Person detection, licence plate recognition, face recognition, vehicle detection – these are just a few features of AI (artificial intelligence) video surveillance. Therefore, we can say this is a new generation of security surveillance that offers a wide range of advanced analytical functions by connecting to the network of IP cameras. These kinds of security surveillance are revolutionizing video analytics and provide a high percentage of security. It gets used in most public places, especially enterprises like numerous companies, factories, facilities, shopping malls, and especially casinos, where surveillance is essential. Online slots real money data protection is a great example where AI video surveillance could develop even more.
Detecting high-risk scenarios
What is the critical role of AI video surveillance? Detecting high-risk scenarios and prevent them before something crucial happens. We had cassettes that recorded all that occurs in some areas in the old times, but the storage was a problem – collected data would overwrite after a brief period. This data overwriting caused many problems because most of the bad scenarios in public places take months, years and even decades to prosecute. Thankfully now we have the cloud to store data on, so storage is mostly not a problem.
The demand for this kind of surveillance is rapidly growing. For example, some data show the world market for real-time surveillance video analytics was worth 2.3 million dollars in 2018, and it will go up to 9 million dollars by 2023. An average person would think Google, Apple or Amazon are the most incredible users and developers of this technology, but data shows that the most astonishing growth is in schools. This fact is something that shouldn’t surprise us because of the rise of violence amongst kids. There is also colossal use of AI surveillance in big cities by the police in helping investigating crimes.
Behavioural analytics
There is one of the subsets of AI surveillance that got a lot of attention. It describes a unique analysis of certain behaviours in people recognized as the hazard for the enterprise and people present. Suppose the cameras acknowledge this kind of behaviour. In that case, it will prevent certain harmful events, for example – the cashier rising hand (could mean they spotted danger) or a person crouching near an ATM. Some software can recognize a person holding a gun or workers being in the correct position while conducting a job. All this would raise the level of security in the working place.
However, all these features need an excellent technical backup to work appropriately – storage, camera functionality, processing – all working simultaneously 24/7. So even though humankind made a lot of progress in this field, there is still a long road to go.
Big Brother is watching
In the end, we can’t jump over the ethical side of AI video surveillance. Some critics say we all become actors in a reality show and almost every part of life can get recorded and analyzed. Is the price for security selling our privacy? And what about the hacking of such systems? The only solution to these issues is keeping a balance and also investing in new technologies. Because with our self phones, computers and applications we use willingly every day, we are already letting the famous Big Brother watch our privacy.
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