Fc100 Kamera za prepoznavanje obrazov by Baidu Ai Cloud Hci Lab is a highly esteemed winner of the very prestigious 2020 Železna nagrada A' Design Award in Oblikovanje varnostnih in nadzornih izdelkov Competition Category.
ŽeleznaVarnostni izdelki· 2020
Fc100 Kamera za prepoznavanje obrazov
Client: Baidu
Železna nagrada A' Design Award Winner in Varnostni izdelki Category
Verified Award Winner
Verify Award Status for #100389The Design
About Fc100 Kamera za prepoznavanje obrazov
Book Text: FC100 je kamera za prepoznavanje obrazov, zasnovana za varnost in upravljanje mest. Cevasta kamera uporablja namenski čip za umetno inteligenco in algoritme globokega učenja za zaznavanje in sledenje obrazom v gibajoči se množici ljudi. Kamera iz niza zajetih slik izbere najbolj ostro fotografijo obraza, z domnevno natančnostjo do 95 odstotkov. FC100 je mogoče povezati z računalnikom ali omrežnim video snemalnikom za pregledovanje posnetkov. V nakupovalnih središčih in na postajah podzemne železnice lahko kamera v realnem času šteje obiskovalce ter tako podpira načrtovanje. Ohišje je izdelano s postopkoma brizganja plastike in tlačnega litja.
The Recognition
About the Železna nagrada A' Design Award
Fc100 Kamera za prepoznavanje obrazov je prejemnik Železne nagrade A' Design Award, prestižnega priznanja, ki se podeljuje dobrim oblikovanjem, ki izpolnjujejo profesionalne in industrijske zahteve, pričakovane od dobro zasnovanih stvaritev. Prejemniki Železne nagrade kažejo veliko spretnost, visoko specializacijo, strokovno razumevanje in ustvarjalne zmožnosti svojih ustvarjalcev. Od Fc100 Kamera za prepoznavanje obrazov se pričakuje, da bo visoko cenjena, občudovana in ljubljena stvaritev, ki je praktična in inovativna. To oblikovanje, nagrajeno z Železno nagrado A' Design Award, vključuje najboljše prakse panoge in ima kompetentne tehnične lastnosti, povezane s strokovnim znanjem in talentom. Zaradi svoje temeljitosti si Fc100 Kamera za prepoznavanje obrazov zasluži spoštovanje in je zasnovan tako, da zagotavlja izboljšave kakovosti življenja, ki pomagajo narediti svet boljši kraj.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- 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%.
- Dimensions & Packaging
- 129mm x 293mm x 122mm
- Tags
- Network Camera, Security Camera, Smart Camera
- Production Technology
- Thanks to the mature design, the product can be manufactured through injection molding and die casting processes.
- Inspiration
- 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.
- Project Duration
- The project started in June 2019 in Beijing and finished in January 2020 in Beijing.
- Operation Flow
- 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.
- Patents
- Relevant patents are being applied
- Team Members
- Daiyan Liu
Hongtao Zhang
Fan Yang
Shiyan Li
LIbo Zhi
Yanyan Sun
Zhongjiang Chen
Hongbo Guo
Rui Gao
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