Computer vision and smart traffic systems

AI is an area of computer science that consists of simulating human intelligence using mathematics, statistics, linguistics, computer science, and other sciences. AI can also be defined as the study of rational agents, as depicted in the following diagram:

Figure 14.1 – Agents

Taking Figure 14.1 as a reference, an agent receives perceptions coming from the environment. These perceptions are captured by sensors, and this information is processed to perform an action using effectors. Actions are decided by internal rules installed inside the agent. These actions involve the use of effectors such as arms, legs, or wheels, for example.

These internal rules can be implemented using different machine learning (ML) paradigms such as supervised learning (SL), unsupervised learning (UL), and reinforcement learning (RL).

ML is a type of AI that uses historical data as input to do predictions. Computer vision is...