Artificial intelligence in its most rudimentary form has already found its way into the core of embedded devices. Home automation lighting systems, for example, that turn in and out of it based on whether or not someone is in the room. On the surface, the system does not appear to be particularly glamorous.
Improved image identification will start opening a slew of new opportunities.
The confluence of AI and embedded systems will result in significant advancements in image and video recognition in the near future. Embedded technology advancements will enable us to create imaging devices with more computing power and smaller footprints.
Simultaneously, AI will supply the algorithms necessary for real-time image and video recognition. The use of this intelligent imaging equipment for public safety will be advantageous since they will detect potentially unsafe activity. Such systems will also be used in companies for better inventory management, transportation system monitoring, and the advancement of industrial automation.
The Way People Or Goods Move Will Be Affected By Self-Driving Cars
Cars and embedded devices have more in common than you might expect. Embedded systems are found in the satnav, airbag deploys mechanisms, anti-lock braking system, and other systems. The adoption of AI in autos, on the other hand, will be a game-changer.
Autonomous vehicles have been in development and in a variety of field trials for the past few years. Tech behemoths like Google, Tesla, and Uber are pouring billions of dollars into research and development in the hopes of ushering in a driver-less future. Don’t worry, we won’t be abandoning our automobiles anytime soon.
Taking on Dangerous Jobs
Machines are already taking care of some of the most dangerous factory jobs. We now have powerful embedded systems running entire production lines in manufacturing plants, thanks to advancements in embedded circuits and industrial automation. However, the majority of these machines aren’t entirely automated and still require human participation.
However, there will come a time when AI will assist engineers in developing really intelligent robots that can function without the need for human interaction. The creation of bomb-defusing robots is one such topic. Jobs such as the production of potentially toxic chemicals, drilling, and welding, among others, could be taken over by AI-enabled machines.
Analyzers of Protocols
Protocol analyzers are an essential part of a pervasive computing engineer’s arsenal. They give you real-time access to precise information on the I2C, SPI, and CAN buses. Protocol analyzers capture and evaluate data passing across an interface bus.
As a result, protocol analyzers like the Beagle USB 12 Protocol analyzers are essential in the design and troubleshooting process because they allow you to study data from a protocol analyzer and provide actionable reports for testing and validating your applications. Total Phase provides products to assist embedded software engineers in applying their skills to artificial intelligence.
