은 컴퓨터 그래픽 · 2024

Drivemind 자율 배송 차량

by Pixready Ltd.

A' Design Award 은상 2024 in 컴퓨터 그래픽
CLIENT: Pixready
Estimated Number of Design Views: 63,162
Verification code 30BA75645D · Verify this award

Visit Site View at A' Design Award Press Release

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About Drivemind 자율 배송 차량

이 디자인은 자율 배송 차량에서 레트로 미학과 현대적 기능성의 혁신적인 융합을 선보입니다. 정밀한 모델은 첨단 3D Max 기술로 제작되었으며, 야외 장면에서의 사실적인 시각화를 통해 차량의 독특한 미학을 전달합니다. 이 디자인은 향수와 첨단 기술의 균형을 이루며, 배송 산업의 전통주의자와 혁신가 모두에게 어필합니다.

About the A' Design Award 은상

Drivemind 자율 배송 차량, 이 작품은 A' Design Award 은상 수상작으로, 최상급이며 아름답고 인상적인 디자인에 수여되는 비범하게 권위 있는 인정입니다. 은상 수상작은 대단히 뛰어나고 매우 창의적인 작품으로, 디자이너의 탁월한 전문 지식, 재능, 통찰력을 보여 줍니다. Drivemind 자율 배송 차량, 이 작품은 훌륭한 대표작으로서 매우 전문적이고 깊이 있게 혁신적일 것으로 기대됩니다. 이 은상 수상 디자인은 예술, 과학, 디자인, 기술의 경계를 넓히는 데 이바지하는 주목할 만하고 찬사를 받는 발명품입니다. Drivemind 자율 배송 차량, 이 작품은 모두가 부러워하는 창작물로서 욕망을 일깨우고 긍정적인 감정을 불러오며 경탄과 경이로움을 불러일으킵니다.

Press Kit

Unique Properties: In partnership with DriveMind, a visionary autonomous delivery company, PIXREADY embarked on a mission to transform DriveMind's innovative product idea into captivating visuals. Using 3Ds Max, we crafted an accurate 3D version of the concept, complemented by realistic outdoor scenes. The project aimed to spark investor interest by showcasing the smart, cost-effective design of DriveMind's autonomous delivery vehicle.
Dimensions & Packaging: All the final images were rendered in 4K using Corona Renderer.
Tags: 3d, 3d visualization, 3d modeling, 3d rendering, car, vehicle, autonomous vehicle, product concept
Production Technology: The DriveMind Autonomous Delivery Vehicle was conceptualized and visualized using 3D modeling and rendering software, with 3Ds Max as the primary tool. From initial sketches to detailed 3D models, the production process leveraged cutting-edge technology to bring the concept to life in photorealistic detail.
Design Challenge: The DriveMind project presented intricate challenges that demanded precision and creativity. From creating sketches and clay models to transitioning to a digital 3D model, each step required meticulous attention to detail. Additionally, creating immersive scenes for visualization while accurately portraying the vehicle in various environments was challenging. Navigating these obstacles necessitated technical expertise, attention to detail, and effective communication to meet DriveMind's expectations.
Research: The project's research involved gathering information and images related to Italian retro-style cars, specifically focusing on models like Fitzroy Motors, per the client's request. The efforts were dedicated to understanding and matching the client's preferences for transforming this retro style into a modern approach. Leveraging various online resources and industry insights related to autonomous delivery vehicles and urban logistics, we compiled a comprehensive mood board, serving as the foundation for the project.
Inspiration: DriveMind's inspiration stemmed from its ambition to redefine the package delivery landscape through innovative autonomous technology. Our design approach seamlessly blends retro style and futuristic elements with practical functionality to reflect DriveMind's commitment to leading the industry transformation. Extensive research and reference collection ensured our visualization captured DriveMind's pioneering spirit and forward-looking vision clearly and concisely.
Project Duration: The project lasted 2 months for a client based in the USA. The PIXREADY's 3D design, visualization & modeling team worked in Ukraine
Operation Flow: PIXREADY's team operated autonomously throughout the project, efficiently navigating each stage. We began by creating sketches and clay models from scratch, allowing us to understand the vehicle's structure in detail. Once DriveMind approved the concept, our 3D artists digitally recreated the model in 3Ds Max, ensuring accuracy and precision. This 3D model served as the foundation for further visualizations, with multiple scenes tailored to DriveMind's preferences. We maintained close interaction with DriveMind throughout the process, incorporating feedback seamlessly to refine the visualizations and enhance project efficiency.