Machine Vision - Accessories

Image Part Number Description / PDF Quantity Rfq
2408-009-152-00

2408-009-152-00

Excelitas Technologies

RETRO RING M37X0.75-M45X0.75

2

ZFV-XMF

ZFV-XMF

Omron Automation & Safety Services

ZFV SENSRHEAD MOUNTING BRACKET

8

331863

331863

Excelitas Technologies

MVS-25 DOLANJENNER 1.0" DIA NOSE

3

0703-107-824-00

0703-107-824-00

Excelitas Technologies

INSPEC.X L PRISM MODULE

3

2408-009-113-00

2408-009-113-00

Excelitas Technologies

EXTENSION TUBE MODULAR FOCUS 25M

4

VELC60-PC

VELC60-PC

Banner Engineering

VE LENS COVER IP67 60MM

1

ZS-XCN

ZS-XCN

Omron Automation & Safety Services

CONTROLLER LINK UNIT

2

99-9000016-01

99-9000016-01

Omron Automation & Safety Services

QX PHOTO SENSR,M12 DRK ON,2M

1

2408-009-112-00

2408-009-112-00

Excelitas Technologies

LENS ADAPTER M39X1/26"*

9

2408-009-111-00

2408-009-111-00

Excelitas Technologies

LENS ADAPTER M32.5X0.5

19

LEDBW

LEDBW

Banner Engineering

REPLACEMENT WINDOW RED BACKLIGHT

16

ZFX-CN

ZFX-CN

Omron Automation & Safety Services

ZFX DC POWER CONNECTOR

2

2408-021-110-00

2408-021-110-00

Excelitas Technologies

EXTENSION TUBE SMART FOCUS 48MM

3

BAM00WN

BAM00WN

Balluff

VERSION=MOUNTING BRACKETS, APPLI

18

V430-WE-5M

V430-WE-5M

Omron Automation & Safety Services

CBL, M12 TO RJ45, 5M

4

CCS-DF-LDR-70

CCS-DF-LDR-70

Omron Automation & Safety Services

DIFFUSER

0

2408-009-106-00

2408-009-106-00

Excelitas Technologies

CAMERA ADAPTER C-MOUNT

4

FQ-WN005

FQ-WN005

Omron Automation & Safety Services

ETHERNET CABLE, 5M

2

98-9000129-01

98-9000129-01

Omron Automation & Safety Services

KIT,P,MICROHAWK 30,40, EXTERNAL

1

PSDINA-24

PSDINA-24

Banner Engineering

SPECIAL LIGHTS POWER SUPPLY 24 V

2

Machine Vision - Accessories

1. Overview

Machine vision accessories are critical components in industrial automation systems that enable machines to capture, process, and analyze visual data. These accessories include lighting systems, lenses, cameras, image sensors, and processing units. They play a vital role in quality control, precision measurement, object recognition, and robotic guidance. Modern manufacturing and logistics rely heavily on these systems for increased efficiency, accuracy, and cost reduction.

2. Major Types and Functional Classification

TypeFunctional CharacteristicsApplication Examples
LED Lighting SystemsHigh-intensity, programmable wavelength, uniform illuminationSurface defect detection in electronics
Industrial CamerasHigh-resolution CMOS/CCD sensors, variable frame ratesAutomotive part dimension inspection
Optical LensesFixed/focal length, anti-reflective coatingsBarcode reading systems
Image Acquisition CardsHigh-speed data transfer, GPU acceleration supportReal-time food sorting systems
Vision SensorsIntegrated lighting, camera, and processorAssembly line presence verification

3. Structure and Components

Typical configurations include:

  • Lighting Units: Aluminum housing with LED arrays, cooling fins, and optical diffusers
  • Cameras: Contains image sensor (CMOS/CCD), Bayer filter, and onboard processor
  • Lenses: Multi-element glass optics with C-mount or S-mount interfaces
  • Processing Units: FPGA-based controllers with GigE Vision/USB3.0 interfaces

4. Key Technical Specifications

ParameterTypical RangeImportance
Resolution0.3MP - 50MPDetermines measurement precision
Frame Rate5 - 1000 fpsAffects production line speed
Wavelength Range360-1000nmMaterial analysis capability
Depth of Field5mm - 500mmWorking distance flexibility
IP RatingIP54 - IP69KEnvironmental protection

5. Application Fields

  • Automotive: Weld seam inspection, part orientation
  • Electronics: Solder paste inspection (SPI), component alignment
  • Pharmaceutical: Pill counting, label verification
  • Logistics: Package dimensioning, barcode reading

6. Leading Manufacturers and Products

ManufacturerRepresentative ProductKey Feature
CognexIn-Sight 9802AI-powered defect detection
KeyenceCV-X4 seriesMultispectral imaging
Baslerace acA2440-35uc2448x2048 resolution at 35fps
NI (National Instruments)Smart Camera IC-6020Integrated LabVIEW processing

7. Selection Recommendations

Key considerations:

  • Match resolution to minimum detectable defect size
  • Select lighting wavelength based on target material reflectivity
  • Ensure environmental ratings meet factory conditions (dust/water resistance)
  • Verify interface compatibility (GigE Vision, Camera Link, etc.)
  • Evaluate processing requirements vs. system throughput needs

8. Industry Trends Analysis

Emerging developments include:

  • AI integration with embedded deep learning algorithms
  • 3D vision systems using structured light and time-of-flight
  • Edge computing for real-time decentralized processing
  • Standardized plug-and-play interfaces (VSIA compliance)
  • Hyperspectral imaging for material composition analysis

Market forecasts predict a CAGR of 8.2% from 2023-2030, driven by smart manufacturing adoption.

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