The Namibian Police Force with the joint venture of the consultants from OTESA has made a great impact on the project with the design and development of an integrated automated biometric identification system for Nampol.
The aim of the project is to assist NAMPOL to achieve their stated goals and objectives.
AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM (AFIS).
- AFIS is a type of biometric system that uses digital imaging to capture fingerprints, which then can be matched to a database of fingerprint records to help determine the identity of an individual, commonly used in law enforcement where sets of prints recovered in the crime scene were compared against the database of known and unknown prints.
- The comparison takes the computer only minutes to do a job which would have taken weeks before computeri-zation of the system.
THE N-ABIS HAS THE ABILITY TO PERFORM THE FOLLOWING FUNCTIONS:
- Search a set of known fingerprints (tenprints) against the records of an existing ten print database (Tenprint Inquiry (TI).
- Search a latent print from a crime scene against a ten print database (Latent Inquiry (LI).
- Search a latent print from a crime scene against the record of existing unsolved crimes database (Latent to Latent Inquiry (LLI).
- Search a new ten print against the record of existing
Unsolved crimes database (Tenprint to Latent Inquiry
PURPOSE OF THE NAMPOL AFIS.
AFIS is the answer to the labor-intensive and time consuming process of classifying, searching, and matchin fingerprint used for identification.
AFIS will be use by NAMPOL for criminal identification
The most important of which include identifying a person suspected of committing a crime or linking a suspect to other unsolved crimes.
It also helps to identify victims of natural and man made disasters.
No matter how competent the evidence technician is at performing his job, the gathering of physical evidence at a crime scene will be futile unless such evidence can be properly processed and analyzed.
Since fingerprints are by far the most frequently retrieved physical evidence, making the system of analysing such prints effective will contribute the most toward greater success in identifying criminal offenders through the use of physical evidence.
AUTOMATED FACIAL RECOGNITION SYSTEM (AFRS).
A facial recognition system Is a computer application capable of identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a facial database.
- It is typically used in security systems and can be com-pared to other biometrics such as fingerprint or eye iris recognition systems
- AFRS is to help Nampol to improve efficiency of case handling.
- The system will have face image acquisition, face image storage and face image identification model.
- AFRS allows enquiries of facial recognition against face image database.
N-ABIS ALLOWS FOR PROCESSING OF ALL IDENDIFI-CATION AND VERIFICATION REQUESTS, INCLUDING:
- Personal Identification by multi-biometrics fingerprint, palm print and potentially face and others.
- Real-time identification using single or multiple fingerprints.
- Identification of unknown deceased persons.
- Inclusion of other (textural) data for criminal history, or interfacing into existing systems, depending on operational requirements.
- Consolidation of latent data to link crimes committed by the same perpetrator.
N-ABIS HAS BEEN SPECIFICALLY DEVELOPED TO MEET MODERN LAW-ENFORCMENT REQUIURMENTS AND ALL BASE TECHNICAL REQUIRMENTS CAN BE EASILY MET THROUGH.
- Real-time 1:N and 1:1 transactional processing using 10 fingerprints, single fingerprints, palm prints as well as latent finger and palm prints.
- Utilizes international (NIST) standards for Biometric interchange as well as WSQ compression.
- Interoperability to other Biometric systems if other systems utilize international standards.
- NEC ABIS always keeps original image data.
- Conversion of current card based records possible through NEC workstations, connected to N-ABIS.