Baidu Ai Cloud Hci Lab 的作品 Fc100 人脸识别摄像机

设计师 Baidu Ai Cloud Hci Lab 的作品 Fc100 人脸识别摄像机荣获了极具声望的 2020 A' Design Award 铁奖，竞赛类别为安防、安全与监控产品设计。

铁安防产品· 2020

Fc100 人脸识别摄像机

设计师： Baidu Ai Cloud Hci Lab

客户: Baidu

安防产品类别A' Design Award 铁奖获奖者

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验证 #100389 的获奖状态

在A' Design Award上查看新闻稿获奖徽章

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设计作品

关于 Fc100 人脸识别摄像机

FC100是一款专为安防与城市管理设计的人脸识别摄像机。该筒型摄像机采用专用人工智能芯片与深度学习算法,可对移动人群中的人脸进行检测与跟踪。摄像机会从一系列抓拍图像中优选出最清晰的人像,识别准确率据称高达95%。FC100可连接电脑或网络硬盘录像机进行查看。在商场与地铁站等场所,该摄像机能够实时统计客流量,为规划提供支持。外壳采用注塑成型与压力铸造工艺制造。

荣誉认可

关于A' Design Award 铁奖

Fc100 人脸识别摄像机是 A' Design Award 铁奖得主，这是授予满足人们对设计精良的创作所期待的专业与工业要求的优良设计的声望认可。铁奖得主展现出其创作者的高超技艺、高度专业化、专家级的理解力和创造能力。预计Fc100 人脸识别摄像机将成为一件备受推崇、令人钦佩且被珍爱的创作，既实用又创新。这件赢得 A' Design Award 铁奖的设计整合了行业最佳实践，并拥有与专业知识和才华相结合的称职技术特性。Fc100 人脸识别摄像机因其严谨而受到尊重，旨在提供有助于让世界变得更美好的生活品质改善。

设计幕后

媒体资料包

由设计师提供的致谢、团队成员及技术详情。

独特属性: FC100 series cameras are smart cameras designed by Baidu for the intelligent development of the city, helping the transition of security business from tradition into intelligence. This AI cloud Face recognition tubular camera is based on dedicated AI ASIC and multi-depth learning algorithm integration to support detect, track and select the optimal one in a series of captured portraits in dynamic crowds with a rate of up to 95%.
尺寸与包装: 129mm x 293mm x 122mm
标签: Network Camera, Security Camera, Smart Camera
生产技术: Thanks to the mature design, the product can be manufactured through injection molding and die casting processes.
灵感: The rapid development of cities has brought greater opportunities to urban smart transportation, parks and inspections. The FC100 series smart camera is not only for safety, but also for city management, smart business, and other IOT applications. It effectively solves the needs of big data systems in smart city applications for security surveillance front-end intelligence，thereby making our cities smarter, safer, and safer in a more efficient way.
项目周期: The project started in June 2019 in Beijing and finished in January 2020 in Beijing.
操作流程: This camera can be connected to a PC host and NVR for preview. It is suitable for deployment in fixed public scenes, for example, in a shopping mall scenario, the crowd traffic can be queried and counted in real time, and user behavior analysis can be performed to optimize store arrangement and advertisement push; in the subway scenario, the location and the time of the crowd can be adjusted by optimizing exit and security check points to achieve a better traffic efficiency.
专利: Relevant patents are being applied
团队成员: Daiyan Liu
Hongtao Zhang
Fan Yang
Shiyan Li
LIbo Zhi
Yanyan Sun
Zhongjiang Chen
Hongbo Guo
Rui Gao