Practice Vision Systems - 27.4.1 | 27. Use of Robots in Disaster-Stricken Areas | Robotics and Automation - Vol 2
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

27.4.1 - Vision Systems

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What type of camera detects heat signatures?

💡 Hint: Think about searching for warmth in a cold environment.

Question 2

Easy

Name one application of RGB cameras in disaster response.

💡 Hint: Consider scenarios involving clear visibility.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What type of vision technology allows robots to detect body heat?

  • RGB Camera
  • Thermal Camera
  • Night Vision

💡 Hint: Think about how we feel warmth in cold.

Question 2

True or False: 3D vision systems can help robots navigate around obstacles.

  • True
  • False

💡 Hint: Consider how humans use depth to avoid bumping into things.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a scenario where a robot must use its vision systems to navigate a collapsed building to find survivors. Discuss the sequence and choice of cameras utilized at different stages.

💡 Hint: Think about visibility and obstacles in the environment.

Question 2

Critically analyze the effectiveness of employing only RGB cameras in a night-time disaster scenario.

💡 Hint: How does light affect camera performance?

Challenge and get performance evaluation