Wednesday, August 07, 2024

FENG-GUI Tutorials - File Input

This tutorial about file inputs and best practices for file formats, dimensions, quality, and several negative examples and how to avoid them. 
In our help page, you'll see a list of tips and practices. and in this session, we'll take a look at several examples. 

00:00 Introduction
00:38 File Names 01:07 Image and Video Dimensions 02:01 Quality and Compression 02:30 Product and Package 03:00 Website analysis 04:50 Outdoor and Indoor



* To begin with, input names, use alphanumeric characters. Otherwise, Feng-GUI will translate the file name into a unique alphanumeric characters file name. So to avoid that, just use English characters and numbers and dash and that's it. And this way, Feng-GUI will preserve your original file name.

* Dimensions, input dimensions. So you don't want the input to be too small and you don't want the input to be too high. We have the recommended input size for images and for videos. If we take a look here at an example of an image which is too small, you may see that the image is almost the size of the legend overlay that we have here. And here is an example of an image with the proper dimensions. If we compare them side by side, you can see that the results are slightly different. Avoid using too small dimensions of an image or too large. Too large will cause no negative impact, only a little bit about performance.


* Quality of the image and the video. Use only high quality and lossless compression. So don't compress your video or images too much. Otherwise you will get artifacts that are changing the image. As a result will also change the analysis report. Lossless compression, PNG and MP4 with 100% quality.

* Product and package images. You should prefer landscape and square images. And add at least 10% of blank margin around the product. In this example the product is covering the entire image, which is not so good. You should leave at least 10% of space around the product. This is a good example. this is a good example, the product has some white space around it and the analysis is better.


* A few tips about website input. We do have the upload web address but you should avoid it and just use your own snapshot that you create by yourself because it gives you more control of how the input image looks like. So some examples. So this is a good example of a web page image. You see that only the content of the web page is being analyzed and this is what you want to take a snapshot of, only the content of the web page. This is a bad example because in this example the image analyzed also contains the the toolbar and some artifacts of the browser and you don't want to analyze them. Only the content of the web page should be analyzed. 
 This is another bad example. Obviously we don't see the entire web page at once so don't take a snapshot of the entire web page and analyze it. If you want to analyze all the web page from top to bottom either take different snapshots of the page or more easy and better approach is to take a video of navigating the web page and browsing through the web page and analyze this video in Feng-GUI. This will enable you more smooth transition and also enable you to record and analyze animation if there are or videos if they are in the web page.

* Always prefer images which are landscape and horizontal because this is how we see the world and avoid analyzing pictures which are vertical and portrait because this is not how we see things. If this is what you have if that's the only image that you have so you can analyze it but if you are taking the picture outdoor or indoor so prefer taking landscape images obviously.

Saturday, June 15, 2024

AI Meets AI: Revolutionize Your Predictive Analytics with AI Insights!

Get ready to supercharge your predictive analytics experience! Feng-GUI is thrilled to introduce its latest groundbreaking feature: AI-driven interpretation and design recommendations. This innovation is set to transform the way you analyze data and optimize your design strategies, propelling your projects to unprecedented levels of success. Imagine this: You've just completed a complex analysis using Feng-GUI's state-of-the-art predictive analytics software. Now, instead of spending hours deciphering intricate data patterns and figuring out how to enhance your design, our AI assistant (that's me! I also  wrote this blog post) steps in to do the heavy lifting. Yes, you heard that right—I'm here to interpret your analysis reports and provide you with actionable design recommendations tailored to improve your results.

With this new feature, Feng-GUI is not just enhancing its software; it is revolutionizing your workflow. Here's how: Instant Interpretation, Design Recommendations, and Seamless Integration. Save time, enhance accuracy, and boost creativity. In 2007, Feng-GUI was the first to provide AI analysis, and now, it is proud to be the first to offer AI-driven interpretation and design recommendations. Dive into Feng-GUI's predictive analytics visual design software and unleash the full potential of AI-driven insights and recommendations today. The future is now—are you ready to seize it? 




Friday, January 26, 2024

Multilingual Text Detection transforming Predictive Eye Tracking Analysis!

In a major revelation from Feng-GUI, a trailblazer in predictive eye tracking analysis, a suite of cutting-edge features is set to redefine the understanding of user behavior. Feng-GUI proudly introduces Multilingual Text Detection, seamlessly integrated into a host of context-aware AI features, including facial emotions and object recognition. This comprehensive technology transcends language barriers, offering profound insights into user engagement across diverse digital landscapes. 


Enhanced Contextual Analysis Across Languages: Feng-GUI's Multilingual Text Detection, as part of other context-aware AI features, enables researchers to precisely identify and analyze textual elements in any language. This breakthrough facilitates a global understanding of user behavior, revolutionizing contextual analysis.

Global Optimization of Reading Patterns: Accurately identifying and tracking text regions in various languages, Feng-GUI's technology ensures a global optimization of reading patterns. This empowers designers to tailor content layout, font size, and formatting for enhanced readability and comprehension across linguistic backgrounds.

User Experience Enhancement for International Audiences: Feng-GUI's Multilingual Text Detection goes beyond language to create a more inclusive and personalized experience for users globally. Designers and developers can leverage these insights to craft interfaces that cater to diverse linguistic preferences.

Insights for Global Marketing and Advertising Campaigns: Feng-GUI's technology provides a unique advantage in advertising by understanding how users engage with textual content across languages. This facilitates the analysis of ad effectiveness on a global scale, offering marketers valuable insights into user attention.

Conclusion: Feng-GUI's announcement signifies a quantum leap in predictive eye tracking analysis. The integration of Multilingual Text Detection with Context-Aware AI Features promises to unlock new dimensions in understanding user behavior globally. Researchers, developers, and designers can harness this innovative suite of features to provide inclusive, personalized experiences across languages. Stay tuned as Feng-GUI continues to lead the charge in reshaping the landscape of predictive eye tracking analysis for a more interconnected and accessible digital future.