Skip to content
CampusPrep

AL-701 RGPV B.Tech

Computer Vision (CV)

Previous year papers and the official syllabus are free to read, no account needed.

Previous Year Papers

3 papers, latest Dec 2025

Free
See all 3 papers

Syllabus, notes and important questions for AL-701

Syllabus units

Topics as the official RGPV syllabus lists them.

Unit 1 Introduction to Computer Vision 9 topics
  • Introduction to computer vision
  • Introduction to images
  • Image Processing vs Computer Vision
  • Problems in Computer Vision
  • Basic image operations
  • Mathematical operations on images: datatype conversion
  • Contrast enhancement
  • Brightness enhancement
  • Bitwise operations (different bitwise operations)
Unit 1 notes
Unit 2 Binary Image Processing 7 topics
  • Binary image processing
  • Thresholding
  • Erosion
  • Dilation
  • Opening and closing
  • Connected component analysis
  • Contour analysis
Unit 2 notes
Unit 3 Image Enhancement and Filtering 11 topics
  • Image enhancement and filtering
  • Color spaces
  • Color transforms
  • Histogram equalization
  • Advanced histogram equalization (CLAHE)
  • Color adjustment using curves
  • Image filtering: introduction
  • Convolution
  • Image smoothing – box blur
  • Gaussian blur
  • Median blur
Unit 3 notes
Unit 4 Image Gradients and Edge Detection 7 topics
  • Introduction to image gradients
  • First order derivative filters
  • Second order derivative filters
  • Edge detection
  • Image segmentation and recognition
  • Image classification
  • Object detection
Unit 4 notes
Unit 5 Applications of Computer Vision 4 topics
  • Gesture recognition
  • Motion estimation and object tracking
  • Face detection
  • Deep learning with OpenCV
Unit 5 notes
Read the full syllabus

Exam insights

Counted from 3 past AL-701 papers.

Marks asked per paper, by unit

  • Unit 1 Introduction to computer vision 19 marks
  • Unit 2 Binary Image Processing 19 marks
  • Unit 3 Image Enhancement and Filtering 30 marks
  • Unit 4 Introduction to Image Gradients 16 marks
  • Unit 5 Applications of Computer Vision 19 marks

Average marks of the questions from each unit in one paper. You answer only some of them, so the total is more than the paper’s maximum.

Asked again and again

  1. Explain what computer vision is and how it differs from traditional image processing, with examples.

    Asked 2 times: 2025, 2023

  2. Explain data type conversion in digital image processing, including mathematical operations on images, OpenCV example, and impact on image quality and storage.

    Asked 2 times: 2025, 2023

Other 7th semester AIML subjects