设计师 Zeyuan Zhang and Xuechun Tao 的作品 Thermal Sense 驾驶员监测界面 荣获了极具声望的 2025 A' Design Award 铜奖，竞赛类别为界面、交互与用户体验设计。
铜界面· 2025
Thermal Sense 驾驶员监测界面
设计师： Zeyuan Zhang and Xuechun Tao
客户: Tick Design Labs (Shanghai)
界面类别A' Design Award 铜奖获奖者
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关于 Thermal Sense 驾驶员监测界面
Thermal Sense 是一款面向汽车的驾驶员监测界面。它以低分辨率热成像传感器取代传统车载摄像头，仅记录热量分布图像，因此不会生成可识别身份的影像。该传感器模块尺寸为40毫米×30毫米×20毫米，安装于后视镜上，可实现宽广的座舱覆盖范围。神经网络通过分析闭眼频率与头部动作，识别驾驶员的疲劳、分心状态以及儿童的存在。安全警报在100毫秒内即可发出，隐私则在数据层面得到保护。
荣誉认可
关于A' Design Award 铜奖
Thermal Sense 驾驶员监测界面是 A' Design Award 铜奖得主，这是授予以创造力、独创性和敏锐见长的杰出设计的极具声望的认可。铜奖得主是技艺娴熟、创意惊人的作品，印证了其设计师丰富的经验、想象力与机智。预计Thermal Sense 驾驶员监测界面将成为一件备受推崇、令人钦佩且被珍爱的物品，兼具显著的专业性与创新性。这件赢得 A' Design Award 铜奖的设计融入艺术、科学、设计和技术领域的最佳实践，并因注重细节而出类拔萃。Thermal Sense 驾驶员监测界面出色地满足需求，触动渴望，迷住情感，并吸引好奇心。
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由设计师提供的致谢、团队成员及技术详情。
- 独特属性
- With the increasing requirement for in-car cameras to monitor drivers and support assisted driving systems, Thermal Sense offers a groundbreaking alternative. It replaces traditional cameras with low-resolution thermal sensors, capturing only heat signatures to eliminate privacy risks. This system ensures data-level privacy while detecting drowsiness, distractions, and child presence using advanced machine learning. By prioritizing safety and privacy, Thermal Sense sets a new benchmark.
- 尺寸与包装
- The thermal sensor module measures 40mm x 30mm x 20mm and is mounted discreetly on the rearview mirror for optimal cabin coverage. It features a low-resolution array of 32x32 pixels with a thermal sensitivity of ± 0.1°C. The system operates in real-time with a latency of under 100ms, powered by a custom hardware platform integrating convolutional neural network architectures. The package is lightweight, energy-efficient, and optimized for seamless automotive integration.
- 标签
- thermal imaging, privacy monitoring, driver analysis, cabin safety, thermal sensors, non-invasive, AI
- 生产技术
- Thermal Sense integrates a thermal sensor at the rearview mirror for wide-angle cabin coverage. Sourced with customized original equipment manufacturer specifications, the sensor detects minute thermal variations, ensuring high sensitivity for monitoring physiological parameters. Advanced convolutional neural network process thermal data, analyzing key indicators like eye closure rates and head movements. A robust real-time pipeline enhances image quality, extracts features, and provides immediate safety alerts.
- 设计挑战
- Limited availability of high-quality, low-cost thermal sensors and real-time processing technology were overcome through iterative testing and collaboration with original equipment manufactures and artificial intelligence experts.
- 研究
- Using an in-between method, we cross-compared the thermal sensor approach with traditional cameras for measuring driver behavior. Controlled experiments with 50 participants assessed drowsiness and distractions. Results showed no significant performance difference between the two methods. This demonstrates that the thermal approach is as effective as cameras while eliminating privacy concerns, making it a superior, privacy-conscious solution.
- 灵感
- Inspired by advancements in thermal imaging and the need for privacy-focused solutions, Thermal Sense addresses mandatory driver monitoring requirements without compromising identity. Research shows the efficacy of thermal sensors in detecting behavior and ensuring safety. By eliminating human-identifiable color images, it prioritizes privacy while monitoring driver attention, passenger activity, and child presence.
- 项目周期
- The project commenced in January 2023 in Shanghai, China, and was completed in October 2024. Research, development, and testing phases were conducted in collaboration with leading automotive technology innovation labs.
- 操作流程
- Thermal Sense operates seamlessly in the background, using a thermal sensor to monitor the cabin without capturing identifiable images. Installed on the rearview mirror, it detects heat patterns to identify driver drowsiness, distractions, or child presence. The system provides real-time alerts, ensuring safety without compromising privacy. Its unobtrusive design and precise detection deliver reliable results, creating a safer and more privacy-conscious driving experience.
- 专利
- Copyrights belong to Zeyuan Zhang, and Tick Design Labs (Shanghai)
- 团队成员
- Lead Designer: Zeyuan Zhang
Lead Designer: Xuechun Tao
Lead Designer: Yangyi Tai - 图片版权
- All Image: Zeyuan Zhang
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