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What is NEC NeoFace Watch?

The rise in security threats on both international and national levels is increasingly affecting businesses as well. In light of potential border dangers, governments are enforcing thorough assessments of security measures at airports, seaports, and public transport hubs. Independent evaluations reveal that NEC’s NeoFace technology offers exceptional accuracy in face matching and remains effective despite changes due to aging and different pose angles. By merging facial recognition with video analytics, NeoFace Watch greatly reduces security vulnerabilities. This solution functions as a web-based thin client, designed with a user-friendly interface that is discreet and does not require manual operation from users. Moreover, it can be easily customized and integrated with existing systems and workflows. NeoFace Watch can manage multiple camera feeds at once, efficiently processing and matching thousands of faces every minute, which significantly bolsters overall security protocols. As a result, this cutting-edge technology marks a major leap forward in the realm of proactive security measures. It not only enhances safety but also streamlines the operational efficiency of security teams.

What is FindFace?

The NtechLab platform specializes in video content analysis, effectively recognizing human faces, bodies, actions, vehicles, and license plates with remarkable accuracy. It employs cutting-edge AI technology to deliver unparalleled speed and precision, establishing a new benchmark in recognition features. The FindFace Multi system further improves these capabilities by providing multi-object recognition and analytical tools that are especially useful for public sector initiatives as well as diverse business requirements. This innovation allows for fast and accurate identification of faces, human figures, cars, and license plates within both live video streams and recorded footage. Users have the ability to sift through databases or archives using not only image samples but also unique attributes like age, clothing color, or type of vehicle. The dedicated NtechLab team is consistently enhancing these recognition algorithms to increase their efficiency and accuracy. With FindFace Multi, the entire procedure of detecting a face in real-time video, recognizing it, and retrieving a matching entry from a large database can be completed in less than one second, which proves to be an essential resource for immediate surveillance and analysis. Additionally, this rapid response feature empowers users to take swift action based on the information obtained, thereby improving both security measures and operational productivity. Overall, the platform stands as a testament to the advancements in AI technology and its applications in modern surveillance systems.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

NEC

Date Founded

1899

Company Location

Japan

Company Website

www.nec.com/en/global/solutions/biometrics/face/neofacewatch.html

Company Facts

Organization Name

NtechLab

Date Founded

2015

Company Location

Russia

Company Website

ntechlab.com/findface-multi/

Categories and 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

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