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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 Google Cloud Vision AI?
Utilize the capabilities of AutoML Vision or take advantage of pre-trained models from the Vision API to draw valuable insights from images stored either in the cloud or on edge devices, enabling functionalities like emotion recognition, text analysis, and beyond. Google Cloud offers two sophisticated computer vision options that harness machine learning to ensure high prediction accuracy in image evaluation. You can easily create customized machine learning models by uploading your images and utilizing AutoML Vision's user-friendly graphical interface for training and refining these models to achieve the best performance in terms of accuracy, speed, and efficiency. After achieving the desired results, these models can be exported effortlessly for deployment in cloud applications or across a range of edge devices. Furthermore, Google Cloud's Vision API provides access to powerful pre-trained machine learning models through REST and RPC APIs, allowing you to label images, classify them into millions of established categories, detect objects and faces, interpret both printed and handwritten text, and enhance your image database with detailed metadata for improved insights. This ensemble of tools not only streamlines the image analysis workflow but also equips enterprises with the means to make informed, data-driven choices more efficiently, fostering innovation and enhancing overall performance. Ultimately, by leveraging these advanced technologies, businesses can unlock new opportunities for growth and transformation within their operations.
Media
No images available
Integrations Supported
Flows
Gemini
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0
Gemini 2.0 Flash
Gemini Advanced
Gemini Enterprise
Gemini Nano
Gemini Pro
Integrations Supported
Flows
Gemini
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0
Gemini 2.0 Flash
Gemini Advanced
Gemini Enterprise
Gemini Nano
Gemini Pro
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
Date Founded
1998
Company Location
United States
Company Website
cloud.google.com/vision
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
Data Labeling
Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
OCR
Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool
Visual Search
Barcode Recognition
Catalog Management
Customer Activity Tracking
Filtering
IP Protection
Image Tagging
Mobile App
Optical Character Recognition
Product Recommendations
Product Search
Reverse Image Search
Video Search
