accessible as driving a car. Inspired by modern vehicle interfaces and ultra-widescreen EV displays, I designed a concept that lets users navigate between airspace and orbit — including activating an Orbit Jump.
This is next-level 🚀 Love how you’ve blended futuristic sci-fi concepts with practical vehicle UI logic the Orbit Jump idea is brilliant! The interface feels intuitive yet cinematic, like you could actually see this in a commercial spaceship.
Hey everyone, this is my submission for the @Rive HMI Challenge 🚀
Excited to share my Vehicle HMI (Human-Machine Interface) design, focused on a Boat Dashboard UI built using @Rive.
This project explores a modern marine interface that combines real-time data, navigation insights, and smooth interactive animations to create a seamless user experience 🌊
The experience is designed as a clear flow:
connection → system sync → navigation → monitoring → alerts → control
The interface highlights key elements like speed, fuel, GPS tracking, weather conditions, and risk indicators — all structured to keep the information clear, minimal, and easy to understand.
A major focus of this project is how motion communicates system behaviour. Each animation reflects a state change, helping users instantly understand what’s happening in the system.
Built using State Machine, Data Binding, and Layout in Rive.
Would love to hear your thoughts 👇
That marine dashboard layout is super clean — using motion to signal state changes instead of alerts is the right call for a cockpit UI
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