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What is SentiSight?
SentiSight SDK is a sophisticated tool designed for developers who aim to create applications that leverage computer vision for the purpose of object recognition.
This comprehensive toolkit allows for both manual and automated object learning, providing users the ability to identify recognized objects in images sourced from a variety of devices like cameras, webcams, still images, or live video feeds, all while maintaining a user-friendly and flexible approach.
Specifically designed to enable the creation of object recognition systems, SentiSight is available as a software development kit for Microsoft Windows platforms.
To effectively utilize the SDK, users must satisfy certain system requirements, which include having either an x86 (32-bit) or x86-64 (64-bit) processor, SSE2 support (with SSSE3 support recommended), at least 256 MB of free RAM, a webcam, Microsoft .NET framework version 2.0 or newer (for integrating .NET components), Microsoft DirectX 9.0 or later (for webcam functionality), and Microsoft Visual Studio 2005 SP1 or a newer version (to develop applications in C/C++, C#, or Visual Basic .NET).
It is also crucial for users to be aware of the restrictions of the unregistered version, which is available for a trial duration of 30 days.
By fulfilling these requirements and understanding the limitations, developers can maximize the potential of SentiSight, ultimately enhancing their applications with advanced object recognition capabilities.
What is Amazon Rekognition?
Amazon Rekognition streamlines the process of incorporating image and video analysis into applications by leveraging robust, scalable deep learning technologies, which require no prior machine learning expertise from users. This advanced tool is capable of detecting a wide array of elements, including objects, people, text, scenes, and activities in both images and videos, as well as identifying inappropriate content. Additionally, it provides accurate facial analysis and search capabilities, making it suitable for various applications such as user authentication, crowd surveillance, and enhancing public safety measures.
Furthermore, the Amazon Rekognition Custom Labels feature empowers businesses to identify specific objects and scenes in images that align with their unique operational needs. For example, a company could design a model to recognize distinct machine parts on an assembly line or monitor plant health effectively. One of the standout features of Amazon Rekognition Custom Labels is its ability to manage the intricacies of model development, allowing users with no machine learning background to successfully implement this technology. This accessibility broadens the potential for diverse industries to leverage the advantages of image analysis while avoiding the steep learning curve typically linked to machine learning processes. As a result, organizations can innovate and optimize their operations with greater ease and efficiency.
Media
No images available
Integrations Supported
AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Web Services (AWS)
BotCore
Descope
Orange Logic OrangeDAM
Qrvey
Quickwork
Trendzact
Integrations Supported
AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Web Services (AWS)
BotCore
Descope
Orange Logic OrangeDAM
Qrvey
Quickwork
Trendzact
API Availability
Has API
API Availability
Has API
Pricing Information
$339.00
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Neurotechnology
Date Founded
1990
Company Location
Lithuania
Company Website
neurotechnology.com
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/rekognition/
Categories and Features
Categories and Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
Content Moderation
Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions
OCR
Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool
People Counting
API
Anonymous Counting
Benchmarking
Car Counting
Conversion Tracking
Data Export
Events Statistics
Heatmaps
Mood/Age/Gender Recognition
Motion Detection
Reporting / Analytics
Retail Counting
Staff Exclusion
WiFi Tracking
Zone / Area Monitoring
Session Replay
Eye Tracking
Form Analytics
Heatmaps
Mouse Tracking
Optimization Tools
Session Recording
Surveys
User Experience Analysis
User Feedback
Visitor Segmentation
