Course title
1M5166001
Advanced Image Processing Applications in Robotics

 premachandra chinthaka Click to show questionnaire result at 2018
Course content
This subject focuses related technologies regarding the application of image processing on robotics. The main contents are as below.
・Basic image processing and object detection from images.
・Image processing by hardware.
・Camera based system design.
Purpose of class
Camera based systems have been applied in robotics, car electronics and so on. Generally, these systems have been designed to make actions following the results from on-board camera image processing. This subject is to grant knowledge of designing these kinds of camera based systems.
Goals and objectives
  1. Understanding basics of image processing and object detection
  2. Experiencing image processing by Raspberry pi hardware
  3. Experiencing system design by Raspberry pi hardware and a camera and various sensors
Language
Japanese
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1． Guidance Searching the structure of a digital image 200minutes
2． Basics of image processing 1
・Digital image strucuture
・Grayscalling
・Binarization 		C++，Python 200minutes
3． Basics of image processing 2
・Average filter
・Median filter
・Gaussian filter 		C++，Python 200minutes
4． Object detection from image 1
・Edge detection
・Line detection
・Circle detection 		C++，Python 200minutes
5． Object detection from image 2
・Usage of open CV
・Object detection using open CV 		C++，Python 200minutes
6． Explanation of Raspberry Pi
・Usage as a general computer
・Application to system design 		C++，Python 200minutes
7． Signal processing by Raspberry Pi 1
・LED blinking circuit design
・Various sensor signal processing 		Python 200minutes
8． Signal processing by Raspberry Pi 2
・Various sensor signal processing 		Python 200minutes
9． Image processing with Raspberry Pi designated camera 1
・Camera setting
・Processing images from designated camera 		Python 200minutes
10． Image processing with Raspberry Pi designated camera 2
・Usage of open CV designated camera 		Python 200minutes
11． System design using Raspberry Pi designated camera 1
・ Systems to make actions following the results from the camera image processing 1 		Python/Electrical circuits 200minutes
12． System design using Raspberry Pi designated camera 2
・ Systems to make actions following the results from the camera image processing 2 		Python 200minutes
13． System design using Raspberry Pi designated camera and various sensors
・Camera-sensor integrated system design 		Python/Electrical circuits 200minutes
14． ・Presentation
・Final report 		Presentation 100minutes
Total. - - 2700minutes
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 Main evaluation is conducted on final report Total.
1. 30% 30%
2. 30% 30%
3. 40% 40%
Total. 100% -
Evaluation method and criteria
Assignment:60%, Final report 40%
Pass mark: 60
Textbooks and reference materials
Will be announced later
Prerequisites
Python，Basic electrical circuits
Students have to prepare own Raspberry pi hardware．
Office hours and How to contact professors for questions
  • Office hours: 10.40am-12.40pm Tuesday@ Toyosu Campus, room 10J30
    Mail to: chintaka@sic.shibaura-it.ac.jp
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
Active-learning course
Most classes are interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicatable
N/A N/A
Education related SDGs:the Sustainable Development Goals
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Fri Aug 07 04:06:57 JST 2020