Machine Vision - Accessories

Image Part Number Description / PDF Quantity Rfq
FQ-WD010

FQ-WD010

Omron Automation & Safety Services

I/O CABLE, 10M

2

AP18SCN

AP18SCN

Banner Engineering

APERTURE KIT FOR T18 SERIES

18

P4RE67-G

P4RE67-G

Banner Engineering

PRESENCEPLUS P4 ENCLOSURE KIT<BR

2

2408-009-158-00

2408-009-158-00

Excelitas Technologies

RETRO RING M40.5X0.5 - M39

7

BAM02P7

BAM02P7

Balluff

VERSION=MOUNTING BRACKETS, APPLI

3

2408-021-108-00

2408-021-108-00

Excelitas Technologies

EXTENSION TUBE SMART FOCUS 12MM

2

V430-WE-3M

V430-WE-3M

Omron Automation & Safety Services

CBL, M12 TO RJ45, 3M

5

329152

329152

Excelitas Technologies

MVS-30 FILTER HOLDER

3

VELC60-BG

VELC60-BG

Banner Engineering

VE LENS COVER IP67 60MM

1

ZFV-XC3BV2

ZFV-XC3BV2

Omron Automation & Safety Services

ZFV STD EXT CABLE 3M

2

FQ-WN002

FQ-WN002

Omron Automation & Safety Services

ETHERNET CABLE, 2M

1

98-9000041-01

98-9000041-01

Omron Automation & Safety Services

KIT,L BKT,MICROHAWK

5

ZFX-XTB

ZFX-XTB

Omron Automation & Safety Services

TERMINAL BLOCK (SPARE PART)

1

APG18S

APG18S

Banner Engineering

APERTURE KIT FOR S18/M18/T18

13

2408-009-148-00

2408-009-148-00

Excelitas Technologies

CAMERA ADAPTER M48X0.75

5

RDM35

RDM35

Banner Engineering

IVU REMOTE 3.5" DISPLAY

3

324394

324394

Excelitas Technologies

MVS-24 VOLPI 0.59" DIA NOSEPIECE

3

AP18SC

AP18SC

Banner Engineering

APERTURE KIT FOR S18/M18

10

V430-W8-5M

V430-W8-5M

Omron Automation & Safety Services

CBL, M12 TO FLY LDS, 5M

8

VELC85-BG

VELC85-BG

Banner Engineering

VE SERIES SEALED IP67 LENS COVER

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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