TRU Platform

There are many challenges slowing the adoption and democratisation of vision-based AI.

Recognising true value for our customers, responsibly.

TRU Recognition is a specialist Recognition Technology Platform company. According to the research organisation Cognilytica, Recognition Technologies are best described below.

"We define the recognition pattern as using machine learning and other cognitive approaches to identify and determine objects or other desired things to be identified within some form of unstructured content. This content could be images, video, audio, text, or other primarily unstructured data that needs to have some aspect within it identified, recognised, segmented, or otherwise separated out into something that can be labeled and tagged.

The primary objective of this pattern is to have machines identify and understand things within otherwise unstructured content. Recognition is a very well-developed pattern and through machine learning, computers have gotten really good at it. The recognition pattern is one of the most widely used and adopted of all AI use patterns."

Source: Cognilytica

Market challenges we address

  • Trust
  • Realising Business Value
  • Privacy & Ethics
  • Decision Support & Accuracy
  • Sustainability Impact of Al
  • Scaling Vision-Based Al
  • Delivering & Measuring Incredible Experiences
  • Deployment Complexity
  • Vendor Lock-in

TRU Recognition decision support

Composite AI recognises that no single AI technique is a cure-all. Depending on the context of a specific use case, different AI techniques or a combination of techniques, will make more sense than relying on AI as a “one-size fits all” approach.
  • Multi-Factor Recognition
  • Cumulative Confidence
  • Multi-Engine Correlation
  • Composite AI
  • AI Model Calibration
  • Business Process Optimisation
  • Optimised Video Streams for each AI Engine
  • Optimised Field of View

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

  • sdwedqwdq
  • sdwdwqdw

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

The TRU Recognition Platform= Responsible Recognition

TRU Recognition’s unique approach to responsible AI focuses on protecting the privacy of people. Access is tightly controlled by an independent Privacy function.

Level 1

TRU Face Redaction

TRU Face Redaction

Faces in a video stream are blurred or pixelated in real-time.

Level 2

TRU Body Redaction

TRU Body Redaction

Full body blurring or pixelisation.

Level 3

TRU Body Segmentation

TRU Body Segmentation

Full body segmentation and redaction (i.e. Ghosting).

Level 4

TRU Visualisation Avatars

TRU Visualisation Avatars

Provides a privacy safe environment. Avatars mimic activity. Location replica.

TRU balances privacy and insight

Contact us today!

TRU Recognition can transform your operation Contact us for further information.