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Trends in Security Information
The HSD Trendmonitor is designed to provide access to relevant content on various subjects in the safety and security domain, to identify relevant developments and to connect knowledge and organisations. The safety and security domain encompasses a vast number of subjects. Four relevant taxonomies (type of threat or opportunity, victim, source of threat and domain of application) have been constructed in order to visualize all of these subjects. The taxonomies and related category descriptions have been carefully composed according to other taxonomies, European and international standards and our own expertise.
In order to identify safety and security related trends, relevant reports and HSD news articles are continuously scanned, analysed and classified by hand according to the four taxonomies. This results in a wide array of observations, which we call ‘Trend Snippets’. Multiple Trend Snippets combined can provide insights into safety and security trends. The size of the circles shows the relative weight of the topic, the filters can be used to further select the most relevant content for you. If you have an addition, question or remark, drop us a line at info@securitydelta.nl.
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Video/Image analysis & recognition
Video or image analysis and recognition is the practical application of deep machine learning to identify objects, people, text, scenes, activities and everything else that is visually distinct in visual data, like videos or still images. The practical applications range from automated radar detection systems to facial recognition and factory automation. There are three levels to image recognitions. First of all, object recognitions, where learned objects can be recognized together with their position in the image. Secondly, identification, where individual instances of an object are recognized, for example the detection of specific faces or vehicles. Lastly, detection, which is the least computationally demanding as it is the simplest. Detection entails detecting a single specific condition, such as the presence of a vehicle.
These technologies also have more controversial applications where they are used to protect authoritarian regimes and supress dissidents or racial minorities or used in (semi)autonomous weapons systems.
Related keywords: event detection, cameras, sensing, sensors
Video or image analysis and recognition is the practical application of deep machine learning to identify objects, people, text, scenes, activities and everything else that is visually distinct in visual data, like videos or still images. The practical applications range from automated radar detection systems to facial recognition and factory automation. There are three levels to image recognitions. First of all, object recognitions, where learned objects can be recognized together with their position in the image. Secondly, identification, where individual instances of an object are recognized, for example the detection of specific faces or vehicles. Lastly, detection, which is the least computationally demanding as it is the simplest. Detection entails detecting a single specific condition, such as the presence of a vehicle.
These technologies also have more controversial applications where they are used to protect authoritarian regimes and supress dissidents or racial minorities or used in (semi)autonomous weapons systems.
Related keywords: event detection, cameras, sensing, sensors
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