Fc100 Yuzni tanish kamerasi by Baidu Ai Cloud Hci Lab

Fc100 Yuzni tanish kamerasi by Baidu Ai Cloud Hci Lab is a highly esteemed winner of the very prestigious 2020 A' Design Award Temir Mukofoti in Xavfsizlik, Himoya va Kuzatuv Mahsulotlari Dizayni Competition Category.

TemirXavfsizlik Mahsulotlari· 2020

Fc100 Yuzni tanish kamerasi

by Baidu Ai Cloud Hci Lab

Client: Baidu

A' Design Award Temir Mukofoti Winner in Xavfsizlik Mahsulotlari Category

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Verified Award Winner

Verify Award Status for #100389

View at A' Design Award Press Release Award Badge

Colors

The Design

About Fc100 Yuzni tanish kamerasi

FC100 — xavfsizlik va shahar boshqaruvi uchun mo'ljallangan yuzni tanish kamerasidir. Naycha shaklidagi kamera harakatlanuvchi olomon ichidan yuzlarni aniqlash va kuzatish uchun maxsus sun'iy intellekt chipi va chuqur o'rganish algoritmlaridan foydalanadi. Kamera olingan tasvirlar seriyasidan eng aniq portretni tanlab oladi, bunda aniqlik darajasi 95 foizgacha yetadi. FC100 kompyuter yoki tarmoqli video registrator (NVR) bilan ulanib, ko'rish imkonini beradi. Savdo markazlari va metro bekatlarida kamera tashrif buyuruvchilarni real vaqt rejimida sanab, rejalashtirish jarayonini qo'llab-quvvatlaydi. Korpus in'yeksion quyish va bosim ostida quyish usullari orqali ishlab chiqariladi.

The Recognition

About the A' Design Award Temir Mukofoti

Fc100 Yuzni tanish kamerasi A' Design Award Temir Mukofotining g‘olibi bo‘lib, bu yaxshi loyihalangan ijodlardan kutiladigan kasbiy va sanoat talablariga javob beradigan yaxshi dizaynlarga beriladigan nufuzli e’tirofdir. Temir g‘oliblari o‘z yaratuvchilarining katta mahorati, yuksak ixtisosligi, mutaxassis tushunchasi va ijodiy salohiyatini namoyon etadi. Fc100 Yuzni tanish kamerasi yuqori qadrlanadigan, hayrat bilan qaraladigan va suyukli, amaliy hamda innovatsion ijod bo‘lishi kutiladi. A' Design Award Temir Mukofotini qo‘lga kiritgan ushbu dizayn soha eng yaxshi amaliyotlarini uyg‘unlashtiradi va bilim hamda iste’dod bilan bog‘langan layoqatli texnik xususiyatlarga ega. Fc100 Yuzni tanish kamerasi puxtaligi uchun hurmatga sazovor bo‘lib, dunyoni yaxshiroq joyga aylantirishga yordam beradigan hayot sifatini yaxshilashni taqdim etish uchun loyihalangan.

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