Fc100 Khemera ea ho Hlokomela Sefahleho ka Baidu Ai Cloud Hci Lab

Moralo oa Fc100 Khemera ea ho Hlokomela Sefahleho ka Baidu Ai Cloud Hci Lab ke mohlodi oa khau e hlomphehang haholo ya 2020 Moputso oa Tšepe oa A' Design Award Mokhahleong oa Tlhodisano oa Moralo wa Dihlahiswa tsa Tshireletso, Polokeho le Ho Bea Leihlo.

TšepeDihlahiswa tsa Tshireletso· 2020

Fc100 Khemera ea ho Hlokomela Sefahleho

ka Baidu Ai Cloud Hci Lab

Moreki: Baidu

Mohlodi oa Moputso oa Tšepe oa A' Design Award Mokhahleong oa Dihlahiswa tsa Tshireletso

19,596

Mohlodi oa Khau ea Netefaditsweng

Netefatsa Boemo ba Khau bakeng sa #100389

Sheba ho A' Design Award Tokollo ya Boraditaba Baeche ya Moputso

Mebala

Moralo

Mabapi le Fc100 Khemera ea ho Hlokomela Sefahleho

FC100 ke khemera ea ho hlokomela sefahleho e etselitsoeng ts'ireletso le taolo ea toropo. Khemera ena e sebōpeho sa lepotlelo e sebelisa chip e ikhethang ea bohlale ba maiketsetso (artificial intelligence) le li-algorithm tsa deep learning ho fumana le ho latela lifahleho har'a bongata bo tsamaeang. Khemera e khetha setšoantšo se hlakileng ka ho fetisisa har'a letoto la litšoantšo tse nkiloeng, e nang le nepahalo e fihlang ho diperesente tse 95, ho ea ka tlaleho. FC100 e ka hokahanngoa le k'homphieutha kapa network video recorder (NVR) bakeng sa ho e shebella. Libakeng tsa mabenkele a maholo le liteishene tsa subway, khemera ena e ka bala baeti ka nako ea sebele ho tšehetsa moralo le tlhophiso. Sehlokoana sa khemera se hlahisoa ka mokhoa oa injection molding le die casting.

Kamohelo

Mabapi le Moputso oa Tšepe oa A' Design Award

Fc100 Khemera ea ho Hlokomela Sefahleho ke mohapi oa Moputso oa Tšepe oa A' Design Award, kananelo e hlomphehang e fuoang meralo e metle e finyellang litlhoko tsa porofeshenale le tsa indasteri tse lebelletsoeng ho lintho tse hlahisitsoeng tse entsoeng hantle. Bahapi ba Tšepe ba bontša bokhoni bo boholo, bokhethehi bo phahameng, kutloisiso ea litsebi le bokhoni ba boqapi ba baqapi ba bona. Fc100 Khemera ea ho Hlokomela Sefahleho e lebelletsoe ho ba ntho e hlahisitsoeng e hlomphuoang haholo, e ratoang le e ratehang, e sebetsang le e nang le mehopolo e mecha. Moralo ona o hapileng Moputso oa Tšepe oa A' Design Award o kenyelletsa mekhoa e metle ka ho fetesisa ea indasteri mme o na le litšobotsi tsa theknoloji tse nang le bokhoni tse amanang le tsebo le talenta. Ka lebaka la botlalo ba eona, Fc100 Khemera ea ho Hlokomela Sefahleho e tšoanelehela tlhompho mme e entsoe ho fana ka ntlafatso ea bophelo e thusang ho etsa hore lefatše le be sebaka se molemo.

Ka Mora Moralo

Sete ya Boraditaba

Litlhaku, ditho tsa sehlopha le lintlha tsa botekgeniki tse fanoeng ke moetsi wa moralo.

Boleng bo Ikhethang: 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%.
Boholo le Phuthelo: 129mm x 293mm x 122mm
Lithegi: Network Camera, Security Camera, Smart Camera
Theknoloji ya Tlhahiso: Thanks to the mature design, the product can be manufactured through injection molding and die casting processes.
Kgothaletso: 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.
Nako ya Projeke: The project started in June 2019 in Beijing and finished in January 2020 in Beijing.
Tsamaiso ya Mosebetsi: 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.
Diphatente: Relevant patents are being applied
Litho tsa Sehlopha: Daiyan Liu
Hongtao Zhang
Fan Yang
Shiyan Li
LIbo Zhi
Yanyan Sun
Zhongjiang Chen
Hongbo Guo
Rui Gao