Fc100 Ikhamera Yokuqonda Ubuso ngu-Baidu Ai Cloud Hci Lab

Uyilo olubizwa ngokuba yi-Fc100 Ikhamera Yokuqonda Ubuso olwenziwe ngu-Baidu Ai Cloud Hci Lab ngumwini obekekileyo webhaso elinobukhazikhazi le-2020 Ibhaso Lentsimbi le-A' Design Award Kudidi Lokhuphiswano lwe-Uyilo lweeMveliso zoKhuseleko, uKhuseleko kunye nokuGada.

IntsimbiIimveliso zoKhuseleko· 2020

Fc100 Ikhamera Yokuqonda Ubuso

ngu Baidu Ai Cloud Hci Lab

Umxhasi: Baidu

Umwini we-Ibhaso Lentsimbi le-A' Design Award Kudidi Lwe-Iimveliso zoKhuseleko

19,063

Umwini Webhaso Oqinisekisiweyo

Qinisekisa Isimo Sebhaso se-#100389

Jonga kwi-A' Design Award Uxwebhu Lweendaba Ibheji Yembasa

Imibala

Uyilo

Malunga ne-Fc100 Ikhamera Yokuqonda Ubuso

I-FC100 yikhamera yokuqonda ubuso eyilelwe ukhuseleko nolawulo lwesixeko. Le khamera enomjelo isebenzisa itshiphu ekhethekileyo yobuchule bokoqoba (artificial intelligence) kunye ne-algorithms zokufunda okunzulu (deep learning) ukubona nokulandelela ubuso kwiindibano zabantu abahambahambayo. Ikhamera ikhetha umfanekiso ocacileyo kwiziqendu zemifanekiso ethinjiweyo, inembo eziveza ubunyani obuya kutsho kwi-95 eyekhulwini. I-FC100 inokudityaniswa nekhompyutha okanye i-network video recorder ukuze kubonwe imifanekiso. Kwiimolo zorhwebo needikhi zezitishi zesubhwe, ikhamera inokubala abatyeleli ngokwexesha lokwenene ukuxhasa ucwangciso. Isikhusela sisenziwa ngenjongo yokufakwa ngokutsontsa (injection molding) nokufakwa ngokutyhidiswa (die casting).

Ukuqatshelwa

Malunga ne-Ibhaso Lentsimbi le-A' Design Award

Fc100 Ikhamera Yokuqonda Ubuso ngumphumeleli weIbhaso Lentsimbi le-A' Design Award, ukuqatshelwa okuhlonitshwayo okunikwa imiyilo elungileyo eyanelisa iimfuno zobungcali neemveliso ezilindelekileyo kwimveliso ezicwangciswe kakuhle. Abaphumeleleyo beNtsimbi babonisa ubuchule obukhulu, ubuchule obuphezulu, ukuqonda kwengcali namandla okuyila abayili babo. Fc100 Ikhamera Yokuqonda Ubuso iyathenjwa ukuba ibe yimveliso exatyiswa kakhulu, edunyiswayo nethandwayo esebenzayo neyinto entsha. Lo myilo uphumeleleyo weIbhaso Lentsimbi le-A' Design Award udibanisa iindlela ezilungileyo kakhulu zemboleko kwaye unezimpawu zobuchwephesha ezifanelekileyo ezidityaniswe nolwazi netalente. Fc100 Ikhamera Yokuqonda Ubuso iyahlonelwa ngenxa yenkcukacha yayo kwaye yacwangciselwa ukunika uphuculo lomgangatho wobomi olunceda ukwenza ihlabathi libe yindawo engcono.

Emva Koyilo

Ikhithi Yeendaba

Iziqinisekiso, amalungu eqela kunye neenkcukacha zobugcisa ezinikezelwe ngumyili.

Iimpawu Ezizodwa: 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%.
Imilinganiselo nePakishini: 129mm x 293mm x 122mm
Iithegi: Network Camera, Security Camera, Smart Camera
Ubuchwepheshe Bokuvelisa: Thanks to the mature design, the product can be manufactured through injection molding and die casting processes.
Inkuthazo: 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.
Ubude Beprojekthi: The project started in June 2019 in Beijing and finished in January 2020 in Beijing.
Ukuhamba Komsebenzi: 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.
Iipathenti: Relevant patents are being applied
Amalungu Eqela: Daiyan Liu
Hongtao Zhang
Fan Yang
Shiyan Li
LIbo Zhi
Yanyan Sun
Zhongjiang Chen
Hongbo Guo
Rui Gao