MACHINE VISION SYSTEM IN
By:Akshay Dhole (13MMT1013)
Mechatronics
Seminar Topic
Machine vision Block diagram:
What is Machine Vision?
LightingTechniques to make part look
its best
Components of a Machine Vision
System
Field of View
Communications
Send decisions to
other devices
Part:Good# Caps: 1
Image AcquisitionCamera taking a
picture
Vision ToolsEvaluate the
picture
Image Acquisition:Imager
Microchip that converts light energy into a digital information (pixels)
CCD & CMOS are most common imager types
PixelsThe smallest piece of a digital image
Camera Resolution is measured in pixels– 640 x 480 or 0.3 Megapixels– 1600 x 1200 or 2.5 Megapixels
Field of View
Parts
480
1200
640 1600
Pixel Resolution:0.3
Megapixel640 X 480
2.5 Megapixel1600 X 1200
Factors affecting Image: Light Intensity Direction Focal length Object distance Imager type (CCD or CMOS) Dark Image calibration Image filtering
Lighting sources:
HalogenFluorescent
LED
1. Part arrives at inspection station
2. Proximity or Photo sensor detects part & sends trigger to vision sensor
3. Part is illuminated
4. Image is acquired and digitized
5. Vision software processes image and analyzes part as Good or Bad
6. Discrete output activates reject diverter if part is Bad
7. Display shows operator rejected parts and production statistics
GoodBad
Industry Layout:
Processing
Material Handling
Packaging
Bottling
Applications of MV in food and beverages
MV
Bottling &
Labeling
Product
Safety
Product
Trace-ability
Material
Handling
Quality
Control
1. Quality Control:- Food
Problems:- Wrong pie in
wrapper- Damaged pies
Solution:- Color vision
sensors installed- Quality inspection
for damaged pies
Good Pie Coated with gaps in shell
Coated with gap in shell
Uncoated with holes
Beverages:-
Problems:- Liquid in bottles not
consistent in color- Matched labels
Solution:- DVT color vision
sensor- Color monitoring of
liquid color
2. Bottling, labeling & thread inspection:
Problem:- Need to verify cap &
tightened correctly- Check safety ring
Solution:- Gauging tool in vision
sensor measures distance from neck to top of the cap
- Verifies safety ring
Computes dimensions of:
- Hole diameter- Label length- Distance and
angle
3. Product Safety:Label Quality check
Problem: - Label missed or torn - Label might have ‘flag’, if not applied fullySolution: - Measure label to check for torn, missing or skew labels - Elimination of ‘flag’
PC Vision Sees the Entire Product:
VerifyProduct Size
ReadBar Code
InspectLabel Seam
4. Product traceability:-Can code verification
-Can Code verification system installed.
- For no cans should be mislabeled.
BAR code reading and grading
2D matrix code reading
OCR/ OCV- Optical Character recognition- Optical character verification
5. Material Handling:- Locating the product conveyer and
placing into the boxes- Vision sensor provides robotic
guidance
Advantages:
Lower capital costs Increased productivity Faster time to market Lower production costs Reduced scrap / rework Increased customer satisfaction Improved brand image
Animation of machine vision:
Machine Vision System India - DS1000 Sensor.MP4
Thank You