Drivemind 自主配送車輛 by Pixready Ltd. is a highly esteemed winner of the very prestigious 2024 A' Design Award 銀獎 in 電腦圖像設計 Competition Category.

銀電腦圖像· 2024

Drivemind 自主配送車輛

by Pixready Ltd.

Client: Pixready

A' Design Award 銀獎 Winner in 電腦圖像 Category

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Verified Award Winner

Verify Award Status for #157492

Visit Site View at A' Design Award Press Release Award Badge

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The Design

About Drivemind 自主配送車輛

此設計展現了自主配送車輛在復古美學與現代功能上的創新融合。精確模型採用先進的3D Max技術製作，並配以照片級逼真的戶外場景視覺效果，以傳達車輛獨特的美學特色。設計在懷舊情懷與尖端科技之間取得平衡，同時吸引配送業界的傳統派及前瞻思想家。

The Recognition

About the A' Design Award 銀獎

Drivemind 自主配送車輛是 A' Design Award 銀獎得主，這是授予頂級、華美而令人印象深刻的設計的極為崇高的認可。銀獎得主是極其卓越、極具創造力的作品，展現出其設計師傑出的專業技能、才華與敏銳。預計Drivemind 自主配送車輛將成為一件出色的典範之作，兼具非凡的專業性與深刻的創新性。這件贏得 A' Design Award 銀獎的設計是一項備受矚目、令人欽佩的發明，造福並拓展藝術、科學、設計和技術的界限。Drivemind 自主配送車輛是一件令人羨慕的創作，它喚起渴望，帶來積極的情感，並激發驚嘆與讚嘆。

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

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.
Team Members: Andrii Proskurniak,
Andrii Kis