Publication date : 04/11/2024

Course : Machine vision, the basics

Practical course - 2d - 14h00 - Ref. RWM
Price : 1310 € E.T.

Machine vision, the basics




Machine vision is booming in a variety of applications: presence control, aspect control, measurement, robot guidance, or 2D or 3D code reading. The image obtained is the basis of the entire program. This training course will help you understand the importance of the environment in camera decision-making.


INTER
IN-HOUSE
CUSTOM

Practical course in person
Disponible en anglais, à la demande

Ref. RWM
  2d - 14h00
1310 € E.T.




Machine vision is booming in a variety of applications: presence control, aspect control, measurement, robot guidance, or 2D or 3D code reading. The image obtained is the basis of the entire program. This training course will help you understand the importance of the environment in camera decision-making.


Teaching objectives
At the end of the training, the participant will be able to:
Understand the basic principles of machine vision
Determine the role of the various components
Use software environment functions
Determine the influence of certain control parameters
Defining the right lighting

Intended audience
Operators, set-up personnel, technicians, occasional workers, anyone wishing to learn the basics of machine vision.

Prerequisites
No special knowledge required.

Practical details
Hands-on work
Demonstrations and practical exercises on a machine vision simulator.
Teaching methods
This course can be delivered in-house on a real vision system, subject to logistical conditions.

Course schedule

1
Vision principles

  • The nature of light: reminders of physics and optics (electromagnetic waves, frequency, etc.).
  • How can a vision system be used?

2
How a vision system works

  • Role and principle of components.
  • Advantages and constraints of use.
  • Lighting sources: nature and positioning.

3
Feasibility study, approach to specifications

  • CCD and CMOS sensors, choice and performance.
  • Optical mechanics: diaphragm, focal length, depth of field.
  • Calculation method for sensor and lens selection.
Hands-on work
Setting up a vision station and testing the influence of optical mechanics without affecting software settings.

4
Software processing

  • Principle of image acquisition.
  • Image processing.
  • The main acquisition parameters: speed, gain, contrast, trigger, delay, white balance, etc.
Hands-on work
Case studies using vision software (and its settings) and different light sources, independently or with the trainer.