Drivemind 自主配送车辆 by Pixready Ltd. is a highly esteemed winner of the very prestigious 2024 A' Design Award 银奖 in 计算机图形、三维建模、纹理与渲染设计 Competition Category.

银计算机图形· 2024

Drivemind 自主配送车辆

by Pixready Ltd.

Client: Pixready

A' Design Award 银奖 Winner in 计算机图形 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 自主配送车辆

该设计展示了自主配送车辆中复古美学与现代功能性的创新融合。精密模型采用先进的3D Max技术精心打造，并配以户外场景中的照片级真实渲染，以传达车辆的独特美学。该设计在怀旧情怀与尖端技术之间取得平衡，吸引配送行业中的传统主义者和前瞻者。

The Recognition

About the A' Design Award 银奖

Drivemind 自主配送车辆是 A' Design Award 银奖得主，这是授予顶级、华美而令人印象深刻的设计的极为崇高的认可。银奖得主是极其卓越、极具创造力的作品，展现出其设计师杰出的专业技能、才华与敏锐。预计Drivemind 自主配送车辆将成为一件出色的典范之作，兼具非凡的专业性与深刻的创新性。这件赢得 A' Design Award 银奖的设计是一项备受瞩目、令人钦佩的发明，造福并拓展艺术、科学、设计和技术的边界。Drivemind 自主配送车辆是一件令人羡慕的创作，它唤起渴望，带来积极的情感，并激发惊叹与赞叹。

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