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features
design
support

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Write a Review

Description

Amazon Rekognition simplifies the integration of image and video analysis into applications by utilizing reliable, highly scalable deep learning technology that doesn’t necessitate any machine learning knowledge from users. This powerful tool allows for the identification of various elements such as objects, individuals, text, scenes, and activities within images and videos, alongside the capability to flag inappropriate content. Moreover, Amazon Rekognition excels in delivering precise facial analysis and search functions, which can be employed for diverse applications including user authentication, crowd monitoring, and enhancing public safety. Additionally, with the feature known as Amazon Rekognition Custom Labels, businesses can pinpoint specific objects and scenes in images tailored to their operational requirements. For instance, one could create a model designed to recognize particular machine components on a production line or to monitor the health of plants. The beauty of Amazon Rekognition Custom Labels lies in its ability to handle the complexities of model development, ensuring that users need not possess any background in machine learning to effectively utilize this technology. This makes it an accessible tool for a wide range of industries looking to harness the power of image analysis without the steep learning curve typically associated with machine learning.

Description

Unlock significant insights through the precise identification of objects within images and videos. AI technology can enhance value in numerous ways, from monitoring individuals in real-time at various events to ensuring products are correctly positioned on store shelves. By categorizing image objects into pertinent segments, comprehensive analyses can be performed. For instance, insurers can utilize AI algorithms to evaluate damage to homes and vehicles, leading to more precise claims for policyholders. This technology offers immediate insights that facilitate timely decision-making when it is most critical. AI algorithms also support real-time processing for a wide range of applications, including facial recognition. Additionally, understanding customer behavior becomes more feasible by analyzing their actions from video feeds, both inside retail environments and during live events. This capability allows businesses to better understand how customers engage with their products and brands, ultimately improving overall experiences. Moreover, AI-driven analytics on satellite imagery can be employed to monitor traffic conditions in real-time, evaluate parking lot usage, and categorize building structures more effectively. This multifaceted approach illustrates the diverse potential applications of AI in various industries.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS AI Services Yes 
AWS App Mesh Yes 
Amazon Augmented AI (A2I) Yes 
Amazon Web Services (AWS) Yes 
BotCore Yes 
Descope Yes 
Orange Logic OrangeDAM Yes 
Qrvey Yes 
Quickwork Yes 
Trendzact Yes 
Unremot Yes 
Visionati Yes 
n8n Yes 

Integrations

AWS AI Services No 
AWS App Mesh No 
Amazon Augmented AI (A2I) No 
Amazon Web Services (AWS) No 
BotCore No 
Descope No 
Orange Logic OrangeDAM No 
Qrvey No 
Quickwork No 
Trendzact No 
Unremot No 
Visionati No 
n8n No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/rekognition/

Vendor Details

Company Name

Fractal

Country

United States

Website

fractal.ai/image-video-analytics/

Product Features

Computer Vision

Blob Detection & Analysis Yes 
Building Tools Yes 
Image Processing Yes 
Multiple Image Type Support Yes 
Reporting / Analytics Integration Yes 
Smart Camera Integration Yes 

Content Moderation

Artificial Intelligence No 
Audio Moderation No 
Brand Moderation No 
Comment Moderation No 
Customizable Filters No 
Image Moderation No 
Moderation by Humans No 
Reporting / Analytics No 
Social Media Moderation No 
User-Generated Content (UGC) Moderation No 
Video Moderation No 

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Emotion Recognition

Facial Emotions No 
Facial Expression Analysis No 
Machine Learning No 
Photo Emotions No 
Speech Emotions No 
Video Emotions No 
Written Text Emotions No 

OCR

Batch Processing No 
Convert to PDF No 
ID Scanning No 
Image Pre-processing No 
Indexing No 
Metadata Extraction No 
Multi-Language No 
Multiple Output Formats No 
Text Editor No 
Zone Selection Tool No 

People Counting

API No 
Anonymous Counting No 
Benchmarking No 
Car Counting No 
Conversion Tracking No 
Data Export No 
Events Statistics No 
Heatmaps No 
Mood/Age/Gender Recognition No 
Motion Detection No 
Reporting / Analytics No 
Retail Counting No 
Staff Exclusion No 
WiFi Tracking No 
Zone / Area Monitoring No 

Session Replay

Eye Tracking No 
Form Analytics No 
Heatmaps No 
Mouse Tracking No 
Optimization Tools No 
Session Recording No 
Surveys No 
User Experience Analysis No 
User Feedback No 
Visitor Segmentation No 

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Computer Vision

Blob Detection & Analysis No 
Building Tools No 
Image Processing No 
Multiple Image Type Support No 
Reporting / Analytics Integration No 
Smart Camera Integration No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Predictive Analytics

AI / Machine Learning No 
Benchmarking No 
Data Blending No 
Data Mining No 
Demand Forecasting No 
For Education No 
For Healthcare No 
Modeling & Simulation No 
Sentiment Analysis No 

Revenue Management

Competitor Analysis No 
Dynamic Pricing No 
For Airlines No 
For Hospitality Industry No 
Forecasting No 
Inventory Control No 
Price Optimization No 
Recommendation Engine No 
Yield Management No 

Text Mining

Boolean Queries No 
Document Filtering No 
Graphical Data Presentation No 
Language Detection No 
Predictive Modeling No 
Sentiment Analysis No 
Summarization No 
Tagging No 
Taxonomy Classification No 
Text Analysis No 
Topic Clustering No 

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