Machine Vision - Accessories

Image Part Number Description / PDF Quantity Rfq
V530-LG2ROUTCE

V530-LG2ROUTCE

Omron Automation & Safety Services

POCKETPC ROUTER SOFTWARE

0

CCS-NFCB3

CCS-NFCB3

Omron Automation & Safety Services

CONTROL CABLE PHONO JACK

0

CCS-PL-LDR-120-40

CCS-PL-LDR-120-40

Omron Automation & Safety Services

POLIZER

0

3Z4S-MAD-DR31

3Z4S-MAD-DR31

Omron Automation & Safety Services

ADAPTER PLT 3Z4S-LTMDRLCR31

0

FLV-BR21222DF

FLV-BR21222DF

Omron Automation & Safety Services

DIFFUSER FOR FLV-BR21222

0

ZFX-KP 5M

ZFX-KP 5M

Omron Automation & Safety Services

CONSOLE 5M

0

FLV-DL12060DF

FLV-DL12060DF

Omron Automation & Safety Services

DIFFUSER FOR FLV-DL12060

0

CCS-CB-W

CCS-CB-W

Omron Automation & Safety Services

12VDC 2 BRANCH LT CABLE

0

V430-ALBR

V430-ALBR

Omron Automation & Safety Services

KIT, BLUE LED, RING LT, F/V430

0

ANM85202CE

ANM85202CE

Panasonic

A100/200 SERIES KEYPAD 2M

0

ANPD068-03

ANPD068-03

Panasonic

CABLE FOR PD60

0

F150-KP 5M

F150-KP 5M

Omron Automation & Safety Services

CONSOLE W/5M CABLE

0

3Z4S-LE SV-EXR10

3Z4S-LE SV-EXR10

Omron Automation & Safety Services

EXTENSION TUBE

0

ANB84805

ANB84805

Panasonic

5MM MIDDLE RING

0

V400-W23P 10M

V400-W23P 10M

Omron Automation & Safety Services

CABLE PLC SER PNP 10M

0

ANPVC8210

ANPVC8210

Panasonic

CAMERA CABLE CAMERA 10M

0

ANPV3700

ANPV3700

Panasonic

PV300 CAMERA SWITCHING UNIT

0

ANMX8302

ANMX8302

Panasonic

VGA MNITR 2M JAPANESE MRKT ONLY

0

F160-VP

F160-VP

Omron Automation & Safety Services

2M PARALLEL I/O CABLE

0

F150-KP

F150-KP

Omron Automation & Safety Services

CONSOLE

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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