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TAMAM, ANLIYORUM

HANWHA AI Camera Metadata Plug-in

For improved search result of Hanwha AI camera's events(people/faces/vehicles/license plate)

Güncelleme 11 Mart 2021 Perşembe
AI Camera Plug-in is used to register the AI analysis events (people/faces/vehicles/license plates) analyzed by the AI camera to Milestone System as an official event in order to search the AI analysis events. AI Camera Plug-in provides only the AI event search feature.
Milestone Onaylı
En fazla < 100
What is needed

Kaynak Hanwha Techwin Co., Ltd.

  • HANWHA AI CAMERA METADATA PLUG-IN
Version 1.0.0.01

Kaynak Milestone Systems

  • Milestone XProtect
XProtect Corporate 2019 R3 or Higher
XProtect Expert 2019 R3 or Higher
The system requirements for AI Camera Plug-in are as follows:
• Operating System ( for Client workstation )
- Microsoft Windows 10 (64-bit) or higher
• Recommended PC Specifications
- CPU: Intel Core i7-7700 @ 3.40 GHz
- RAM: 16 GB
- HDD: 60 GB or more, SDD
• Milestone System Version
- Milestone 2019 R3 or higher
• Milestone System License Level
- Expert, Corporate
Overview
How it works
How to install
Overview

HANWHA AI Camera Metadata Plug-in - For improved search result of Hanwha AI camera's events(people/faces/vehicles/license plate)

AI Camera Plug-in is used to register the AI analysis events (people/faces/vehicles/license plates) analyzed by the AI camera to Milestone System as an official event in order to search the AI analysis events.

The Search tab of Milestone XProtect Smart Client provides additional menu items when it is used with AI Camera Plug-in.
And then user can search the recorded video by filtering AI events.

Key features

  • Human Search Feature Searches events in which people are recognized. Searches events in which people are recognized with properties.
  • Face Search Feature Searches events in which faces are recognized. Searches events in which faces are recognized with properties.
  • Vehicle Search Feature Searches events in which vehicles are recognized. Searches events in which vehicles are recognized with properties.
  • License Plates Search Feature Searches events in which license plates are recognized. In case of License Plates Search, there is no property at all.

Area of practice

Detection / Deterrence
How it works

How to install

Documentation

This is where you can find additional documentation

Milestone Onaylı Read verification

Installers

Here you can find more information about installers and installation guides

Specification

Required Hanwha Techwin Co., Ltd. product(s)
The system requirements for AI Camera Plug-in are as follows: • Operating System ( for Client workstation ) - Microsoft Windows 10 (64-bit) or higher • Recommended PC Specifications - CPU: Intel Core i7-7700 @ 3.40 GHz - RAM: 16 GB - HDD: 60 GB or more, SDD • Milestone System Version - Milestone 2019 R3 or higher • Milestone System License Level - Expert, Corporate Attention: Milestone 2019 R3 or higher and the Expert, Corporate level license are required.

Has proven compatibility with the following Milestone versions:

  • XProtect
    Corporate
    2020 R1, 02.11 2020
  • XProtect
    Expert
    2020 R1, 02.11 2020

Is also expected to work with:

  • XProtect
    Corporate
    2019 R3, 10.08 2019 ve sonrası
  • XProtect
    Expert
    2019 R3, 10.08 2019 ve sonrası

Country availability

Your location is: Birleşik Devletler

  • AFRİCA
    • Angola
    • Batı Sahra
    • Benin
    • Botsvana
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    • Burundi
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  • EUROPE
    • Almanya
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    • Finlandiya
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    • Slovenya
    • Türkiye
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  • NORTH AMERİCA
    • Bermuda
    • Birleşik Devletler
    • Dominik Cumhuriyeti
    • Grönland
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    • Kosta Rika
    • Meksika
  • OCEANİA
    • Amerikan Samoa
    • Avustralya
    • Fransız Polinezyası
    • Guam
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    • Yeni Zelanda
  • SOUTH AMERİCA
    • Anguilla
    • Antigua ve Barbuda
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    • Barbados
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    • Dominika
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    • Martinique
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    • Panama
    • Paraguay
    • Peru
    • Surinam
    • Şili
    • Trinidad ve Tobago
    • Uruguay
    • Venezuela
    • Virgin Adaları, İngiliz
    • Virgin Adaları, US

Language versions available

Türkçe

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Thank you! You might also want to explore this:
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