ZN-SmartEye® - Features, functions and presenting the system to clientsZN Vision Technologies AGUniversitätsstraße 16044801 BochumGermany

Phone +49 (0)234 97 87-0Fax +49 (0)234 97 87-77E-mail: info@zn-ag.com Internet: www.zn-ag.com

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Agenda Product concept, structure and features

Options and versions

Presenting the system to clients and potential buyers

Exemplary configuration, example offer

FAQs, dealing with objections

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Product concept, structure and features

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Identification solution ZN-SmartEye® – Facial and person recognition in real-time

1:n identification in non-cooperative scenarios Overall solutions comprising hard- AND software

system Real-time identification of individuals in video

sequences Facial recognition in a crowd and comparison with the

system's database Recognition process in less than 0.3 seconds Alarm function advises of the presence of a known

person Database deleted automatically after a given or

prescribed period of time.

Reference system and customer-specific category filter (e.g. VIP, employee) as well as storing additional data are possible (e.g. name, address)

Protocol function Input into the database as a direct video shot, digital

photo or digitally scanned portrait Supports common SQL databases

Description

Options:

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Airports, train stations Stadiums, major events Casinos, night clubs Supermarkets, banks

Efficient crime prevention and investigation Enhancement of security without additional personnel Combination of surveillance and protection of privacy

Biometrics is the only technology understandable for humans, system administrators can "comprehend" the pictures of faces

Permanent real-time surveillance outperforms human beings when it comes to observing complex scenarios (fatigue, stress)

Knowledge of the presence of wanted persons is continuously available, thus enabling direct action of security staff

Protection of privacy: distinction between criminals and passers-by is possible

Clients:

Performance:

Advantages:

Identification solution ZN-SmartEye® – Facial and person recognition in real-time

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The core functions of ZN-SmartEye®

A video camera records a scene at the selected location (e.g. the entrance of a building or the access to a high-security area).

Output:A positive result of the comparison (facial recognition) can be transmitted as an optical and acoustic signal. If required, this signal may be transferred to a central point.

Finding the face:The face is sought in the camera's video image.

Modelling the face:The face's characteristic features are registered and transformed into a mathematical model.

Facial recognition:The facial model of a currently registered person is compared to the facial models of all stored persons.Database

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The proceduresFinding the face

        

Where and what is the face in the video image?

The face is the area defined by eyebrows, mouth and outer eye area (cf. rectangle in the face)!See page 5-30 for the configuration of the face size recognizable for the system.The size of the rectangle on the face (not its position) must be between the small and the large white rectangle shown above.

Modelling the face

        

Registers the features characterizing a face and transforms them into a mathematical model.

The face is characterized by a person's total facial area (the graph has to be positioned on the complete face)!The facial model stored for a person in a database determines the quality of facial recognition.

Model

Facial recognition

        

The facial model of a currently registered person is compared to the facial models of all stored persons.

Quality and consistency of the facial models in the database are paramount for the result of the facial recognition. Thus one person should never be stored in the database several times.

ModelDatabase

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Options and versions

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ZN-SmartEye® Compact – the all-in-one solution

 * Information about larger systems available on request** These system modules are optional

 

System module Components Net Price in Euro

 Compact Station System administration, face capturing & recognition, representation of results, alarm

 Compact StationBoxCompact StationLicenceTerminal (screen, keyboard, mouse)CameraManual

   

€ 25,000.00

 Digital Camera**

 See accessory list

 See accessory list

 

 Printer**

 See accessory list

 See accessory list

 

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Components1. When unpacking the system you find the following components:

1) The ZN-SmartEye® engine2) The ZN-SmartEye® camera3) An 8-48 mm auto iris vario objective4) 10 m video cable RG 59 including adapter (in total: chinch plug on BNC plug)5) 10 m RS-232 D-sub9 male/female closed signal for camera control6) 15“ TFT monitor7) Mouse8) Keyboard9) Installation manual 10)User's manual11)2 Power cables

2. What you need in addition: 1) A tripod (3-legged) with an extension of 2-3 m, 2) Extension cable for power supply3) Multicontact plug

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Components

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Preconditions for successfully employing ZN-SmartEye®

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What are the preconditions for successfully employing ZN-SmartEye®?1. Include the employee representatives and the data protection commissioners

into the project phase1. Evaluate whether and in which way data protection is anchored in the

company's code of practice.2. Explain the way the system deals with data for specific and non-specific

purposes.3. Take away the fears of employee surveillance.

I. Expose the system's purpose and benefitII. Expose that

a. employees could be entered and significant recognitions of the system could be suppressed (on the desktop as well as in the protocol),

b. no employees are entered into the database and that data are recorded just like data for non-specific purposes.

c. the final decision is left to the human being, no automation due to the system

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What are the preconditions for successfully employing ZN-SmartEye®?2. Inform the client about what to expect of the product, never try to fulfil false

expectations.1. Never admit negative comparisons!2. Don't assign yes/no decisions to the system!3. Integrate ZN-SmartEye® into the client's work routine.4. Choose the correct locations and/or correct recording positions in order to

get frontal views of the face.5. Use pictures taken by the camera for person recognition.6. Plan personnel training from the very beginning.

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Choosing the location – according to preferences1. Internal, constant illumination, persons well isolated, no hidden persons

Example 1: location within a building, no or little daylight, downwards escalator – department store, train stations, airports

Example 2: cash desk scenario or metal detector scenario – discotheques, banks, airports, department stores, train stations

- no further requirements with regard to illumination for the system,- very good rates of facial detection and recognition can be achieved

2. Internal, constant illumination, persons well isolated – although persons may be hidden Example 1: location within a building, no or very little daylight, upwards

escalator – department store, train stations, airports Example 2: persons in an arcade/on a floor in a building- no further requirements with regard to illumination for the system,- good to very good rates of facial detection and recognition can be achieved

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Choosing the location – according to preferences3. Internal, considerable daylight, no direct illumination of the faces, no light

shining towards the camera, persons well isolatedExample 1: entrance halls, camera installed in the background, door not

directly visible in the picture - employ ZN‘s camera regulation.- good to very good rates of facial detection and recognition can be

achieved

4. Light shining towards the camera during daytime, dark background at night, system required to work in both scenariosExample 1: entrance surveillance at train stations, airports, casinos- Required measures:

I. Contact manufacturer to plan the installation a concept is requiredII. Draw up an illumination concept – plan expenditures

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Choosing the location – according to preferences5. Outdoor application

1. Examples: airport premises, station platforms, public places- Required measures

I. Contact manufacturer to plan the installation a concept is requiredII. Draw up an illumination concept for the camera – project

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Which data are required for recognition?1. Recommendation: It is advisable to use pictures of cameras used for the

recognition.- This guarantees good to very good facial recognition results

2. Register the faces frontally in order to achieve very good recognition rates 3. Point out the importance of database maintenance to client content of client

training.4. If no camera pictures are available for recognition, data can also be imported

(by means of scanner or printer) - however, this will affect the recognition capacity

5. Only pictures and personal ID data are required, all additional personal data are optional (also of importance with regard to data protection)

6. Recommendation: When adding a person to the database also register additional data (category, male/female etc.) providing further search criteria apart from the face.

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Presenting the system to the client

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The first step: Definition and determination of the goalDetermine the goal!It is paramount to hold a conversation determining the requirements and the

intended workingmethod / surroundings under which the facial recognition shall be employed.The following question has to be answered unambiguously:Is ZN-SmartEye® the best solution for the task or would ZN-Face® be more

suitable?1. Notes with regard to ZN-Face®:

I. A person has to be recognized with a security of 100% – not possible with ZN-SmartEye®!

II. A means of identification or an e-ticketing system already exists.III. 100% security only in case of cooperative persons console procedures

are the best solution.2. Notes with regard to ZN-SmartEye®:

I. 100% security not required, user wants to be advised if a person of interest enters the building

II. Surveillance to be carried out discreetly and inconspicuously.III. Surveillance to be integrated into existing video surveillance.

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Structure of the work screen

Video Module (empty, no signal)

Status Module

Control Module

Event Module

Datenbank

(live image)

Protocol Module

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Display of controlled area Camera status ( on / off) Name and position of camera Date and time

Video Module and Status Module

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Start / StopPause

Help

Database

Protocol

Configuration

Off

Control Module

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Standard buttons lead to intuitive operation Independence of language due to symbols Easy operation thanks to large buttons Immediate operation, no special knowledge required

Advantages of the Control Module

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Display of faces found

Most similar faces, in declining order

Previous events

Event Module

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Automatic display of the faces found Selection of the most similar persons from the database History of the latest comparisons Display of a similarity value Alarm in case of significant similarity

Advantages of the Event Module

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Display of events

Start event filtering

Indications for the event filter with regard tocamera personal ID time

Cancel event filtering

Protocol Module

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Archive containing previous events Quick access Possibility of filtering according to time and / or person Adding persons and / or images to the person database Quick sifting of video recordings

Advantages of the Protocol Module

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Reference image

Personal data Visitor categories

Database

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Additional pictures Address Documents (ID card and driving licence) Notes

Database information

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User administration Administration of visitor categories Administration of actions Database administration Adjusting an optional printer Camera administration System status Working procedures and licensing info

Configuration Module

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How to install the system1. You will need approximately half an hour to install the system.2. Choose a location for the camera where the faces are illuminated evenly,

preferably from above or from the front. Make sure that the faces appearing in the picture are- neither overexposed, - nor dark, - nor show hard shadows

3. Use a tripod to raise the camera to a height of 2 – 3 m4. Add a few pictures of yourself to the person database. 5. Ask persons who will be present at the presentation for their approval to add

them to the database.

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How to enrol persons

Event Module

Event Protocol View

click left mouse button1

Add Person/Image Dialogue

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Person Database View

Graph positions on faces unsuitable for person recognition

Graph too small

Graph too large

Graph too largeCorrect graph

   

  Graph positioned

correctly on face

 

2 Adjust graph

BASIS FOR GOOD RECOGNITION RESULTS

Add face to person database

A B

CA

Sequence of views

Sequence of steps

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How to enrol persons1. Graphs have to be positioned correctly. 2. It is advisable to store as many pictures in various positions and under different

lighting conditions as possible.3. NEVER enter one person into the database several times!

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Which features does a human being evaluate as opposed to the machine?

Feature Human MachinePoses/positions of head without frontal view of face

X

Other physical features, gestures, facial expressions, height

X

Surroundings where the person was met for the first time

X

Scenario/conditions under which the person was met for the first time

X

Voice/language/vocabulary XFrontal view of face X X

Advantages of the human being:Recognizes a person known and familiar to him even in scenarios where no frontal view of the face is available.

Disadvantage of the human being:Depends on all the stated parameters and on his experiences no objectivity, knowledge tied to one person, no recognition without experience (e.g. Chinese people)

Consequences: The number of data used by human beings to recognize a person is considerably higher. The single parameter "frontal view of the face" can be evaluated much better by amachine.

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FAQs and dealing with objections

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Which questions will the client ask?1. How reliably does the system work?

- Recognition rate of 10 to 99 %, depending on the location, illumination and the available and/or comparable pictures

- Reaction: That is not sufficient. Such an application makes no sense. I need the system to make a yes/no decision definition of the goal.

2. What are your system's FAR and FRR rates?- Up to date, no official measurements have been carried on this issue. As far

as I know, the FAR is around 5% and the FRR around 15%.3. Can the system also be used to filter out persons not contained in the

database?- No, that is not possible. (negative comparison)- Why not?

Statistic model, a differentiation between the last "hits" and the rest of the world is not possible. According to my current knowledge there is no system able to carry out such comparisons.

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Which questions will the client ask?4. How many cameras can be connected to the system?

- One camera and a terminal can be connected to ZN-SmartEye® Compact.5. How many persons can be stored as a maximum?

- As a standard, up to 10,000 persons can be stored in ZN-SmartEye® Compact.

6. In which way does a higher number of persons affect the search speed?- The search speed is hardly affected by a total number of 10,000 persons.

7. How long does it take the system to find a person?- Finding the face – i.e. deciding whether a face is in the picture or not – takes

only fractions of a second.- Facial recognition takes 1-2 seconds for one face.

8. Is the system able to detect more than one face in the picture?- Yes, the system simultaneously registers all the faces detected in the picture

and searches for them in the database sequentially .

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Which questions will the client ask?9. Why does it take so long to recognize a third person in the picture?

- This is because following the simultaneous registration of the faces in a picture, the facial recognition is carried out sequentially, i.e. when there are 5 persons in the picture, ZN-SmartEye® needs approximately 10 seconds for displaying the last result.

10. Is the system able to scan large groups of people?- Yes, this was proven by real-life and tolerance tests.

11. Why does the system not always display the recognized person on the first position?- ZN-SmartEye® makes suggestions to the viewer.ZN-SmartEye® is not able

to evaluate a presented face with the highest significance in every facial pose and under all lighting conditions. Based on the suggestions, however, the viewer is in a position to arrange the corresponding reactions.

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Pilot Installations1. Every client will inquire about a pilot installation; references will not be enough, but

he will want to try the product himself.2. This pilot phase is to be avoided as it requires plenty of personnel and

expenditures.3. Thus the following procedure is advisable:

I. Convince the client by visiting a reference clientII. Should this not be sufficient: Make an offer for the test.

a. The test must not be free of charge.b. The test always has to be accompanied by staff: No test without

supervision!c. The test should only be carried out with standard components - minimize

the risk!d. The test has to have a certain goal and it has to be defined clearly that

the client has to buy the product if this goals are achieved.e. The results are put down in writing.

III. If the first offer is refused, make a second offer which is even more expensive for the client. Force the client to return to Offer 1.

IV. If the client is only interested in a free test, refuse it. Tests should be only available for clients with a real interest.

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Data protection

1. Data protection is an extremely sensitive topic which is always an issue when it comes to biometric data. 1. Biometric data are personal data.2. New possibilities for the users are offered not by the biometric data

themselves but by centralizing such data (storage). However, this also holds certain risks.I. In Germany the generation of a centralized ID database containing

biometric data is prohibited by law.3. Best method of data protection: no storage at all4. Second best method of data protection: decentralized data storage and

surveillance of access to data 2. Personal data may only be stored if

1. they are stored for a certain purpose (definition of purpose according to BDSG [Federal German Data Protection Act]),

2. such storing is carried out with the consent of the persons concerned.

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Data protection3. However, the BDSG is only an "omnibus law". The following order

applies to legal examination of possible violations of data protection:I. Specific laws of the trade: e.g. regulations for accident prevention,

company code of practice, police laws, gambling regulations etc.II. Data Protection Acts of the Länder III. Federal Data Protection ActIV. EU guidelines

4. Important: Employee representatives as well as data protection commissioners should be involved in a project as soon as possible

5. Further information: cf. WhitePaper on Data Protection