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Smart City with SilkWay Development
Security cameras are not new in traffic surveillance - Video technology already helps catch speeding, red light runners and monitor traffic density to avoid traffic jams. With the rise of AI, IoT and smart cities, it's time to think about taking traffic video surveillance to the next level. See how security cameras equipped with AI can help make our roads and highways safer
The next level of Smart Traffic Surveillance
Today's traffic sensors are specialized in detecting “simple” traffic incidents such as cars driving through red lights or exceeding speed limits. They also help detect street conditions quantitatively, e.g. counting passing cars, enabling human operators to recognize traffic jams before they occur. Qualitative traffic analysis and control still requires humans, however, this will change soon with a new generation of smart video technology to be addressed in the following.
Smart objection
Traditional computer vision solutions were challenged in identifying objects such as weapons in the real world. AI-powered CCTV cameras come with an innovative neural network that takes into account all the potential errors before reporting an accident which brings down the rate of false alarms. It can be used to detect both visible and concealed weapons by integrating with hardware infrastructure.
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Loss prevention
AI technology’s comprehensive video analytics solution is specially designed for retailers. Its proactive loss prevention mechanism helps detect suspicious behavior that may result in shoplifting. AI video solution not only allows enforcement of loss prevention but can also provide heat maps for smarter consumer behavior analytics. It allows retailers to get actionable customer insights and use them to predict product demand, estimate the effectiveness of store performance and take action to optimize operations and improve profitability.
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Quick data extraction
Reactive security measures such as looking through video footage to get more information about events forensically might seem easy but without AI video analytics, it can be extremely difficult and time-consuming. Security personnel working in large premises like airports, universities, and so on.
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Object recognition
Recognition of objects is a form of computer vision for recognizing objects in pictures or recordings. The primary consequence of deep learning and machine learning algorithms is object recognition. We can quickly spot characters, things, scenes, and visual information while humans look at an image or watch a film.
Ordinary security cameras usually have issues detecting objects with accuracy due to the lack of technology behind their algorithms. AI technology has an edge over other cameras due to the accuracy with which it detects objects and does not give a substantial number of false alarms.
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+998 90 009 37 00
4, Tepamasjid str., Tashkent, Uzbekistan, 100164