Scribd
Upload
88 views10 pages

Intro to Intelligent Systems

The document introduces intelligent systems, which are technologically advanced machines that can perceive and respond to their environment through sensors and computer vision. Intelligent systems have applications in areas like factory automation, medical care, education and more. Some examples provided are automated vacuums, facial recognition, and autonomous vehicles. Developing intelligent systems also presents challenges such as dealing with uncertainty from sensors, dynamic real-world changes, computationally intensive tasks, and computer vision mapping problems.

Uploaded by

anhtu9_910280373
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
88 views10 pages

Intro to Intelligent Systems

The document introduces intelligent systems, which are technologically advanced machines that can perceive and respond to their environment through sensors and computer vision. Intelligent systems have applications in areas like factory automation, medical care, education and more. Some examples provided are automated vacuums, facial recognition, and autonomous vehicles. Developing intelligent systems also presents challenges such as dealing with uncertainty from sensors, dynamic real-world changes, computationally intensive tasks, and computer vision mapping problems.

Uploaded by

anhtu9_910280373
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 10

Introduction to intelligent systems

n Duration: 1 hr
n Outline:
1. What is an intelligent system?
2. Applications
3. Challenges
What is an intelligent system?

§ Technologically advanced machine can perceive and respond to


the world around it (i.e., system can sense and react to its
environment)

§ Ex: automated vacuum cleaner, facial recognition program,


Amazon’s personalized shopping suggestion, app Siri, smart watch,
etc.
Areas within intelligent systems

§ How machines perceive their environment?

Ø Through sensors

Ø Through vision (computer can understand and interpret visual


information from images/videos)

§ How machines interact with their environment?

Ø E.x: autonomous taxi

https://www.youtube.com/watch?v=vC8paIPH2xY
Autonomous taxi

§ How machines perceive their environment?

Ø Through sensors

Ø Through vision (computer can understand and interpret visual


information from images/videos)

§ How machines interact with their environment?

Ø E.x: autonomous taxi

https://www.youtube.com/watch?v=vC8paIPH2xY
Applications

n Factory automation

n Field and service robotics

n Assistive robotics

n Military applications

n Medical care

n Education

n Entertainment
Applications

n Visual inspection

n Character recognition

n Human identification using various biometric modalities (e.g.


face, fingerprint, iris, hand)

n Visual surveillance

n Intelligent transportation
Acknowledge for intelligent systems
n Programming n Physics
n Data structures n Numerical methods
n Algorithms n Math (calculate, linear algebra,
n Pattern recognition staticstic and prob.)
n Machine learning n Psychology
n Artificial intelligence
Challenges
§ Uncertainty: sensors provide limited, noisy and inaccurate
information à actions may be incorrect.

§ Dynamic world: the physical world changes continuously à


decisions should be made at fast time scales

§ Time-consuming computation: searching for the optimal path to


a goal requires extensive search through a very large state space.

§ Mapping: information lost in the transformation from the 3D world


to the 2D world. Computer vision must deal with challenges
including changes in perspective, lighting and scale; background
clutter or motion; etc.

You might also like