News & Events
This year’s Summit of the Global Security Challenge was held on 11-12 November 2010 at the University of London. Besides keynote speeches, lively and provoking panel discussions we had the chance to attend unparalleled networking sessions.
The program also included the start-up companies’ competition finals, with the participation of around 350 start-ups, investors and government leaders, which was a great opportunity for us to meet potential partners and run discussions on our latest innovation, the CUBEA Customer Behavior Analysis System.
The idea of the Global Security Challenge (GSC) was born at the London Business School in 2005, where the founding team met during their MBAs. Through their professional backgrounds in the security field, they knew about the challenges that innovators face in this market, and created the GSC to empower entrepreneurs in the security space.
GSC runs several international business plan competitions every year to find and select the most promising security technology. It awards over US$500,000 in grants and prizes to innovative start-ups and ideas in the world.
November 15, 2010
After an intensive one-year-long research and development work in cooperation with NETAVIS (Austria) and Correlation Systems (Israel), the CUBEA project, which was coordinated by SEARCH-LAB and funded by EUREKA’s Eurostars Programme, was successfully closed at the end of October.
As a result, an integrated product has been developed that applies video analytic techniques to track persons and goods in retail shops. Based on the collected information the system is able to analyze and predict the behavior of customers, and thus help to optimize the placement of goods and advertisements. The pilot of the system was run in one of Coop Hungary Zrt’s retails shops in Budapest. Based on the successful pilot, we are now outlining the sales and marketing plan in co-operation with our partners.
If you want to know more about the Customer Behavior Analysis System, please visit the website of CUBEA and download the slide presentation on our newly developed product; for commercial offer please send us an email to email@example.com.
November 3, 2010
Are you interested in optimal shop organization for profit maximization? Download our slide presentation on Mobile Shelf Monitoring.
Learn about our brand new customer behavior analysis system based on video surveillance as well as get informed on the required technical environment necessary to apply this novel product and promotion placement optimization method in shops.
The Mobile Shelf Monitoring includes easily deployable cameras looking at the shelves, and is able to provide information on customers’ behavior and suggest optimal product placement in a cost effective way.
March 17, 2010
CUBEA project started in September with the coordination of SEARCH-LAB. The goal of the project is to elaborate an integrated product to help retailers make better business decisions and increase sales and profitability by analyzing customer behavior.
The system applies video analytic techniques to track persons and goods in retail shops. Based on the collected information it will analyze and predict the behavior of customers, and thus help to optimize the placement of goods and advertisements.
CUBEA is funded by EUREKA's Eurostars Programme, which is the first European funding and support programme to be specifically dedicated to SMEs. Consortium members are NETAVIS (Austria) and Correlation Systems (Israel).
September 3, 2009
SEARCH-LAB successfully closed the INsider project with its partners from Israel and Czech Republic. The system developed by the project operates as an access control and tracking system deployed on-site.
By combining video- and other sensor-based object (person) tracking with different remote identification methods it accomplishes identity tracking throughout the site. The video analysis data and the access control positioning data is fused and analyzed by geospatial data mining algorithms in order to identify seemingly unnoticeable security breaches and to predict future events to allow early response to them.
The innovation in the project is not only the development and the integration of the core technologies, but also the exploitation of synergies between them.
July 20, 2009
Meet us and the stakeholders of the security industry at the IFSEC 2009 event in Birmingham, UK.
With over 600 exhibiting companies and six product areas, the most topical and up-to-date conference and seminar content and numerous networking opportunities, IFSEC remains the place for the security industry to do business. To find out more about the event visit the official webpage of IFSEC: http://www.ifsec.co.uk.
May 11-14, 2009
Retail shops are among the most promissing application areas of video content analysis systems. With its unique shopping cart tracking technology IDENTRACE approaches this segment in a merely novel way.
Surveillance applications in retail shops usually served two purposes until now. They either supported loss prevention investigations in order to reduce inventory shrinkage or improved customer experience by e.g. assessing or predicting the queuing times based on people counting. With the introduction of the CUBEA Customer Behavior Analysis System, IDENTRACE offers such video based analytics that can provide valuable information to support business decisions. The intelligent functions and the identity tracking of IDENTRACE help retail shop management increase sales and profitability.
March 2, 2009
The IDENTRACE team will be present at CeBIT, the leading event for the digital world.
CeBIT is the world's largest trade fair showcasing digital IT and telecommunications solutions for home and work environments. The key target groups are users from industry, the wholesale/retail sector, skilled trades, banks, the services sector, government agencies, science and all users passionate about technology. To find out more about the event visit the official webpage of CeBIT: http://www.cebit.com.
March 4-9, 2008
The introduction of the model-based approach of IDENTRACE for ear identification was published in the International Journal of Intelligent Computing in Medical Sciences and Image Processing.
Nowadays the viability of ear-based biometric identification and the uniqueness of ears are beyond question, but reliable technical solutions, which could form the basis of a successful commercial application, have not reached wide audience. As opposed to face recognition, in which a model-based approach is widely used, surprisingly little effort has been put into using ear models in automatic identification, even though ear shape is more robust than facial characteristics, being unaffected by emotional expressions or other changes like moustache, beard or glasses. In this paper we introduce our latest work in a model-based approach for ear identification, featuring schemes for both ear localization and feature extraction. The tests and evaluations of our proposed solution have proved that the method is accurate and fast enough to allow its application in intelligent video surveillance, where people can be remotely identified and their identity can be continuously tracked using the ears as auxiliary identification method.
The web site of the journal can be reached at http://wacong.org/icmed/
May 14, 2007