일본 총판사(AINEXT)에서 동경에서 개최되는 전시회 참가가 10월에 계획되어 있습니다.
장소 : Tokyo Big Sight, West Hall Conference Tower
일정 : 10월 11일~13일
전시회홈페이지 : http://www.kikikanri.biz/english/
아드리아 보안 회담은 아드리아해 지역 보안 산업의 유일한 연례 회의이자 전시회 입니다. 회담 공동 주최자들과 파트너들은 보스니아-헤르체고비나, 크로아티아, 마케도니아, 슬로베니아, 세르비아의 전문적인 보안 협회들을 선도하고 있습니다. 안드리아 보안 회담은 매년 다른 국가에서 개최 되고 있는데 이것은 그 성격이 진정한 지역 행사임을 증명합니다. 2017년, 아드리아 보안은 9월13일 부터 15일까지 크로아티아의 시베니크에서 열릴 예정 입니다.
2회 전시회 기간 동안 아드리아 보안 회담은 공급 체인점(모든 수직적 시장안에서 제조 업체, 총판, 공인 대리점, 설치 관리자, 시스템 통합 업체, 컨설턴트 및 최종 사용자)안에서 800명 이상의 참가자를 모집합니다. 이 행사 일정에는 업계 최고의 전문가들이 진행하는 27개의 강의가 포함될 예정 입니다.
AxxonSoft는 파트너 회사인 AlarmAutomatika (완전하고 혁신적이며 통합된 보안 솔루션을 개발 및 구현하는 지역의 리더)와 함께 아드리아 보안 회담에 참석합니다.
#6 부스에서 AxxonSoft는 공공 부문 및 안전한 도시 프로젝트의 특정 과제를 해결하도록 설계된 Axxon Next VMS 와 Intellect PSIM 기능을 소개할 것 입니다.
Summer 2017 has been busy for AxxonSoft. The company took part in three events in Africa: the Securex trade fair and the Zululand Trade Fair 2017 road show in South Africa, and end-user training in Kenya.
Securex 2017 was held at the Gallagher Convention Centre in Midrand, Johannesburg fr om 30 May to 01 June 2017. Securex South Africa Exhibition is the leading exhibition for security in Africa, bringing together visitors and exhibitors representing more than 10 different countries.
Next, AxxonSoft took part in the Zululand Trade Fair 2017 road show which was held on 29 June — 1 July at the ZCBF grounds in Richards Bay, KwaZulu-Natal.
The Zululand Trade Fair is an annual business and entertainment event. The two-day, three-night expo showcases products and services from corporate companies to home stall holders, and it is also a feast of live entertainment and fun with food and beverage outlets and beauty pageants. The Fair not only fosters economic development and growth in the area but also indirectly stimulates the local economy through tourism expenditures.
At the event, AxxonSoft showcased its flagship products Axxon Next VMS and Intellect PSIM.
Finally, the company turned its course to Nairobi, Kenya, wh ere on 4 August 2017, AxxonSoft and Xtranet conducted an end-user breakfast event to introduce their products to key stake holders in the market. Around 30 end users attended the training and interacted with the products, including representatives of the following organizations: Ministry of Lands, Nairobi County Government, Nairobi Hospital, Nation Media Group, Kenya Revenue Authority, and others.
Today ‘terrorism’ has become a word we use and hear every day. The goal of terrorism is a media product - information delivered to nearly every house in the world. So, the weapon of terrorism is information.
Therefore, the way we defend and prevent terrorism must also be based on intelligent processing of information - and an early awareness of potential threats and effective preventive action may eliminate most attacks. Video analytics, automated surveillance and AI decision-making are going to change the rules of the struggle between civilians and terrorists by making attempted attacks predictable, senseless and silent. In this article, we will evaluate to what extent technology can investigate and prevent terror crimes considering the latest technology innovations.
Civilian feedback helps terrorists to accomplish missionIn order to achieve their main goal - loud media response - terrorists and those who order the attacks use unpredictable tactics and the element of surprise; so that after every attack, the media discusses for months the circumstances and their insanity.
Unfortunately, each time it happens our society seems to be unprepared. As the media environment grows, terror attacks attract more attention, and the feedback of civilians actually helps the terrorists to accomplish their mission.
Features of terrorist crimesCounter-terrorist specialists highlight, among the others, the following inherent symptoms of terror crimes:
The facts are:
Aggregation of metadata sources could be constructive because it would significantly increase metadata availability for analytical systems and will improve metadata quality. This would surely require replacement of most of existing security systems and standardisation of new systems so to ensure maximal compatibility of metadata sources and analytical systems.
Offline video analyticsAs these improvements are difficult to develop and implement globally, replacement solutions are being offered currently in the security market. One of them is the concept of offline video analytics, which generates and analyses metadata from any video source. Video sources may vary from ‘old school’ analogue cameras to high-resolution IP cameras recorded in any digital format. Quality of the metadata generated from offline analytical systems is almost unaffected.
High quality metadata can be analysed and investigated automatically or semi-automatically for violations, crimes and terror activity. Automatic or semi-automatic investigation can be based on crime scenarios, behaviour patterns, forensic search, face and vehicle recognition and synoptical search. Fast and effective investigation of terror activities may prevent attacks and also can reduce the number of active terrorists.
Deep learning and neural network technologiesHowever, realtime crime and terror prevention requires instant metadata generation and analysis. The investigation instruments mentioned above would not be of the same efficiency. Firstly, processing capabilities of analytical system must be very high because the system should be able to record data, generate metadata and analyse it at the same time in realtime conditions. Currently the most powerful server processors can run only tens of detectors so it becomes very costly. That is why these kinds of solutions are only used in critical infrastructure. However, if they were used widely they would dramatically reduce the number of criminal and terror activities.
Deep learning and neural network technologies (so-called artificial intelligence - AI) are coming to the security market to replace classic video analytics. These systems are not yet much more efficient hardware-wise; however, they have greater potential and they are cheaper. Behaviour patterns, actions, sounds, speech, faces, car number plates and many other metadata types can be identified and collected and analysed by AI in realtime.
Emotion recognition/vibraimage technologyEmotion recognition (or vibraimage) technology measures micromovements (vibration) of a person by processing video from a camera or any video source. Human head microvibration is linked with the vestibular-emotional reflex (VER) and depends on emotional status. Vibraimage systems detect human emotions by the control of 3D head-neck movements accumulated in several frames of video processing. Vibraimage is a system that detects all human emotions.
Blockchain can bring awareness of different views. Imagine if the security surveillance and analytical AI system knew about each person’s life and social background so it could make automatic decisions to give more surveillance priority to those who potentially could take negative action.
Although security equipment is becoming more affordable, the budgeting of security systems at a government and private level is still the biggest problem. As the global population is growing and migration is getting more intense, public and private security is becoming a natural need. Meanwhile, the security market is ready to deliver solutions that can instantly investigate and even prevent terror activities.