Revolution in Video Analytics is no different. Traditionally, CCTVs were being used for live surveillance by a security team or for post-event analysis.
Manufacturing is amongst those few industries that continue to grow throughout the various stages of the economic cycle of the market.As per an article by Dave Prager on artificial intelligence (AI) and manufacturing, manufacturing accounts for approximately 15% of the global GDP and amounts to roughly $12 trillion in yearly revenues. And that is HUGE.
It is no secret that today industries like banking, retail, and gaming rely highly on artificial intelligence. Now the race is being joined by manufacturing as well. With this, industrial automation is becoming more and more of a possibility today.
What is Industry 4.0? Nowadays, machines are using the Internet of Things(IoT), Cyber-Physical System(CPS), artificial intelligence, cloud computing, video analytics and other digital technologies to communicate with each other and make informed decisions, independent of humans. This phenomenon was already coined Industry 4.0 in 2011 by the German federal government.
With the Advent of the internet into every sphere of our lives, more commonly known as the Internet of Things (IoT), video analytics is gaining a strong ground too. The security measures applied to almost every corporate and non-corporate setting involve the use of video analytics.In simpler terms, video-analytics is the love child of video and IoT.
The Silversparro Team, visited a large steel mill to study its processes that make it successful and profitable. To our surprise, for every process and group of workers there were a dozen pairs of eyes supervising and monitoring them closely. During the time when we expect every part on the factory floor: machinery, equipment and processes to be fully automated, manual operations still dominate the manufacturing sector.
Software Ate the World, Now AI Is Eating Software. Traditionally, enterprise software was mostly sold as a service – where service providers used to charge for the time it took the software developers to first develop and then maintain a custom solution for a client.