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What is TOCR?

Since it was launched in 2002, we have consistently refined our OCR engine, referred to as TOCR. Over the years, TOCR has evolved from an innovative software tool into a robust, scalable, and highly accurate solution embraced by numerous governmental bodies and corporate entities around the globe. With its design prioritizing seamless integration, TOCR is mainly favored by large-scale integrators in search of a thoroughly vetted solution. At the heart of Transym's mission is a dedication to delivering unmatched accuracy and reliability. In the last decade, we have significantly upgraded TOCR to provide a remarkable range of benefits for integrators. Ensuring precision in high-volume document scanning is crucial for enhancing cost-effectiveness, especially when compared to traditional manual data entry methods. Extensive research by OCR specialists at Prime Recognition in the United States reveals that a staggering 66% of all lifetime imaging costs arise from the need to rectify errors, underscoring the critical nature of accuracy in this industry. This statistic not only highlights the significance of our advanced OCR technology but also reiterates its role in assisting businesses to reduce expenses while improving operational efficiency. As we continue to innovate, we remain committed to solving the challenges faced by organizations in managing their document processing needs.

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

API Availability

Has API

Pricing Information

$40 one-time payment

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

Windows

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Transym Computer Services

Date Founded

1980

Company Location

United Kingdom

Company Website

www.transym.com

Company Facts

Organization Name

NtechLab

Date Founded

2015

Company Location

Russia

Company Website

ntechlab.com/findface-multi/

Categories and Features

Document Management

Collaboration Tools
Compliance Tracking
Document Archiving
Document Retention
File Recovery
File Type Conversion
Offline Access
Optical Character Recognition

Categories and Features

Computer Vision

Not specified

Emotion Recognition

Not specified

Facial Recognition

Not specified

Video Analytics

Not specified

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