DEMOS

 LPR Demo of RSA Customised Plates. zip (3 MB)

 LPR TRAP (ZIP 3 MB)

 LPR SA DEMO (1 MB)

 SPEED DETERMINATION DEMO (2 MB)

SeeLane Install V6.1

Mobile LPR Player

DEMOS

 LPR Demo of RSA Customised Plates. zip (3 MB)

 LPR TRAP (ZIP 3 MB)

 LPR SA DEMO (1 MB)

 SPEED DETERMINATION DEMO (2 MB)

SeeLane Install V6.1

Mobile LPR Player

 

Automated License Plate Recognition (ALPR) for Law Enforcement

KZN gets high-tech speed cameras

High Tech Crime Fighting

New speed monitoring system tested

Road Block LPR Solutions

               1         Definitions

Active Impostor Acceptance  -             When an impostor submits a modified simulated or reproduced biometric sample, intentionally attempting to relate it to another person who is an enrolee, and he/she is incorrectly identified or verified by a biometric system as being that enrolee. Compare with ‘Passive Impostor Acceptance’.

Algorithm - A sequence of instructions that tell a biometric system how to solve a particular problem.  An algorithm will have a finite number of steps and is typically used by the biometric engine to compute whether a biometric sample and template are a match. See also ‘Artificial Neural Network’.

Attempt - The submission of a biometric sample to a biometric system for identification or verification. A biometric system may allow more than one attempt to identify or verify.

Authentication - Alternative term for ‘Verification’.

Automatic ID/Auto ID - An umbrella term for any biometric system or other security technology that uses automatic means to check identity. This applies to both one-to-one verification and one-to-many identification.

Behavioural Biometric - A biometric, which is characterised by a behavioural trait that is learnt and acquired over time, rather than a physiological characteristic. However, physiological elements may influence the monitored behaviour.

Biometric - A measurable, physical characteristic or personal behavioural trait used to recognise the identity, or verify the claimed identity, of an enrolee.

Biometric Application - The use to which a biometric system is put.

Biometric Data - The information extracted from the biometric sample and used either to build a reference template (template data) or to compare against a previously created reference template (comparison data).

Biometric Engine - The software element of the biometric system, which processes biometric data during the stages of enrolment, capture, extraction and comparison.

Biometric Device - The part of a biometric system containing the sensor that captures a biometric sample from an individual.

Biometric Sample - Raw data representing a biometric characteristic of an end-user as captured by a biometric system (for example the image of a fingerprint).

Capture - The method of taking a biometric sample from the end user.

Comparison - The process of comparing a biometric sample with a previously stored reference template or templates. See also ‘One-To-Many’ and ‘One-To-One’.

Claim of Identity - When a biometric sample is submitted to a biometric system to verify a claimed identity.

Claimant - A person submitting a biometric sample for verification or identification whilst claiming a legitimate or false identity.

Database - Any storage of biometric templates and related end user information. Even if only one biometric template or record is stored, the database will simply be “a database of one”. Generally speaking, however, a database will contain a number of biometric records.

End User - A person who interacts with a biometric system to enrol or have his/her identity checked.

Encryption - The act of converting biometric data into a code so that is it unable to be read. A key is used to decrypt (decode) the encrypted biometric data.

Enrolee  - A person who has a biometric reference template on file.

Enrolment - The process of collecting biometric samples from a person, subsequent preparation and storage of biometric reference templates.

Enrolment Time - The time period a person must spend to have his/her biometric reference template successfully created.

Equal Error Rate - The error rate occurring when the decision threshold of a system is set so that the proportion of false rejections will be approximately equal to the proportion of false acceptances.

Extraction - The process of converting a captured biometric sample into biometric data so that it can be compared to a reference template.

Failure to Acquire - Failure of a biometric system to capture and extract biometric data (comparison data).

Failure to Acquire Rate - The frequency of a failure to acquire.

Failure to Enrol - Failure of the biometric system to form a proper enrolment template for an end-user. The failure may be due to failure to capture the biometric sample or failure to extract template data (of sufficient quality).

Failure to Enrol Rate - The proportion of the population of end-users failing to complete enrolment

False Acceptance - When a biometric system incorrectly identifies an individual or incorrectly verifies an impostor against a claimed identity.

False Acceptance Rate/FAR - The probability that a biometric system will incorrectly identify an individual or will fail to reject an impostor. The rate given normally assumes passive impostor attempts. The False Accept Rate may be estimated as FAR = NFA / NIIA or  FAR = NFA / NIVA where

            FAR                  is the false acceptance rate

NFA                  is the number of false acceptances

NIIA                  is the number of impostor identification attempts

NIVA                 is the number of impostor verification attempts

False Rejection - When a biometric system fails to identify an enrolee or fails to verify the legitimate claimed identity of an enrolee.

False Rejection Rate/FRR - The probability that a biometric system will fail to identify an enrolee, or verify the legitimate claimed identity of an enrolee. The False Rejection Rate may be estimated as follows:

FRR = NFR / NEIA or FRR = NFR / NEVA where

FRR                  is the false rejection rate

NFR                  is the number of false rejections

NEIA                 is the number of enrolee identification attempts

NEVA               is the number of enrolee verification attempts

This estimate assumes that the enrolee identification/verification attempts are representative of those for the whole population of end-users. The False Rejection Rate normally excludes ‘Failure to Acquire’ errors

Field Test / Field Trial - A trial of a biometric application in ‘real-world’ as opposed to laboratory conditions.

Filtering - The process of classifying biometric data according to information that is unrelated to the biometric data itself. This may involve filtering by sex, age, hair colour or other distinguishing factors, and including this information in the database .

Goats - Biometric system end users whose pattern of activity when interfacing with the system varies beyond the specified range allowed by the system, and who consequently may be falsely rejected by the system.

Identification/Identify - The one-to-many process of comparing a submitted biometric sample against all of the biometric reference templates on file to determine whether it matches any of the templates and, if so, the identity of the enrolee whose template was matched. The biometric system using the one-to-many approach is seeking to find an identity amongst a database rather than verify a claimed identity. Contrast with ‘Verification’.

Impostor - A person who submits a biometric sample in either an intentional or inadvertent attempt to pass him/herself off as another person who is an enrolee.

Live Capture - The process of capturing a biometric sample by an interaction between an end user and a biometric system.

Match/Matching - The process of comparing a biometric sample against a previously stored template and scoring the level of similarity. An accept or reject decision is then based upon whether this score exceeds the given threshold.

Multiple Biometric - A biometric system that includes more than one biometric system or biometric technology.

Neural Net/Neural Network - One particular type of algorithm. An artificial neural network uses artificial intelligence to learn by past experience and compute whether a biometric sample and template are a match.

Performance Criteria - Pre-determined criteria established to evaluate the performance of the biometric system under test.

Physical/Physiological Biometric - A biometric which is characterised by a physical characteristic rather than a behavioural trait. However, behavioural elements may influence the biometric sample captured.

Population - The set of end-users for the application.

Recognition - The preferred term is ‘Identification’.

Record - The template and other information about the end-user (e.g. banned)

Response Time - The time period for a biometric system to return a decision on identification or verification of a biometric sample.

Score - The level of similarity from comparing a biometric sample against a previously stored template.

Template/Reference Template - Data, which represents the biometric measurement of an enrolee, used by a biometric system for comparison against subsequently submitted biometric samples.

Template Ageing - The degree to which biometric data evolves and changes over time, and the process by which templates account for this change.

Template Size - The amount of computer memory taken up by the biometric data.

Third Party Test - An objective test, independent of a biometric vendor, usually carried out entirely within a test laboratory in controlled environmental conditions.

Threshold/Decision Threshold - The acceptance or rejection of biometric data is dependent on the match score falling above or below the threshold. The threshold is adjustable so that the biometric system can be more or less strict, depending on the requirements of any given biometric application.

Throughput Rate - The number of end users that a biometric system can process within a stated time interval.

Type I Error - In statistics, the rejection of the null hypothesis (default assumption) when it is true. In a biometric system the usual default assumption is that the claimant is genuine, in which case this error corresponds to a ‘False Rejection’.

Type II Error - In statistics, the acceptance of the null hypothesis (default assumption) when it is false. In a biometric system the usual default assumption is that the claimant is genuine, so this error corresponds to a ‘False Acceptance’.

User - The client to any biometric vendor. The user must be differentiated from the end user and is responsible for managing and implementing the biometric application rather than actually interacting with the biometric system.

Validation -The process of demonstrating that the system under consideration meets in all respects the specification of that system.

Verification/Verify - The process of comparing a submitted biometric sample against the biometric reference template of a single enrolee whose identity is being claimed, to determine whether it matches the enrolee’s template. Contrast with ‘Identification’.

WSQ (Wavelet Transform/Scalar Quantisation) - A compression algorithm used to reduce the size of reference templates.

Our Web site is packed with information on our product lines. We invite you to explore the site and download the technical documentation, news items, photos, description of sample installations, system simulations and recognition demos. 

License Plate Recognition

License Plate Recognition for a wide range of applications including Parking, Access Control, Logging all vehicles & alarm when Wanted Vehicles detected.   

Facial Identification & Verification Solutions

Complete solutions, software only, SDK or rentals!

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