Amazon RekognitionAmazon
|
FaceMeCyberLink
|
|||||
Related Products
|
||||||
About
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
|
About
Designed for smart surveillance, FaceMe® Security is a value-added solution that runs on PC, workstations, servers, and integrates into VMS (video management systems). It detects individuals within a crowd through their face and can identify them by matching the live capture with profiles kept in a database, even for people wearing a mask. It also displays their body temperature, detects anyone not wearing a mask properly over their nose and mouth and highlights block-listed people. It can send real-time alerts to security personnel or other people in the organization. FaceMe® Security Central compares the extracted facial templates with the database in order to confirm identity. It also provides a web-based console to manage the Microsoft SQL based face database, configure IP cameras, and inform relevant personnel about registered visitors, VIPs, block-listed people, or employees entering each monitored area.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
Organizations that want to automate their image and video analysis with machine learning.
|
Audience
Companies in need of a facial recognition solution
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/rekognition/
|
Company InformationCyberLink
Founded: 1996
Taiwan
www.cyberlink.com/faceme
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
|
|||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Computer Vision Features
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
|
||||||
Integrations
AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Web Services (AWS)
BotCore
Descope
Genetec Synergis
Orange Logic OrangeDAM
Qrvey
Quickwork
|
Integrations
AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Web Services (AWS)
BotCore
Descope
Genetec Synergis
Orange Logic OrangeDAM
Qrvey
Quickwork
|
|||||
|
|
|