Problem Solver

Ying Liu

Areas Ying Liu is Knowledgeable in:

Attrasoft has developed technology for:
(1) Count objects inside an image;
(2) Quality Control using images;
(3) Object detection within images;
(4) Single Site Reverse Image Search Engine;
(5) Object Detection in videos;
(6) Steganography;
(7) Surveillance Video Analysis.
(8) Deep Learning Software.


Attrasoft Image Recognition Software
1. Single Site Image Search Engine:
a. It allows user to search your web site using ‘images’ as the search criteria.
b. The product website is attraseek.com

2. Image Recognition:
a. Quickly identify the existence of a product image among many product images.
b. Search your hard drive using images as search criteria.
c. Customized Examples: ID wheel rims, stamps, plates, ships, healthcare products, laundry detergents, military applications, etc.
d. The product website is http://attrasoft.com/products_deeplearning.asp.

3. Object Detection within an Image:
a. Use QC images to determine good quality product vs bad quality product.
b. Customized Examples: toothbrush bristles, tire tread recognition, military
applications…

4. Video Object Detection:
a. Customized Examples: logos within a video, items within a video…
b. Visual recognition for trucks entering manufacturing facilities.
c. Match objects on video to objects in your custom database.

5. Video Search Engine allows you to:
a. Search the internet via video clips.
b. Search your hard drive via video clips.
c. Track down stolen content across a variety of video streaming "tube" sites.
d. Recognize watermarks on videos.
e. Identify digital fingerprints.
f. Customized.

6. Image Tagging:
a. Use Attrasoft deep learning software to tag images with several words (no programming).

7. Surveillance Video Analysis:
a. Quickly identify ‘activities’ on the surveillance tape;
b. Reduce viewing time by 95%.
c. Automatic cCustomization for your environment via automatic retraining.

8. Steganography:
a. Hide your important messages in images so you can store them safely and send/receive them safely.

9. Count Objects Within images

Techniques Ying Liu Uses:

Attrasoft has developed technology for:
(1) Count objects inside an image;
(2) Quality Control using images;
(3) Object detection within images;
(4) Single Site Reverse Image Search Engine;
(5) Object Detection in videos;
(6) Steganography;
(7) Surveillance Video Analysis.
(8) Deep Learning Software.


Attrasoft Image Recognition Software
1. Single Site Image Search Engine:
a. It allows user to search your web site using ‘images’ as the search criteria.
b. The product website is attraseek.com

2. Image Recognition:
a. Quickly identify the existence of a product image among many product images.
b. Search your hard drive using images as search criteria.
c. Customized Examples: ID wheel rims, stamps, plates, ships, healthcare products, laundry detergents, military applications, etc.
d. The product website is http://attrasoft.com/products_deeplearning.asp.

3. Object Detection within an Image:
a. Use QC images to determine good quality product vs bad quality product.
b. Customized Examples: toothbrush bristles, tire tread recognition, military
applications…

4. Video Object Detection:
a. Customized Examples: logos within a video, items within a video…
b. Visual recognition for trucks entering manufacturing facilities.
c. Match objects on video to objects in your custom database.

5. Video Search Engine allows you to:
a. Search the internet via video clips.
b. Search your hard drive via video clips.
c. Track down stolen content across a variety of video streaming "tube" sites.
d. Recognize watermarks on videos.
e. Identify digital fingerprints.
f. Customized.

6. Image Tagging:
a. Use Attrasoft deep learning software to tag images with several words (no programming).

7. Surveillance Video Analysis:
a. Quickly identify ‘activities’ on the surveillance tape;
b. Reduce viewing time by 95%.
c. Automatic Customization for your environment via automatic retraining.

8. Steganography:
a. Hide your important messages in images so you can store them safely and send/receive them safely.

9. Count Objects Within images

Ying Liu's Problem Solving Skills:

  1. Object detection within images
  2. Count objects inside an image using image recognition software
  3. Single Site Reverse Image Search Engine
  4. Quality Control through image recognition software
  5. Deep Learning software
  6. Image Recognition software
  7. Surveillance Video Analysis
  8. Steganography

Ying Liu's Problem Solving Experience:

  1. Case Study 2

    When Raytheon had a need to identify one object out of a large number of similar objects, Raytheon selected our search engine Attraseek (attraseek.com) for their Command, Control, Communication, Computer System and Intelligence system.
  2. Case Study 3

    When Colgate had a need to identify good toothbrushes from bad tooth brushes, Colgate selected our image software for their quality control.
  3. Case Study 1

    TNS provides market intelligence for both advertisers and publishers. The market information had been collected by brute force: TNS manual coders matched magazine advertisements, for example, against a previously established ad library. By 2004, there were more than 300 employees doing manual matching (coders) with their primary focus on automobile and political campaign ads.

    TNS held a worldwide “bakeoff” ; Attrasoft was chosen for the TNS USA division.

    TNS has deployed customized Attrasoft software into their US magazine monitoring system since 2006. Attrasoft technology is currently in large-scale deployment with emphasis on speed, accuracy, and scalability. Attrasoft technology solved two major problems for TNS: scalability and accuracy. TNS Media Intelligence was sold to WPP in 2008 for $2 billion dollars.

    “We love Attrasoft.” Peter A. Andrell III, CTO, TNS Media Intelligence.