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Description
Transform outdated ad testing methods by harnessing genuine engagement in real-world scenarios. We capture attention and emotions instantly, adapting to the rapid pace of online interactions. Our offerings include comprehensive science, innovative tools, and a robust platform designed to swiftly establish, assess, and react to human behaviors efficiently and affordably. By delving deep into both the subconscious and conscious aspects that drive behavior, we enhance our ability to predict, make informed decisions, and foster meaningful interactions. Our dedicated team, composed of experts in science, technology, and design, is driven by a passion for empowering everyday devices to observe and analyze how individuals navigate their lives. Utilizing a consent-based platform, we ensure that these devices can securely gather insights on the emotional, memory, and cognitive factors influencing human behavior during digital interactions. Over the course of seven years, we've amassed 2.5 billion data points across 89 countries and collaborated with 40 businesses, leading to the development of a unique solution that continuously monitors and interprets the impact of our digital experiences on human behavior, ultimately refining our understanding and approach. This continuous refinement positions us to better address the evolving needs and responses of individuals in a digital landscape.
Description
The NtechLab platform is designed to analyze video content, identifying human faces, bodies, actions, vehicles, and license plates with impressive precision. Utilizing advanced AI technology, it achieves exceptional speed and accuracy, setting new standards for recognition capabilities. The FindFace Multi system enhances this by offering multi-object recognition and analytical features, which are particularly beneficial for both public sector applications and various business needs. This technology enables swift and precise identification of faces, human forms, cars, and license plates in real-time video feeds or archived footage. Users can search through databases or archives not only by image samples but also by distinctive characteristics such as age, clothing color, or vehicle type. The dedicated team at NtechLab is continually refining these recognition algorithms to boost their effectiveness and precision further. With FindFace Multi, the process of detecting a face in live video, recognizing it, and finding a corresponding match in a vast database can be accomplished in under a second, making it an invaluable tool for real-time surveillance and analysis. Furthermore, this rapid response capability ensures that users can act promptly on the information gathered, enhancing security and operational efficiency.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
$2,014.10 per user
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Element Human
Founded
2013
Country
United Kingdom
Website
www.elementhuman.com
Vendor Details
Company Name
NtechLab
Founded
2015
Country
Russia
Website
ntechlab.com/findface-multi/
Product Features
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions
Product Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions