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In individual crimes, the focus is on catching the criminal rather than preventing the crime. It is not possible to instantly monitor all existing security cameras with manpower in stores or in places where people are concentrated. Private/public security teams and cameras are placed in buildings and areas to prevent crime. Although these methods use a lot of manpower, they do not provide a deterrent. It is insufficient for rapid detection of crime. After a crime has taken place, examining the recorded footage for hours and detecting the moment of the event leads to inefficient use of resources. In-store theft and plagiarism problems in jewelers are noticed after the incident occurs and the suspect leaves the scene. We are able to detect anomalies that our competitors cannot detect. A person can raise their hand to pick up an object from the shelf, or because it's a robbery. A customer may be buying a knife, or there may be a knife robbery. As in these examples, we provide the detection of crimes or abnormal situations that cannot be easily understood by an object or behavior detection. Our difference is real-time pattern recognition.

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Muhammed Yilmaz is the CTO of BixByte Technology.

1 people are employed at BixByte Technology.

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