Machine Vision - Accessories

Image Part Number Description / PDF Quantity Rfq
3Z4S-LE SV-EXR40

3Z4S-LE SV-EXR40

Omron Automation & Safety Services

EXTENSION TUBE

0

F160-DU

F160-DU

Omron Automation & Safety Services

VIDO MUX UNIT F160

0

V400-W23 3M

V400-W23 3M

Omron Automation & Safety Services

CABLE PLC SER NPN 3M

0

61-000224-03

61-000224-03

Omron Automation & Safety Services

HS-21/41-2G RS232 CBL 8FT

0

F150-VM 20M

F150-VM 20M

Omron Automation & Safety Services

CABLE VIDEO W/ADAPTER 20M

0

F500-VS2 2M

F500-VS2 2M

Omron Automation & Safety Services

CAMERA CABLE 2M

0

ANMX8300

ANMX8300

Panasonic

VGA MONITOR W/ KEYPAD .5M

0

F160-VSR3 25M

F160-VSR3 25M

Omron Automation & Safety Services

F160 CAMERA CABLE 25M

0

ML-EXR100

ML-EXR100

Omron Automation & Safety Services

VISION SENSOR MORITEX

0

3Z4S-LE ML-2X

3Z4S-LE ML-2X

Omron Automation & Safety Services

VISION SENSOR

0

ANM84017ACE

ANM84017ACE

Panasonic

EXTENSION CAMERA CABLE 17M

0

ML-2.5X

ML-2.5X

Omron Automation & Safety Services

VISION SENSOR MORITEX

0

V400-W23P 15M

V400-W23P 15M

Omron Automation & Safety Services

CABLE PLC SER PNP 15M

0

FQ-D31

FQ-D31

Omron Automation & Safety Services

TOUCH FINDER AC/DC/BATTERY

0

ANMX833020CE

ANMX833020CE

Panasonic

COLOR CAMERA CABLES 20M

0

ANPD068-G1

ANPD068-G1

Panasonic

GUIDE PIPE FOR PD65

0

3Z4S-LE ML-EXR2

3Z4S-LE ML-EXR2

Omron Automation & Safety Services

EXTENSION TUBE

0

ANM84303CE

ANM84303CE

Panasonic

D.S. RANDOM CAMERA CABLE 3M

0

F500-UM3ME

F500-UM3ME

Omron Automation & Safety Services

APPLICATION SOFTWARE (MACRO)

0

F500-VS2 5M

F500-VS2 5M

Omron Automation & Safety Services

CAMERA CABLE 5M

0

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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