FogBan™

Operate With Clarity

Endoscope Anti-Fog Device

Vector

Biometrics

Introducing vector-based biometric analytics,
the biometric file is not stored in a database;
it is stored as a database

Robotic

Automation

Full Factory Automation
WITHOUT
the need for
PROGRAMMING

/

FogBan™ The Anti-Fog Surgical Accessory

FogBan™ is a compact (>50 mm) sterile USP surgical accessory device. It coats endoscope lenses in less than 5 sec with an undistorted, 99% transparent, lasting (>3 hrs), bio-compatible, pH neutral anti-fog thin gel.
FogBan Promo 2 FogBan Promo 1
1.

Step 1.

Open the ClearEndoscope™ surgical accessory device and remove the seal from the vial containing KnoxFog™ the anti-fog gel.

2.

Step 2.

Insert endoscope into the vial to apply KnoxFog™ the anti-fog gel.

3.

Step 3.

Carefully remove and allow it to dry for five seconds That is it, you are ready to operate.

Full Factory Automation

Produce higher quality goods locally for the same price as imports
CO-VID 19
A.

Benefit

Set aside the obvious fact that “full automation” is a technical achievement that delivers numerous benefits, the huge benefactor is carbon reduction/elimination.

B.

Quality

Completely scalable quality from perfect to one of a kind custom manufacturing. With custom capabilities we open up “custom automated manufacturing” to the consumer.

C.

Safety

Some types of manufacturing can be dirty, dangerous, hazardous, and monotonous. These are ideal conditions for “integrated automation” to complete the task.

Unified Biometric Integration

One technology to secure all three financial transaction platforms
Biometric
OB

On-Board

The integration of "BioVectric" into mobile devices, safe-guards against theft of the users biometrics while securing and insuring a valid financial transaction.

OL

On-Line

With "BioVectric", users benefit from being able to conduct biometric secure online banking, web portal access and automated online financial transactions.

OC

On-Card

Our smart card chip solution “BioVectric” features an advanced vector process that increases biometric accuracy and delivers a 100% card cost reduction.

Target Market

Credit card fraud is an alarming trend, quickly out-pacing available solutions

The focus is the prevention of $30 Billion dollars in annual global losses due to financial fraud and growing. Research conducted by payments software vendor ACI Worldwide confirms that a quarter of the world's consumers were victimized by card fraud in the past five years, and financial institutions are losing customers as a result. The study also found that 63% of fraud victims reduced their use of cards; 55% of victims of identity theft were "very concerned" about reclaiming their financial identity; and more than 1 in 10 experienced fraud multiple times over the past five years. Nearly one-fifth of the respondents lacked confidence that their financial institution could protect them against fraud.

The Impact BioVectric would have on Global Fraud Losses

Card Fraud Worldwide (Source: The Nilson Report 10 17 2016)

Competitive Analysis

The only similarity the 2 biometrics share, is the purpose of user authentication

The comparison between the market standard approach to biometric extraction and processing and our vector-based technology comes down to the method we employ when processing the sensor data. The current method utilizes a number processes including; filters, transforms and other programs related to image processing. These processes attempt to enhance the original sensor data, but by doing so they lose much of the actual biometric detail. Our new vector-based biometric algorithm “BioVectric” preserves all the detail captured from the sensor data and translates that to a vector-based format. The new vector biometric file produces a more accurate authentication with a much higher signal-to-noise ratio.

A comparison between current biometrics and our Vector-Based solution; BioVectric

BioVectric Biometric Description
Yes Yes Biometric Verification – Authenticating a users' identity by-the-way of comparing his biometric to a stored biometric template
Yes No Eliminates Transforms – Accurate detailed translation of the biometric data without filters/transforms/modifications distorting the original data
Yes No Vector Processing / Conversion – Direct from sensor or convert existing raster data
Yes No Increased Signal-to-Noise Ratio – The translation to vector removes virtually all the noise leaving a precise signal/data
Yes No Enhanced Accuracy – The clean detailed vector data produces a more accurate biometric template for verification
Yes No The Users Biometric File – The users’ biometric data is not processed and stored as a container file, the file is a DATABASE
Yes No Large Volume Verification Processing – Vector-based hierarchical structure for quick accessing and authentication
Yes No Elimination of Smart Card MCU – Vector algorithm requires no MCU for on-card processing
Yes No Safeguards Users Biometric – User biometric data stored in an unhackable state

To date, many of the Fortune 50 Companies have spent Billions attempting to engineer accurate vector translations from sensor data; aside from us, this goal has yet to be realized.