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What is Tobii Pro Sticky?

Sticky, developed by Tobii Pro, is a groundbreaking self-service online platform that integrates survey questions with webcam-based eye tracking and emotion analysis, making it easier to conduct intricate quantitative research. This streamlined method offers a time-efficient and cost-effective way to incorporate eye tracking into studies, allowing researchers to examine large consumer panels as they engage with specific shelves, packaging, advertisements, or websites directly from their devices. In contrast to traditional face-to-face research techniques, Sticky provides extensive quantitative eye tracking and emotion analytics at a considerably lower expense. By leveraging the participant's webcam, market researchers gain valuable visual and emotional insights about the effectiveness and attractiveness of various designs, especially in packaging and advertising contexts. The platform also connects effortlessly with online survey tools and global panel providers, ensuring a smooth data collection process that yields quick results. With its innovative features, researchers can easily achieve a deep understanding of consumer behavior and preferences, leading to more informed decision-making. Additionally, this technology empowers businesses to adapt their marketing strategies based on real-time feedback from consumers.

What is Azure Face API?

Incorporate facial recognition technology into your applications to create a user-friendly and secure interface without requiring deep expertise in machine learning. This innovative solution offers capabilities such as face detection, which recognizes faces and their features in images, and individual identification from a personal database accommodating up to one million users. It also includes emotion recognition to interpret various facial expressions like happiness, anger, and fear, and the capacity to identify and group similar faces. You can perform face identification based on diverse traits and seamlessly implement facial recognition with just a single API request, whether utilizing cloud services or local containers. Emphasizing enterprise-grade security and privacy protocols, this technology enables the detection, identification, and analysis of faces in both images and videos, opening doors to a variety of groundbreaking applications. Furthermore, it allows for the simultaneous detection of multiple human faces and their respective attributes, significantly enhancing the user experience and broadening the scope of potential uses. With these advanced features, developers can create more interactive and responsive applications tailored to user needs.

Media

Media

Integrations Supported

Azure Marketplace
Orange Logic OrangeDAM

Integrations Supported

Azure Marketplace
Orange Logic OrangeDAM

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.01 per month
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

Tobii Pro

Date Founded

2001

Company Location

Sweden

Company Website

www.tobiipro.com/product-listing/sticky-by-tobii-pro/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/cognitive-services/face/#features

Categories and Features

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

Categories and Features

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

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