Intelligent Smart Automation and Intelligent Edge Systems Made Possible by Deep Learning in Embedded Systems

The lightning-fast advancement of technology such as digital transmission, electronics, and miniature technologies has made it possible for our society to make significant strides forward. As a consequence of this, the prices of producing electronic devices have reduced, the utility of these devices has increased, and the digital world has displaced the physical world. As a direct result of this, the ways in which we interact with one another and the environment have developed. We make use of sophisticated equipment improve our understanding of the world around us. In today's world, scientific institutions and technology advancements are continually working to produce more complex living environments. It is now possible for any system to gain intelligence as a result of technological breakthroughs in fields such as energy, communication, embedded systems, the internet of things, and wireless sensor networks. These technical breakthroughs have made it possible for systems to become more native, robust, autonomous, and limited compared to their previous state. In real time, these systems are able to maintain their concentration on the tasks at hand, even while operating in the most difficult conditions.