Image & Video identification, visual search software for Quality Control, Product ID, Tag-less ID, website image search engine, and video surveillance

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What We Do

1. Single Site Image Search Engine:

a. It allows user to search your website using �images� as the search criteria.
b. The product website is attraseek.com

Demo

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.

Demo

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�

Demo

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.

Demo

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).

Demo

7. Surveillance Video Analysis:

a. Quickly identify �activities� on the surveillance tape;
b. Reduce viewing time by 95%.
c. Increase identification rate for your environment via automatic retraining.

Demo

8. Steganography:

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

Demo

Who Needs Attrasoft?

Market Pain

Searching for images and videos with Keywords covers only 5% of the total images and videos (IDC Whitepaper).
Searching for Information with Keywords sometimes yields too many matches.
Employees cannot memorize large amounts of images (in the order of 1000); image identification in such cases takes a long time and will have many errors.
Some images, when described by keywords, will yield millions of results, producing low relevancy.
Some images cannot be accurately described by keywords.
Some images can be difficult to describe via keywords; for example, 70,000 car wheel rims styles, 2000 car doors styles, . . .
Some images can be mislabeled (human error or intentionall).
Keyword search does not group images well in search results (similar images are separated by many images).
Automated image search to locate engineering drawings, graphs, architectural designs, maps, document images, logos, etc. are required in many applications.
Government / Law Firms need an automated search to identify Patent drawings / trademarks and more.
Assigning keywords to images can be labor intensive and expensive.
Both image index search and image direct search are required.
Etc.