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