Baidu Ai Cloud Hci Lab 嘅作品 Fc100 人臉識別攝影機

由設計師 Baidu Ai Cloud Hci Lab 創作嘅 Fc100 人臉識別攝影機係備受推崇嘅 2020 A' Design Award 鐵獎得獎作品，獲獎類別為保安產品設計。

鐵保安產品· 2020

Fc100 人臉識別攝影機

由 Baidu Ai Cloud Hci Lab

客戶: Baidu

保安產品類別嘅 A' Design Award 鐵獎得獎者

19,596

經驗證嘅獲獎者

驗證設計 #100389 嘅獲獎狀態

喺 A' Design Award 查看新聞稿獎項徽章

色彩

設計

關於 Fc100 人臉識別攝影機

FC100係一款專為安全防護同城市管理而設計嘅人臉識別攝影機。呢款筒身攝影機採用專用人工智能晶片同深度學習演算法，可以喺流動嘅人群中偵測同追蹤人臉。攝影機會由一系列拍攝到嘅影像入面，揀選出最清晰嘅人像，據報準確率高達95%。FC100可以連接電腦或者網絡影像錄影機（NVR）作瀏覽用途。喺商場同地鐵站入面，呢部攝影機仲可以實時統計人流量，為規劃管理提供支援。外殼採用注塑同壓鑄工藝製造。

榮譽認可

關於A' Design Award 鐵獎

Fc100 人臉識別攝影機是 A' Design Award 鐵獎得主，這是授予滿足人們對設計精良的創作所期待的專業與工業要求的優良設計的聲望認可。鐵獎得主展現出其創作者的高超技藝、高度專業化、專家級的理解力和創造能力。預計Fc100 人臉識別攝影機將成為一件備受推崇、令人欽佩且被珍愛的創作，既實用又創新。這件贏得 A' Design Award 鐵獎的設計整合了行業最佳實踐，並擁有與專業知識和才華相結合的稱職技術特性。Fc100 人臉識別攝影機因其嚴謹而受到尊重，旨在提供有助於讓世界變得更美好的生活品質改善。

設計背後

新聞資料包

由設計師提供嘅製作人員名單、團隊成員同技術詳情。

獨特屬性: 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%.
尺寸同包裝: 129mm x 293mm x 122mm
標籤: Network Camera, Security Camera, Smart Camera
生產技術: Thanks to the mature design, the product can be manufactured through injection molding and die casting processes.
靈感: 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.
項目時長: 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.
專利: Relevant patents are being applied
團隊成員: Daiyan Liu
Hongtao Zhang
Fan Yang
Shiyan Li
LIbo Zhi
Yanyan Sun
Zhongjiang Chen
Hongbo Guo
Rui Gao