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More projects we love that are making waves across the web
Cover image for This one started with a
This one started with a conversation about sound. About how certain periods just felt different. You can hear it instantly, not because it’s perfect, but because it has character. Today, you can make anything sound clean. But that doesn’t automatically give it feeling. That’s the balance Next Movement is chasing. A lot of their inspiration comes from specific moments in time: studios, gear, records that shaped how things used to sound. To mirror that, I looked at design from those same eras. Not to copy it, but to understand its logic, the restraint, the structure, the intent behind it. From there, I combined it with a more contemporary approach. Something that feels precise and current, but still carries that sense of weight. This is a short glimpse into that direction.
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Cover image for Dragon Eye: 4K Neural-Link HMI
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
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