Automated Fingerprint Identification Market Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2016 - 2023 Transparency Market Research Reports incorporated a definite business overview and investigation inclines on "Automated Fingerprint Identification Market". This report likewise incorporates more illumination about fundamental review of the business including definitions, requisitions and worldwide business sector industry structure. Automated fingerprint identification is a process which compares an unidentified fingerprint against recognized fingerprints stored in a database. These systems are related to conventional attendance and access control systems except that they offer real time fingerprint identification. In addition, these systems allow wide range of tasks such as processing, editing, searching, retrieving, and storing of fingerprint images. Automated fingerprint identification systems are often used by law enforcement agencies for criminal identification, authentication, person background check, and fraud prevention measure. Furthermore, at present automated identification systems are used by government, and private enterprises for security and identification purpose. These systems are used in various applications such as border control, voter registration, latent print matching, national identity cards, e passports, and public safety.
Automated fingerprint identification has gained significant attention across the globe, due to rising security concerns and unlawful activities. The necessity for effective investigation and easy suspect identification has increased to solve crime. In addition, the demand for automation in criminal identification system and storage of information is increasing due to sluggish conventional criminal identification process. Furthermore, the advancements in digital electronics technology, and increasing demand for faster fingerprint identification are expected to drive the automated fingerprint identification market. However, the reliability, and accuracy of fingerprint identification is a major concern in the criminal identification process. In addition, technical failures in the integration of hardware such as fingerprint scanner, and defects in software algorithm for fingerprint comparison are the key challenges restraining this market. Furthermore, with increasing development in identification technologies such as palm recognition, and facial recognition are expected to restraint the adoption of automated fingerprint identification market. The rising adoption of automated fingerprint identification by government, and private enterprises in civil identification projects provide opportunity for automated fingerprint identification market. Further, developments in cloud based automated fingerprint identification systems offer additional growth opportunities. For instance, the M2SYS Technology has introduced cloud based identification system to increase the scalability, and reduce hardware cost related to automated fingerprint identification systems.