Machine Vision - Accessories

Image Part Number Description / PDF Quantity Rfq
V400-W21-10M

V400-W21-10M

Omron Automation & Safety Services

COMMUNICATIONS CABLE

0

ANE12

ANE12

Panasonic

FINDER UNIT

0

V400-W23P 3M

V400-W23P 3M

Omron Automation & Safety Services

CABLE PLC SER PNP 3M

0

F150-VM 10M

F150-VM 10M

Omron Automation & Safety Services

CABLE VIDEO W/ADAPTER 10M

0

F160-VSR3 10M

F160-VSR3 10M

Omron Automation & Safety Services

10M F200/F300 CAMERA CABLE

0

98-9000026-01

98-9000026-01

Omron Automation & Safety Services

KIT PRESENTATION HS-21/HS-41X

0

ANPVC8105

ANPVC8105

Panasonic

CAMERA CABLE 5M

0

CCS-TBC-H6P-5

CCS-TBC-H6P-5

Omron Automation & Safety Services

CCS ILA 6 METER CABLE

0

CCS-PL-LDL-130X15

CCS-PL-LDL-130X15

Omron Automation & Safety Services

130X15MM POLARIZING LT PLATE

0

ANMX8303

ANMX8303

Panasonic

VGA MONITOR CBL W/O KEYPAD 3M

0

3Z4S-LT MAD-DR50

3Z4S-LT MAD-DR50

Omron Automation & Safety Services

DIFFUSING FILTER FOR MDRL-C*50

0

FZ-MEM1G

FZ-MEM1G

Omron Automation & Safety Services

USB MEMORY (1G)

0

V400-W23P 5M

V400-W23P 5M

Omron Automation & Safety Services

CABLE PLC SER PNP 5M

0

ANM81303

ANM81303

Panasonic

COMM PRT-PLC W/FLYNG LDS CBL 3M

0

ANMX83312

ANMX83312

Panasonic

MONITOR CABLE 2M

0

V400-WM0 1M

V400-WM0 1M

Omron Automation & Safety Services

CABLE MONITOR VIDEO 1M

0

ANE8870

ANE8870

Panasonic

AE20 MOUNTING BRACKET

0

CCSSTU3000CABLE

CCSSTU3000CABLE

Omron Automation & Safety Services

CABLE FOR STU3000

0

ANM70131V2

ANM70131V2

Panasonic

VISION BACKUP TOOL VER. 2

0

3Z4S-LT M-RCB402L

3Z4S-LT M-RCB402L

Omron Automation & Safety Services

POWER CABLE

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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