Australia has started implementing biometric facial, iris and fingerprint recognition in airports, allowing passengers to go through without showing a passport or even talking to anyone. The "Seamless Traveler" project is aimed at creating a "fast, seamless self-processing experience for up to 90 percent of travelers," so that border control can focus on high-risk passengers. The handy, but invasive-sounding plan would allow international travelers to "literally just walk out like at a domestic airport," security analyst John Coyne told Australia's Sidney Morning Herald. The system would replace passport-scanning SmartGates, which were implemented in the nation just ten years ago. The government's plan to implement biometrics might be a touch ambitious, however.
Police have made their first arrest based on facial recognition technology, a system that is controversial but could identify terrorism suspects in real time. South Wales police said that they arrested a local man with an outstanding warrant last week after cameras identified him from his features as he passed a surveillance van. The arrest came as officers were preparing to use cameras fitted on vehicles to film the faces of football fans attending the Champions League final at the Millennium stadium in Cardiff on Saturday. The force has received Home Office funding to pilot the technology from the NEC security business. Success could lead to a national rollout.
CNL Software has entered into a technology partnership with Herta Security under the CNL Software Technology Alliance Program. Herta develops user-friendly software solutions that enable the integration of facial recognition in security applications. According to the announcement, Herta's deep learning algorithms encode faces directly into small templates, which are very fast to compare and yield more accurate results. This provides a technological advantage when working with partners, as it allows the development of more robust, safer and efficient solutions. IPSecurityCenter PSIM takes a vendor agnostic approach to implement flexible and scalable security management software.
Dubai: Thousands of CCTV cameras of various Dubai government agencies will now provide live feed to a central command centre, officials said. Under a new Artificial Intelligence (AI) network, security cameras across will relay live images of security breaches live to the central command centre, Dubai Police said. The cameras will monitor criminal behaviour in three sectors -- tourism, traffic and bricks and mortar facilities. The network, said the police, is being phased in via different stages to meet the Dubai 2021 Vision requirements of a smart city. Announcing the programme, Major-General Khalil Ebrahim Al Mansouri, Assistant Commander-in-Chief for Criminal Investigation Affairs, said the new project called'Oyoon' (eyes) will tackle crimes in the city and help reduce traffic accident deaths and congestion.
ABSTRACT Considering the existence of very large amount of available data repositories and reach to the very advanced system of hardware, systems meant for facial identification have evolved enormously over the past few decades. Sketch recognitio n is one of the most important areas that have evolved as an integral component adopted by the agencies of law administration in curren t trends of forensic science. Matching of derived sketches to photo images of face is also a difficult assignment as the considered sketches are produced upon the verbal explanation depicted by the eye witness of the crime scene and may have scarcity of se nsitive elements that exist in the photograph as one can accurately depict due to the natural human error. Substantial amount of the novel research work carried out in this area up late used recognition system through traditional extraction and classificat ion models . But very recently, few researches work focused on using deep learning techniques to take an advantage of learning models for the feature extraction and classification to rule out potential domain challenges. The first part of this review paper basically focuses on deep learning techniques used in face recognition and matching which as improved the accuracy of face recognition technique with training of huge sets of data. This paper also includes a survey on different techniques used to match com posite sketches to human images which includes component - based representation approach, automatic composite sketch recognition technique etc. INTRODUCTION As per the researches carried out, a complete face recognition system includes two patterns of face detection and face recognition: 1) Structural similarity and 2) individual local differences of human faces. Therefore, it is required to extract the features of the face through the face detection process. The evolution of face recognition is due to its technical challenges and huge potential application in video surveillance, identity authorization, multimedia applications, home and office security, law enforcement and different human - computer interaction activities. Facial recognition technology (FRT) is one of the most controversial new tools. It was first devel oped in the 1960s.