Fc100 Kamera Yozindikira Nkhope by Baidu Ai Cloud Hci Lab is a highly esteemed winner of the very prestigious 2020 Mphoto ya Chitsulo ya A' Design Award in Mapangidwe a Zipangizo Zotchingira, Zotetezera ndi Zolondera Competition Category.
ChitsuloZipangizo Zotetezera· 2020
Fc100 Kamera Yozindikira Nkhope
Client: Baidu
Mphoto ya Chitsulo ya A' Design Award Winner in Zipangizo Zotetezera Category
Verified Award Winner
Verify Award Status for #100389The Design
About Fc100 Kamera Yozindikira Nkhope
Mawu a M'buku: FC100 ndi kamera yozindikira nkhope yomwe idapangidwa kuti ithandizire chitetezo ndi kayendetsedwe ka mzinda. Kamera yozungulira ngati chubu imagwiritsa ntchito chip yapadera ya luntha lochita kupanga (artificial intelligence) pamodzi ndi ma algorithm a deep learning kuti izindikire ndi kutsata nkhope za anthu akuyenda mumagulu. Kamerayi imasankha chithunzi chomveka bwino kwambiri cha munthu kuchokera ku zithunzi zingapo zomwe zajambulidwa, ndipo imanenedwa kuti ili ndi kulondola kwa mpaka 95 peresenti. FC100 imatha kulumikizidwa ku kompyuta kapena ku network video recorder kuti zithunzi ziwonekere. M'malo ogulitsira ndi m'malo oimikapo mabasi apansi panthaka (subway stations), kamerayi imatha kuwerengera alendo mwanthawi yeniyeni kuti zithandizire pakukonzekera. Chosungiramo kamera (housing) chimapangidwa mwa njira ya injection molding ndi die casting.
The Recognition
About the Mphoto ya Chitsulo ya A' Design Award
Fc100 Kamera Yozindikira Nkhope ndi mmodzi mwa opambana a Mphoto ya Chitsulo ya A' Design Award, kuzindikirika kolemekezeka komwe kumaperekedwa kwa mapangidwe abwino omwe amakwaniritsa zofunika za akatswiri ndi za makampani zomwe zimayembekezeka kuchokera ku zolengedwa zopangidwa bwino. Opambana a Chitsulo amaonetsa luso lalikulu, ukatswiri wapamwamba, kumvetsetsa kwa akatswiri ndi mphamvu yolenga ya opanga awo. Fc100 Kamera Yozindikira Nkhope akuyembekezeka kukhala cholengedwa choyamikiridwa kwambiri, chosirira ndi chokondedwa chomwe ndi chothandiza ndi chatsopano. Mapangidwe opambana Mphoto ya Chitsulo ya A' Design Award awa amaphatikiza machitidwe abwino kwambiri a makampani ndipo ali ndi makhalidwe a ukadaulo oyenerera olumikizidwa ndi chidziwitso ndi luso. Fc100 Kamera Yozindikira Nkhope amalemekezedwa chifukwa cha kusamala kwake ndipo anapangidwa kuti apereke kukonza kwa moyo kumene kumathandiza kusandutsa dziko kukhala malo abwino.
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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