GV-AI FR

مقایسه

Support for up to 8 channels of IP cameras
Realtime face recognition and tracking
Average recognition speed of within 1 second per face when the recognition targets are moving toward the cameras
Face Database managing up to 100,000 Face Profiles with 3 face images per profile
Face profiling by age and gender
Liveness detection for ensuring the persons recognized are not of inanimate objects, such as printed photos, during recognition
Automatic compilation of statistical graphs for the number and distribution of ages and genders of the faces recognized entering and exiting the premise
Exportable daily / weekly / monthly / yearly hourly face recognition count
Query by face recognition events
Integration of GV-VMS for video recording and playing back face recognition events
Integration of GV-ASManager for access management by paring access data to Face Profiles
Master and Slave feature for interconnecting multiple GV-AI FRs with a centralized Face Database
Support for connecting to 3rd-party controllers for access management via GV-FWC within the LAN and/or GV-COM V3 + GV-WTR by physical connection

Note :
GV-AI FR is only compatible with GV-VMS V18.1 and GV-ASManager V5.3.0 or later versions.

مشخصات فنی
تحلیل و بررسی
دانلود
نظرات

برندها:

ژئوویژن

دسته‌بندی‌ها:

ژئوویژن, مدیریت تصویر, نرم افزار آنالیز ویدئویی

ویژگی‌های محصول:

مدیریت تصویر

برچسب‌ها:

Video Management, Video Management Software, AI, Artificial intelligence, face detection, face recognition, Analytics, Video Analytics, Video Analytic

GV-AI FR is a video analytic software designed to provide Face Recognition (FR) ability for up to 8 channels of IP cameras, and can be integrated into GV-VMS, a video management software, and/or GV-ASManager, an access control system, respectively for FR-triggered video recording and/or access management. To see how GV-AI FR works, click on the picture below:

پیوست	اندازه
datasheet_ai-fr.pdf	616.79 کیلوبایت
gv-ai_fr_user_manual.pdf	5.74 مگابایت
gv-ai_fr_quickguide.pdf	5.06 مگابایت
introducing_gv-aifr.pdf	2.53 مگابایت