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  • Cameras and alarms connect to platforms

    Posted by Prakash Sandeep November 15, 2019 - 322 views - 0 comments - 0 likes - #Cameras and alarms connect to platforms 



    Alarms, cameras and other methods for securing a company and its assets are among the areas where digitization penetrates relatively quickly, but it is all the more fighting the challenges of the digital age. What are some of the most significant problems?

    A major problem with current security solutions is speed or slowness. As the speed of detection and verification of any type or reaction - For example, conventional burglary takes on average about two to three minutes . In contrast, the average reaction time of the police and security agencies in the US and in the EU is around ten minutes .


    In addition, false alarms are added. They can be triggered, for example, by insects, air movement from heating or air conditioning. In the case of outdoor areas it can be animals, movement of trees in the wind or random passers-by. As a result, many false alarms cause either complete ignorance by those who have to deal with them or too slow responses from relevant organizations.

    In addition, the problem is gradually increasing as the number of edge devices and industrial and consumer IoTs is increasing - for example, smart locks, wheels, helmets or even safes. In the future, more objects around us will have these technologies directly from the manufacturer. For security system owners, regardless of whether they receive information about each alarm by phone or notification from the mobile application, it is now difficult to know if and how to respond.

    There are enough smart devices on the market, but they lack contextual data
    Gradually, the number of camera manufacturers using artificial intelligence and machine learning is increasing, which is able to filter out false alarms with greater or lesser success. Intelligent software can be installed in the camera itself, as it has as Google with its aiy Vision Kit , or relatively new SimCam , which allows developers to train their own models.

    Many big players process data for change solely in the cloud. Both have advantages and disadvantages. Processing cleanly and directly on the device has theoretically better privacy protection, because no or most sensitive data should leave the device. However, this is also the biggest drawback. As mentioned above, most current security systems generate one false alarm after another. While alarm evaluation technologies are improving, even the best equipment will always lack more data. Has there been a power outage because the thief has blown the fuses, or is there a shutdown in the entire borough? In the future, contextual data may not be needed to properly evaluate a security incident.

    I see the future not only in connecting data from today's isolated devices, but also in connecting people. A survey among Angelcam customers showed that 80% of them want to be informed about what's going on around them. Most of them - rightly - believe that they will increase their own security if they help others.

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