Saturday, January 25, 2020

Sharing is Caring - Share and Compare

Sharing is Caring !
Two new actions welcome 2020. Share and Compare.

Share action enables you to copy a link to the reports and share it externally with your colleagues and clients.

Compare action enables you to compare several reports in a single view.
Select few images from the gallery using the CTRL button and click Compare.

Sunday, December 22, 2019

Machine Vision mashup Just Dance and Fortnite into one dance game

GeekCon makers' conference is a place where anything can and should happen. its a place for geek dreams to come true.

At Feng-GUI, we love reshaping the box and see how machine vision can be applied to more interactive implementations.
So, We've created a Just Dance game with Fortnite dances and emotes

Saturday, November 16, 2019

Feng-GUI 7.2 Release Notes

Feng-GUI 7.2 release notes
16 November 2019

  • web - renew SSL certification with higher 2048 key. 
  • web - added faq page at
  • dashboard - Upload > Image(s) 
    Support uploading up to 10 files at once.
  • dashboard - Settings > Billing > Billing information
    Added credit card information, billing cycle and Remove Credit card.
  • dashboard - Settings has new look. left navigation bar.
  • dashboard - UI - Preventing form resubmission of upload and analysis.
  • dashboard - UI - Preserve selected image and folder between analysis.
  • Reports - AOI - Add AOI text to report.
  • Reports - AOI - Fixations - sort by 'Time to first fixation' asc.
  • Reports - visual features - refine avarage values from highest value in AOI to avarage value in AOI.
  • email - Updated emails format.
  • email - Send subscription information email.

Wednesday, August 28, 2019

Feng-GUI 7.0.1 release notes

Feng-GUI 7.0.1 release notes

* added a 6th image at the dashboard. the original image. making it easy to drag and drop images.
* new core with new face detection, video support and visual features metrics.
* fix - fgcore fail if AOI is without a name.
* fix - the above error was not logged in database or log file. have that logged.
* dashboard - selecting a new image (javascript) clears the red label error.
* face detection dramatically improved.
* analysis is 4x faster
* upload and download are 10x faster
* dashboard - more tooltips
* menu - removed menu item "reports interpetations".
* order - form blocked for few failed or success transactions.
* fixed web snapshot hang.
* app - fixed top navbar.
* change legends watermarks - remove the number of participants.
* upload a new fgcore to support the new visual features and recommendations.
* change pagination from 32 to 100.
* change thumbnail height from 64 to 96
* Remove the toolbar. 

Tuesday, June 11, 2019

Feng-GUI v7 - Turn Visual Data into Actionable Insights

Get Actionable Insights on Visual Features.
What color catches more attention in the visual scene ?
Should you increase brightness or induce darkness ?

Where is the best place to locate the logo and the tag line?
Dashboard v7 - turn visual data into actionable insights.

Monday, March 25, 2019

Feng-GUI - AI for Digital Marketing Agents

Using AI to Double the Conversion Rates for Your Clients in 45 minutes.

* Intro 00:00
* Case Studies 00:29
* Experts Testimonials 02:23
* Who is this for? 03:15
* The Core Concept 04:36
* About Feng-GUI 04:59
* Fact 1: Attention is The New Currency 05:59
* Fact 2: NeuroMarketing in modern market Research 07:35
* Fact 3: AI to Scale Your Business 09:15
* Key Points Summary 11:40
* Option 1 - The Hard Way 11:58
* Option 2 - Working with Feng-GUI 12:24
* This is For 12:35
* Customer Testimonials 12:50
* Quick and Dirty Benefits 14:50
* Feng-GUI Dashboard 15:30
* Feng-GUI Features 16:32
* Price Plans and Summary 18:45

Friday, March 08, 2019

Terms and Conditions - March 2019 Update

In an effort to continually improve our experience with you, our customer, 
we have implemented some updates to our terms and policies.
In order to support more types of payment processing, we were requested to make few adjustments to the Terms and Conditions. ( ) 
The requirement was to arrange in a single agreement the terms of service, purchase, cancellation, payment details privacy and service reliability.
We take our responsibilities to our customers seriously and value transparency in our interactions, 
so we’ve put together this summary of the more significant changes to our terms and policies. 

Here are some key highlights of the changes we have made:

  • "Language of the Terms" section was removed and replaced with "Charges and Cancellation".
  • "4.1 providing the service." updated
    Feng-GUI will provide the Services as described on the Order Form, and standard updates to the Services that are made generally available by Feng-GUI during the term. Feng-GUI may, in its sole discretion, discontinue the Services or modify the features of the Services from time to time without prior notice.
  • "7.4 Payment processing" added.
    Payment processing services enable to process payments by credit card, bank transfer or other means. To ensure greater security, Feng-GUI shares only the information necessary to execute the transaction with the financial intermediaries handling the transaction.

Monday, January 07, 2019

Feng-GUI dashboard walkthrough by Vandenbusken

During the IDN Creative & Strategic Forum in Lisbon, IDN Netherlands' Vandenbusken held a special IDN How-to/webinar about Feng-GUI, the digital eye-tracking tool that simulates human vision and predicts where viewers will focus their attention on your design. If you missed it, let us explain how the clever idea works.

Saturday, September 01, 2018

AVON Cosmetics and SalesBrain predictive eye tracking

Feng-GUI predictive eye tracking is a powerful tool to understand the neurobiological basis of visual processing.

"AVON Central Europe used predictive eye tracking and NeuroMap to assess the final spread advertising of an oil hair care product. We have performed many training workshops and studies for AVON worldwide, most involving the use of predictive eye tracking (PET) data to help executives become more effective at creating and deploying ads.
We have taught numerous teams of product managers, designers, and marketers how to interpret PET maps using NeuroMap™. Obviously, performing a true eye tracking (TET) study with real subjects would yield more accurate data. However, the cost and time it takes to perform true eye tracking studies is an issue when you produce a huge volume of ads each month. "

Dr. Christophe Morin | CEO, Chief Pain Officer

read the case study at

Tuesday, June 26, 2018

MIT Benchmark puts Feng-GUI at the Forefront of Innovative Design

Massachusetts Institute of Technology (MIT), the best university of technology in the world, has reviewed the accuracy of Feng-GUI attention algorithm as part of its Saliency Benchmark.

Feng-GUI scores 83% similarity to predicted eye-tracking at the MIT CAT2000 test.
The baseline of the test is how humans predicts eye-tracking of other humans, and their score is 90%.
Using this scale, puts Feng-GUI at the score of 92% similarity to real eye-tracking.

The CAT2000 benchmark results page.

About the benchmark
"Saliency modeling has been an active research area in computer vision for about two decades.
Existing state of the art models perform very well in predicting where people look in natural scenes.
There is, however, the risk that these models may have been overfitting themselves to available small scale biased datasets, thus trapping the progress in a local minimum.
To gain a deeper insight regarding current issues in saliency modeling and to better gauge progress, we recorded eye movements of 120 observers while they freely viewed a large number of naturalistic and artificial images.
Our stimuli includes 4000 images; 200 from each of 20 categories covering different types of scenes such as Cartoons, Art, Objects, Low resolution images, Indoor, Outdoor, Jumbled, Random, and Line drawings.
We analyze some basic properties of this dataset and compare some successful models.
We believe that our dataset opens new challenges for the next generation of saliency models and helps conduct behavioral studies on bottom-up visual attention."

Ali Borji, Laurent Itti.
CAT2000: A Large Scale Fixation Dataset for Boosting Saliency Research
[CVPR 2015 workshop on "Future of Datasets"]

Tilke Judd, Fredo Durand, Antonio Torralba.
A Benchmark of Computational Models of Saliency to Predict Human Fixations [MIT tech report 2012]