Over the years, video surveillance has made great improvements in regards to design, features, functionality and application. As our technologies continue to evolve, the surveillance industry is bound to grow and expand even further.
In 1996, Axis Communications introduced the first IP Camera. This was originally used for monitoring the sea for oil spills, saving their customers from having to take two flights a day. Decades later, digital cameras are now the norm, from entertainment to security purposes.
When it comes to security, because we are very visual and use our eyes more than any other senses, we tend to prefer video. This is why we see CCTV surveillance cameras nearly everywhere these days. But how can we improve it?
Video surveillance can be valuable to businesses, however, monitoring the live feed 24/7 is not very realistic. Other detection tools, such as perimeter breach or motion detection, in conjunction with an alarm or alert system helps to improve security. But, as with most things, it has its flaws. These can include problems with detecting the breach, a bad judgment call in regards to what is seen, how long the feed is monitored and the length of backtracking.
Video analytics is more prevalent these days and makes efforts to address this issue. Thanks to advancing software and artificial intelligence (AI), video analytics can determine a human from an animal, eliminating false alarms caused by a pet at home. It also eliminates human error and takes motion detection a step further, as some systems can also distinguish between a known house member and a stranger.
Business and home protection continues to advance as more security camera systems integrate video analytics along with alarms, PIR sensors, and smart recordings. And thanks to edge computing, these technologies are becoming more accessible. By performing data processing at the edge of the network, close to the source of data, edge computing ultimately optimizes system performance.
But aside from all these advancements and improvements, privacy is still an important issue. Many feel uncomfortable having cameras watching over them and having their video streamed into the cloud. But what if our security systems became so advanced that video surveillance became unnecessary?
Hypothetically, an “Optical Analytic Sensor” could use edge computing to process new, updated analytics without having to transmit video. Instead, detailed descriptions of events would serve as data, eliminating bandwidth requirements and video privacy issues. Using advanced tools and AI, this sensor device could learn how to distinguish between known users and strangers. Thus, the device could automatically grant access t authorized users, eliminated passwords, codes, pins or keys. In a commercial setting, this device could sound an alarm for any unauthorized persons while ignoring those who are allowed to be there.
Again, this is all hypothetical and we may be years away from such an advanced and sophisticated system, but this shows how video analytics have the potential of enhancing various security applications.