EVRM - The Evermedia Group (OTCBB Stock)

[JGygli]

EVRM Sign Contract with Department of the Army, Joint Contracting Command Iraq (JCCIA).

EVRM: The Evermedia Group Supports System Technology Solutions Entering First Option Year of Baghdad Detainee Property Warehouse and Inventory Technicians Contract Aug 4, 2009 8:00:00 AM

NEW YORK, NY -- (MARKET WIRE) -- 08/04/09 -- The Evermedia Group (PINKSHEETS: EVRM) is pleased to announce that System Technology Solutions, Inc. (STS) is situated to accept its first option year award under an existing contract with Department of the Army, Joint Contracting Command Iraq (JCCIA).

In total, The Detainee Property Warehouse and Inventory Technicians Contract will furnish $2,609,0420.93 in services. The contract consists of one base year carrying $871,238.36 and two option years.

Currently, 7 STS employees are involved, finishing performance under the base year award and preparing to extend services once JCCIA delivers the first option year. Given the exclusive contract, the first option year automatically assigns to STS should Department of the Army maintain its planned functions. If issued, the first option year award will soon surface.

The Detainee Property Warehouse (DPW) is located at Camp Cropper, Remembrance II, Baghdad where it stores the personal property of approximately 60,000 detainees. Comprised of a supervisor and 6 technicians, STS personnel are responsible for all content accountability, storage, and inventory. Under the contract, STS personnel must also determine the status of the detainees before attending to their property.

Jonathan Sym, CEO of the Evermedia Group, mentioned, "Between ****'s [Richard Weitzel] persistent success in securing opportunities and STS' talented personnel, STS deserves its reputation and strong position in government contracting space. By STS maintaining contracts like the DPW, we can stay visible and ready as more prospects develop."

STS CEO, Richard Weitzel commented on the upcoming option saying, "Depending on whether the Army and JCCIA will initiate the first option year, the contract will continue through September 9, 2010. The contract has supplied good work and revenue benefitting us and our team. We are hopeful DPW will roll into the first option year."

About System Technology Solutions

Based in San Antonio, TX, STS is a defense contractor providing engineering, logistics, IT and security services to government and large commercial enterprises. STS also provides technical design, program management and security services globally.

Safe Harbor Statement

Certain Statements in this press release constitute "forward-looking statements" within the meaning of the Private Securities Litigation Reform Act of 1995. Such forward-looking statements involve known and unknown risks, uncertainties and other factors which may cause the actual results, performance or achievements of the company to be materially different from any future results, performances or achievements express or implied by such forward-looking statements. The forward-looking statements are subject to risks and uncertainties including, without limitation, changes in levels of competition, possible loss of customers, and the company's ability to attract and retain key personnel.

Contact for additional information:
Evermedia Biometrics Corporation
Email: info@evermediabiometrics.com
Visit: Home Page

[JGygli]

Blue River and Evermedia Sign Strategic Alliance Agreement

Blue River and Evermedia Sign Strategic Alliance Agreement

NEW YORK, NY, Jul 31, 2009 (MARKETWIRE via COMTEX) -- Evermedia Biometrics Corporation, a wholly owned subsidiary of the Evermedia Group, Inc. (PINKSHEETS: EVRM), signed a strategic alliance contract with Blue River Information Technology, a Virginia-based, consulting services and hardware provider. This alliance was recently formalized to offer Evermedia additional information technology (IT) capabilities to better serve opportunities such as BOSS-U (Biometric Operational and Support Services - Unrestricted). By convening internal resources, the alliance better equips both companies to satisfy growing technology and security concerns arising in federal contracts. Blue River's current clients include the United States State Department, both the US Department of Agriculture and Treasury, UPS, FTC, the US Army and Marine Corp.
Regarding the alliance, Patrick McLaughlin, COO & Co-Managing Director, noted, "Blue River IT offers a full range of capabilities, from innovative technology integration to direct consulting on the treatment of our nation's chief security issues. We look forward to working with Evermedia's biometric security solutions in the future, and realizing our mutual success."

Likewise, Jonathan Sym, CEO of Evermedia Biometrics, expressed his enthusiasm, saying, "Although biometric enabled security applications will remain our central focus, our progress in iris recognition continually produces an abundance of peripheral knowledge and valuable clinical insight. A forward-thinking company like Blue River will use this to maintain their competitive advantage. We are anxious to provide additional IT services alongside such an established defense provider."

About Blue River
Blue River Enterprise Architecture Services

Blue River provides data storage solutions, IT consulting, sales, finance and marketing to top tier government and corporate customer bases. In addition, Blue River Information Technology resolves any project management issue by integrating their professional services providing certified engineers and architects including specialty technologies and solutions. Other professional services include standardized IT Support and program management services. Operating out of corporate headquarters and laboratory in Arlington, VA, Blue River IT keeps partnered offices in San Diego, CA, Tidewater, VA and Munich, Germany.

[JGygli]

Major Partners/Contract- All NYSE multi billion co's

1. The Naval Surface Warfare Center NSWC Dahlgren
Below is a confirmed and signed government contract that was awarded to STS of which EVRM has acquired 40% and is closing to acquire an additional 40%.
http://www.sts-corporation.net/files...-06-D-4886.pdf
Please read the attached copy of Signed & Awarded Contract.
( Max ceiling value of the contract- $13b++ )

The contract was awarded in 3 Phases and the ceiling is in the billions of dollars range:

Base Period = 24 Feb 2006 to 4 Apr 2009 for CLINs 1000-3999
Award Term 1 = 5 Apr 2009 to 4 Apr 2014 for CLINs 4000-6999
Award Term 2 = 5 Apr 2014 to 4 Apr 2016 for CLINs 7000-9999


2. NYSE: SXE - Stanley Associates Leading provider of systems integration and professional services | Stanley, Inc.
((( SXE is currently trading at : $30.47)))
10 year multiple contract- Max ceiling value $50b
Stanley (SXE) Stock Message Board
The 10-year multiple award/indefinite-delivery, indefinite-quantity (MA/IDIQ) Alliant contract carries a $50 billion ceiling for all awardees; it includes a five-year base and one five-year option period. With its emphasis on integrated Information Technology (IT) solutions, Alliant enables Federal and Department of Defense agencies alike with streamlined access to a broad range of management and technical support services.

The Alliant contract is one of the largest, if not the largest, federal contract ever awarded, and Stanley is a top 100 federal contractor.

Latest press release(With Stanley): The Evermedia Group Congratulates System Technology Solutions for Securing Subcontract With a Leading Provider of Systems Integration Services - Yahoo! Finance

3. NYSE:HP - HP/EDS EDS Home: Business Process Outsourcing, IT Outsourcing and Application Services | eds.com
((( HP is currently trading at : $33.42)))
Max ceiling value of the BOSS-U contract is $497m
The Evermedia Group, Inc. Announces Teaming Agreement Between Evermedia Biometrics Corporation and a Leading Global Technology Services Provider - Yahoo! Finance

4. NYSE: CACI Welcome to CACI
((( CACI is currently trading at : $45.21)))


5. Blue River Information Technology Blue River Enterprise Architecture Services
Blue River and Evermedia Sign Strategic Alliance Agreement - Yahoo! Finance
EVRM formed a strategic alliance with Blue River IT, to support BOSS-U contract. (Refer Item#3 above or details)
Blue River IT Clients Clients
Blue River IT Contracts Procurement Contracts

6. PKI Institute: The Peter Kiewit Institute

7. EVRM Patent Technology Details
(see following posts)

EVRM Share Structure (No Change & Current as of 07/31/2009)

O/S: 589,815,837
Restricted:271,233,158
Float: 318,582,679 ( Much is held by insiders, float is very tight)

[JGygli]

EVRM Patent has claimed the following(38 Items)- This is what What EDS and HP liked about EVRM Patent:

1. A method of processing an image of an eye, the method comprising: providing data representing an image of an eye comprising an image of an iris of the eye, the iris image being defined between inner and outer boundaries, the eye image comprising a plurality of pixels, the eye image data comprising location information and image information for each pixel of the eye image; providing location information of the inner boundary of the iris image, wherein a first inner boundary pixel and a second inner boundary pixel are located at different points on the inner boundary; finding a first outer boundary pixel located on a first imaginary line extending from the first inner boundary pixel, wherein a pixel located on the first imaginary line is determined to be the first outer boundary pixel when the difference of the image information between the pixel and its neighboring pixel which are located on the first imaginary line becomes the maximum among differences of the image information between two neighboring pixels located on the first imaginary line; finding a second outer boundary pixel located on a second imaginary line extending from the second inner boundary pixel, wherein a pixel located on the second imaginary line is determined to be the second outer boundary pixel when the difference of the image information between the pixel and its neighboring pixel which are located on the second imaginary line becomes the maximum among differences of the image information between two neighboring pixels located on the second imaginary line; and using at least one of the first outer boundary pixel and the second outer boundary pixel for further processing.

2. The method of claim 1, wherein the location information of the inner boundary is obtained with use of a Canny edge detection method.

3. The method of claim 1, further comprising: obtaining data of a substantial portion, but not all, of the iris image; and processing the data of the substantial portion to obtain an iris pattern.

4. The method of claim 3, wherein the data comprises the location information and the image information of a pixel within the portion.

5. The method of claim 3, wherein the substantial portion of the iris image is from about 25% to about 95% of an area of the iris image.

6. The method of claim 3, wherein the substantial portion of the iris image is from about 40% to about 85% of an area of the iris image.

7. The method of claim 3, wherein the substantial portion of the iris image is from about 50% to about 75% of an area of the iris image.

8. The method of claim 3, wherein the substantial portion of the iris image is from about 55% to about 65% of an area of the iris image.

9. The method of claim 3, wherein the substantial portion of the iris image is substantially annular.

10. The method of claim 3, wherein the substantial portion is substantially annular and defined from the inner boundary to an imaginary closed line between the inner and outer boundaries.

11. The method of claim 10, wherein the imaginary closed line is substantially parallel to the inner boundary.

12. The method of claim 11, wherein a tangent at a point on the inner boundary is substantially parallel to a tangent at a point on the imaginary closed line that is on a line perpendicular to the tangent at the point on the inner boundary.

13. The method of claim 3, wherein the substantial portion is substantially annular and defined from an imaginary closed line between the inner and outer boundaries to the outer boundary.

14. The method of claim 13, wherein the imaginary closed line is substantially parallel to the outer boundary.

15. The method of claim 3, wherein the substantial portion is substantially annular and defined between a first imaginary closed line and a second imaginary closed line, wherein the first imaginary closed line is drawn between the inner and outer boundaries, and wherein the second imaginary closed line is drawn between the first imaginary closed line and the outer boundary.

16. The method of claim 15, wherein the first and second imaginary closed lines are substantially parallel to each other.

17. The method of claim 3, wherein the substantial portion of the iris image is not annular.

18. The method of claim 3, wherein the data of the substantial portion is transformed into a polar coordinate form.

19. A device for processing an image of an eye, comprising: means for providing data representing an image of an eye comprising an image of an iris of the eye, the iris image being defined between inner and outer boundaries, the eye image comprising a plurality of pixels, the eye image data comprising location information and image information for each pixel of the eye image; means for providing location information of the inner boundary of the iris image, wherein a first inner boundary pixel and a second inner boundary pixel are located at different points on the inner boundary; means for finding a first outer boundary pixel located on a first imaginary line extending from the first inner boundary pixel, wherein a pixel located on the first imaginary line is determined to be the first outer boundary pixel when the difference of the image information between the pixel and its neighboring pixel which are located on the first imaginary line becomes the maximum among differences of the image information between two neighboring pixels located on the first imaginary line; means for finding a second outer boundary pixel located on a second imaginary line extending from the second inner boundary pixel, wherein a pixel located on the second imaginary line is determined to be the second outer boundary pixel when the difference of the image information between the pixel and its neighboring pixel which are located on the second imaginary line becomes the maximum among differences of the image information between two neighboring pixels located on the second imaginary line; means for obtaining data of a substantial portion, but not all, of the iris image; and means for processing the data of the substantial portion to obtain an iris pattern.

20. An eye image processing system, comprising: a first circuit configured to process the method of claim 1 and configured to identify data of the iris image from the image of the eye; and a second circuit configured to process the iris image data so as to obtain data of a substantial portion, but not all, of the iris image for further processing.

21. The system of claim 20, wherein the first and second circuits are integrated in a circuit board or a chip.

22. The system of claim 20, further comprising a third circuit configured to process the data of the substantial portion of the iris image so as to determine whether the data of the iris image matches a pre-registered data.

23. The method of claim 1, further comprising: obtaining data of the iris image; and producing at least one modified iris image data with use of the data of the iris image, the modified iris image data representing an iris image that is rotated by an angle about a point on the iris image.

24. The method of claim 23, wherein the point of rotation is located at a substantially central position of the image of the iris.

25. The method of claim 23, further comprising processing the iris image data to determine whether the iris image data matches a pre-registered iris image data.

26. The method of claim 23, further comprising processing the modified iris image data to determine whether the modified iris image data matches a pre-registered iris image data.

27. The method of claim 23, wherein the modified iris image data represents an iris image that is rotated in a clockwise direction.

28. The method of claim 23, wherein the modified iris image data represents an iris image that is rotated in a counter-clockwise direction.

29. The method of claim 23, wherein a plurality of modified iris image data are produced.

30. The method of claim 23, wherein the modified iris image data is processed in accordance with a wavelet transform method.

31. The method of claim 23, wherein the original iris image data is processed in accordance with a wavelet transform method.

32. An eye image processing system, comprising: means for providing data representing an image of an eye comprising an image of an iris of the eye, the iris image being defined between inner and outer boundaries, the eye image comprising a plurality of pixels, the eye image data comprising location information and image information for each pixel of the eye image; means for providing location information of the inner boundary of the iris image, wherein a first inner boundary pixel and a second inner boundary pixel are located at different points on the inner boundary; means for finding a first outer boundary pixel located on a first imaginary line extending from the first inner boundary pixel, wherein a pixel located on the first imaginary line is determined to be the first outer boundary pixel when the difference of the image information between the pixel and its neighboring pixel which are located on the first imaginary line becomes the maximum among differences of the image information between two neighboring pixels located on the first imaginary line; means for finding a second outer boundary pixel located on a second imaginary line extending from the second inner boundary pixel, wherein a pixel located on the second imaginary line is determined to be the second outer boundary pixel when the difference of the image information between the pixel and its neighboring pixel which are located on the second imaginary line becomes the maximum among differences of the image information between two neighboring pixels located on the second imaginary line; means for identifying data of the iris image; and means for producing at least one modified iris image data based on the data of the iris image, the modified iris image data representing an iris image that is rotated by an angle about a point on the image.

33. The device of claim 32, further comprising: means for determining whether the modified iris image data matches a pre-registered data.

34. An eye image processing system, comprising: a first circuit configured to process the method of claim 1 and configured to identify data of the iris image from the image of the eye; and a second circuit configured to process the iris image data so as to produce at least one modified iris image data based on the data of the original iris image, the modified iris image data representing an iris image that is rotated by an angle about a point on the original image.

35. The system of claim 34, further comprising: a third circuit configured to process the modified iris image data to determine whether the modified iris image data matches a pre-registered data.

36. The method of claim 1, wherein a third inner boundary pixel is located at a different point on the inner boundary from the points on the inner boundary where the first inner boundary pixel and the second inner boundary pixel are located, and wherein the method further comprises finding a third outer boundary pixel located on a third imaginary line extending from the third inner boundary pixel, wherein a pixel located on the third imaginary line is determined to be the third outer boundary pixel when the difference of the image information between the pixel and its neighboring pixel which are located on the third imaginary line becomes the maximum among differences of the image information between two neighboring pixels located on the third imaginary line.

37. The method of claim 36, wherein the outer boundary is determined to be a generally circular line on which the first, second and third outer boundary pixels located.

38. The method of claim 36, wherein a fourth inner boundary pixel is located at a different point on the inner boundary from the points on the inner boundary where the first, second and third inner boundary pixels are located, and wherein the method further comprises finding a fourth outer boundary pixel located on a fourth imaginary line extending from the fourth inner boundary pixel, wherein a pixel located on the fourth imaginary line is determined to be the fourth outer boundary pixel when the difference of the image information between the pixel and its neighboring pixel which are located on the fourth imaginary line becomes the maximum among differences of the image information between two neighboring pixels located on the fourth imaginary line, wherein the first imaginary line is substantially perpendicular to the third and fourth imaginary lines, and wherein the second imaginary line is substantially perpendicular to the third and fourth imaginary lines.

[JGygli]

SUMMARY OF EVRM INVENTION:

One aspect of the present invention is to provides a method of detecting an outer boundary of an iris from an image of an eye. The method comprises: providing data representing an image of an eye comprising an image of the iris of the eye, the iris image being substantially annular and defined between inner and outer boundaries, the eye image comprising a plurality of pixels, the eye image data comprising location information and image information for each pixel of the eye image; providing location information of the inner boundary of the iris image; comparing the image information of a pixel on the inner boundary with the image information of pixels of the eye image; and determining a pixel is on the outer boundary of the iris image when a difference between the image information of that pixel and the image information of the pixel on the inner boundary becomes a maximum among differences of the image information. In the above-described method, the location information of the inner boundary is obtained with use of a Canny edge detection method.

Another aspect of the present invention provides a method of obtaining an iris pattern. The method comprises: providing an image of an iris of an eye, the iris image being substantially annular and defined between inner and outer boundaries; obtaining data of a substantial portion, but not all, of the iris image; and processing the data of the substantial portion to obtain an iris pattern. In the above-described method, the data comprises positional information and image information of a point within the portion. The substantial portion of the iris image is from about 25% to about 95% of an area of the iris image. The substantial portion of the iris image is from about 40% to about 85% of an area of the iris image. The substantial portion of the iris image is from about 50% to about 75% of an area of the iris image. The substantial portion of the iris image is from about 55% to about 65% of an area of the iris image. The substantial portion of the iris image is substantially annular. The substantial portion is annular and defined from the inner boundary to an imaginary closed line between the inner and outer boundaries. The imaginary closed line is substantially parallel to the inner boundary.

Still in the above-described method, a tangent at a point on the inner boundary is substantially parallel to a tangent at a point on the imaginary line that is on a line perpendicular to the tangent at the point on the inner boundary. The substantial portion is annular and defined from an imaginary closed line between the inner and outer boundaries to the outer boundary. The imaginary closed line is substantially parallel to the outer boundary. The substantial portion is annular and defined between a first imaginary closed line and a second imaginary closed line, wherein the first imaginary line is drawn between the inner and outer boundaries, and wherein the second imaginary line is drawn between the first imaginary line and the outer boundary. The first and second lines are substantially parallel to each other. The substantial portion of the iris image is not annular. The data of the substantial portion is transformed into a polar coordinate form.

A further aspect of the present invention provides a device for use with a iris pattern recognition system. The method comprises: means for providing an image of an iris of an eye, the iris image being substantially annular and defined between inner and outer boundaries; means for obtaining data of a substantial portion, but not all, of the iris image; and means for processing the data of the substantial portion to obtain an iris pattern. In the above-described device, an iris image processing device comprises: an input device configured to receive an image of an eye comprising an image of an iris of an eye, the iris image being substantially annular and defined between inner and outer boundaries; a first circuit configured to identify data of the iris image from the image of the eye; and a second circuit configured to process the iris image data so as to obtain data of a substantial portion, but not all, of the iris image for further processing. The first and second circuits are integrated in a circuit board or a chip.

The other aspect of the present invention is a security system using iris pattern recognition. The system comprises: an input device configured to receive an image of an eye comprising an image of an iris of an eye, the iris image being substantially annular and defined between inner and outer boundaries; a first circuit configured to identify data of the iris image from the image of the eye; a second circuit configured to process the iris image data so as to obtain data of a substantial portion, but not all, of the iris image for further processing; and a third circuit configured to process the data of the substantial portion of the iris image so as to determine whether the data of the iris image matches a pre-registered data.

A further aspect of the present invention is a method of processing a iris image. The method comprises: providing data of an original image of an iris; and producing at least one modified iris image data with use of the data of the original iris image, the modified iris image data representing an iris image that is rotated by an angle about a point on the original image. In the above-described method the point of rotation is located at a substantially central position of the original image of the iris. The original iris image data to determine whether the original iris image data matches a pre-registered iris image data. The modified iris image data to determine whether the modified iris image data matches a pre-registered iris image data. The modified iris image data represents an iris image that is rotated in a clockwise direction. The modified iris image data represents an iris image that is rotated in a counter-clockwise direction. A plurality of modified iris image data are produced. The modified iris image data is processed in accordance with a wavelet transform method. The original iris image data is processed in accordance with a wavelet transform method.

Still another aspect of the present invention provides an iris image processing device, which comprises: means for providing data of an original image of an iris; and means for producing at least one modified iris image data based on the data of the original iris image, the modified iris image data representing an iris image that is rotated by an angle about a point on the original image. The above-described device further comprises: means for determining whether the modified iris image data matches a pre-registered data.

Still another aspect of the present invention provides an iris image processing device, which comprises: an input device configured to receive an image of an eye comprising an image of an iris of an eye; a first circuit configured to identify data of the iris image from the image of the eye; and a second circuit configured to process the iris image data so as to produce at least one modified iris image data based on the data of the original iris image, the modified iris image data representing an iris image that is rotated by an angle about a point on the original image.

Still further aspect of the present invention provides a security system using iris pattern recognition, which comprises: the above-described iris image processing device; and a third circuit configured to process the modified iris image data to determine whether the modified iris image data matches a pre-registered data.

The present invention is conceived to solve the above problems. An object of the present invention is to provide a non-contact type human iris recognition method for performing a pre-processing by detecting an iris image from an eye image of a user acquired by image acquisition equipment and converting the iris image into an iris image in polar coordinates, wherein inner and outer boundaries of an iris of the user are detected by analyzing differences in pixels of a Canny edge detector and the image.

Another object of the present invention is to provide a human iris recognition method, wherein if an iris in an acquired eye image has been rotated at an arbitrary angle with respect to a centerline of the iris, i.e. in case of a rotated iris image, the rotated iris image is corrected into a normal iris image, and wherein if a lower portion of a converted iris image in the polar coordinates is curved with an irregular shape, i.e. in case of a slanted iris image, the iris image is normalized in predetermined dimensions, so that the iris image with a variety of deformation is processed into data on a correct iris image so as to markedly reduce a false acceptance rate and a false rejection rate.

In order to achieve the objects of the present invention, the present invention provides a non-contact type human iris recognition method by correction of a rotated iris image for performing a pre-processing by acquiring an eye image of a user by means of image acquisition equipment using an infrared illuminator, by extracting an iris image from the acquired user's eye image, and by converting the extracted iris image into an iris image in polar coordinates. The pre-processing comprises the steps of detecting an inner boundary of an iris from the acquired user's eye image by means of a Canny edge detector; comparing a pixel value of image information at a beginning coordinates (x, y) of the detected inner boundary of the iris with the other pixel values of image information while proceeding upward and downward and leftward and rightward from the inner boundary, finding out the maximum value among values of difference in the compared pixels, and detecting an outer boundary of the iris; and extracting an iris region existing between the inner and outer boundaries, and converting the extracted iris region into the iris image in the polar coordinates.

If the iris in the acquired eye image has been slanted, the method may further comprise a step of normalizing the converted iris image in the polar coordinates so as to have predetermined dimensions.

If the iris in the acquired eye image has been rotated at an arbitrary angle with respect to a centerline of the iris, the method may further comprise the steps of temporarily generating a plurality of arrays of the iris image by means of shifts by an arbitrary angle with respect to an array of the converted iris image in the polar coordinates; performing wavelet transform in order to generate characteristic vectors of the iris corresponding to the plurality of arrays of the iris image that have been temporarily generated; comparing the respective characteristic vectors generated by the wavelet transform with previously registered characteristic vectors to obtain similarities; and accepting a characteristic vector corresponding to the maximum similarity among the obtained similarities as the characteristic vector of the user.

[JGygli]

Here's an awesome post put together by Stervc from another board. Most who know of him, know that he does some nice DD!

Here's Why EVRM Wants STS...

STS will be a very solid acquisition for EVRM. They already own 40 percent.

STS is a legitimate Service Disabled, Veteran Owned Small Business (SDVOSB). For those who are not aware of this, this is huge. STS CEO is Mr. E. Richard (****) Weitzel, II. Here is the STS website:
System Technology Solutions, Inc.

************************************************** *********

To further add…

President Barack Obama's upcoming fiscal year budget guarantees $28 billion to support the U.S. Small Business Administration (SBA) for loan guarantees:
http://www.sba.gov/idc/groups/public...ease_09-13.pdf

By law, SBA Service Disabled, Veteran Owned Small Businesses (SDVOSB) are entitled to get not less than 3% of that $28 billion from the Federal Government that is going to be allocated from President Obama’s program to support disabled veteran-owned small businesses on a yearly basis as indicated in the link below:
Small Business Administration - Goaling Program

3% of $28 billion = $840,000,000 Funds Allocated to SDVOSB

With EVRM acquiring 40% and shortly 80% in STS, this means that they will have huge portions of Revenues from contracts allocated towards the company’s financials. This is one reason why acquiring STS is in the best interest of EVRM.

Again, by law, per the U.S. Department of State, it is mandatory that EVRM (via STS) will receive some contracts as governed by the Veteran's Benefit Act of 2003:
PNOL
http://www.acq.osd.mil/osbp/policy/pl108-183.pdf

Something that is even larger that I think investors still are not aware of is that under Section 308 of Public Law under the Veteran's Benefit Act of 2003, a Contracting Officer may award sole source contracts to a Service Disabled, Veteran Owned Small Business:
PNOL

You can also go here under the Library of Congress to read about Section 308:
Search Results - THOMAS (Library of Congress)

I think it’s just a matter of time before investors really see that EVRM acquiring STS is very huge. So understand below when the EVRM CEO, Jonathan Sym, stated in an earlier PR…

From an earlier PR:
http://finance.yahoo.com/news/The-Ev...-15213326.html
…"Since last year, STS's revenues have experienced significant growth. They have won key contracts and task orders as well as joining several teams with Fortune 1000 companies. I think by the end of 2010, STS can possibly exceed $10,000,000 in revenues." …

From a following PR:
The Evermedia Group Finalizes Agreement to Acquire Equity Stake in Defense Contracting Company - Yahoo! Finance
"...We are also revising our initial revenue estimates as we predict much greater opportunities in FY 2010. Details on this and other development are forthcoming."

This means that much have closed as they expect much more than $10,000,000 in Revenues as from what was previously projected. I think that a few major things have since transpired since then. IMHO

I think it’s safe to believe that STS was and still is a multi-million dollar Defense Contracting Company. The SDVOSB is only one facet of how EVRM & STS have already obtained and will be obtaining more contracts.

Important to note that I think is also being overlooked is that STS is only in addition to the other growth that I think will be revealed from EVRM separately maturing. EVRM is going to prove to be a complete and very solid Defense Contracting Company. Its news to date confirms for me what we have here with EVRM and what we will be having in the future. I think we are Golden here with EVRM.

v/r
Sterling

[JGygli]

DOD Common Access Cards program i.e CAC: Common Access Card is a huge initiative http://www.cac.mil/assets/pdfs/HSPD_12.pdf

EVRM is working with Nations ID
(Evermedia Biometrics Completes Joint Venture Agreement With Nations ID - Yahoo! Finance ) which is already working with Department Of Homeland Security. Their solution is designed to meet Department of Homeland Security (DHS) and Customs and Border Protection (CBP) expectations. Their Solutions are vetted through and tested by DHS/CBP.

Refer Nations ID for more details.

[JGygli]

People talking about a small gap to .045, hope not!

EVRM ~ video chart 08.05.09 by Edward Stevenson

An update to the last video chart crafted a few trading sessions back: as the market corrected itself, it held above several key supporting levels, $0.03, $0.02, respectfully. Longer term investors will continue to see strength in the trend as long as the price holds critical support and continues to tackle resistance on above average volume.

Link to video chart: Timeless Wealth - Video chart lesson on Evermedia Group, Inc. (EVRM)

[KittyCat]

I bought into this one a few weeks ago. Its a great stock.

[KittyCat]

Getting ready to jump up again. No one in this one except me?