Describing the details that matter: the importance of video metadata

    Effective surveillance solutions need to make complicated scenes simple to understand and act on. In practice, that requires gathering huge amounts of details in video and/or audio streams from what can potentially include a lot of sources. The more devices there are in the system, the greater the amount of potential details-of-interest that there could […]

      Marrying AI and manual labor for more effective assembly lines

      Digitization, automation, and Industry 4.0 are driving far-reaching changes in the manufacturing industry. But most of the mass production in industries such as automotive is still done by manual labor.  When it comes to manufacturing, there is quite naturally much talk about Industry 4.0. As you know, the industrial internet of things (IIoT), along with […]

        What factors should you consider for optimal video analytics performance?

        AI continues to be hailed as the technology that will augment and improve human performance in many sectors and the video surveillance industry is no exception. AI-based analytics is increasingly being used to quickly process large amounts of data and trigger actions. These functions help to support a security team when monitoring large and changing […]

          A perfect IIoT tool for integrators: how will you use it to innovate?

          Axis is all but synonymous with network-based surveillance cameras. The same operational efficiency, open APIs, and edge computing that built a world-leading position in that sector can be used for industrial internet of things (IIoT) solutions, helping integrators and end-users improve productivity, safety, and quality while reducing waste and downtime. Ask anyone about robots, and […]

            Future-proofing video surveillance investments with edge analytics

            You’ve probably heard of ‘edge analytics’ (or ‘analytics on the edge’) in relation to video surveillance. Put in its simplest form, it relates to increasingly powerful video analytics taking place on the ‘edge’ of the network, i.e. in the camera itself. My colleague Andres Vigren’s recent post provides a great introduction. As with any new […]

              Artificial intelligence on the edge: the opportunities for video surveillance

              In the world of video surveillance, one of the primary benefits of edge computing will be the ability to undertake advanced analytics using artificial intelligence (AI) and deep learning within cameras themselves. Firstly, what do we mean by “on the edge”? The number of devices on the edge of our security networks is growing and […]