Machine Vision - Accessories

Part Number	Description / PDF	Quantity
V430-WE-5M Omron Automation & Safety Services	CBL, M12 TO RJ45, 5M	4
CCS-DF-LDR-70 Omron Automation & Safety Services	DIFFUSER	0
FQ-WN005 Omron Automation & Safety Services	ETHERNET CABLE, 5M	2
98-9000129-01 Omron Automation & Safety Services	KIT,P,MICROHAWK 30,40, EXTERNAL	1
ZFX-XC3A Omron Automation & Safety Services	CAMERA EXTENSION CABLE 3M	1
CCS-R64-30 Omron Automation & Safety Services	M30 LENS SHARPCUT FILTER	0
V430-ALI Omron Automation & Safety Services	KIT, IR LED, F/V4XX	0
FJ-VSG 10M Omron Automation & Safety Services	FJ GIGE NETWORK CABLE 10M	0
FQ-VP2002 Omron Automation & Safety Services	I/O CABLE FOR FQ-SDU2, 2M	0
FLV-DR9000DF Omron Automation & Safety Services	DIFFUSER FOR FLV-DR9000	0
FL-XC5R Omron Automation & Safety Services	FL ROBOTIC EXTENSION CABLE 5M	0
CCS-V44-27 Omron Automation & Safety Services	BLUE BANDPASS FILTER 27MM	0
V420-WU8X-1M Omron Automation & Safety Services	CBL, DB15 TO USB/IO, EXT PWR	0
FZ-VPX 5M Omron Automation & Safety Services	FZ PAR I/O CBL TO TEM BLOCK 5M	0
V509-W016 5M Omron Automation & Safety Services	CABLE COMMUNICATION 5.0M	0
FLV-BR38037DF Omron Automation & Safety Services	DIFFUSER FOR FLV-BR38037	0
CCS-FCB-W Omron Automation & Safety Services	24VDC 2 BRANCH LT CABLE	0
3Z4S-MDF-DR31 Omron Automation & Safety Services	DIFFUSION PLT 3Z4S-LTMDRLCR31	0
V420-WUX-1M Omron Automation & Safety Services	CBL, DB15 TO USB, EXT PWR	0
V430-WQ-3M Omron Automation & Safety Services	CBL, M12-12 SKT TO M12 PLG, 3M	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

Type	Functional Characteristics	Application Examples
LED Lighting Systems	High-intensity, programmable wavelength, uniform illumination	Surface defect detection in electronics
Industrial Cameras	High-resolution CMOS/CCD sensors, variable frame rates	Automotive part dimension inspection
Optical Lenses	Fixed/focal length, anti-reflective coatings	Barcode reading systems
Image Acquisition Cards	High-speed data transfer, GPU acceleration support	Real-time food sorting systems
Vision Sensors	Integrated lighting, camera, and processor	Assembly 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

Parameter	Typical Range	Importance
Resolution	0.3MP - 50MP	Determines measurement precision
Frame Rate	5 - 1000 fps	Affects production line speed
Wavelength Range	360-1000nm	Material analysis capability
Depth of Field	5mm - 500mm	Working distance flexibility
IP Rating	IP54 - IP69K	Environmental 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

Manufacturer	Representative Product	Key Feature
Cognex	In-Sight 9802	AI-powered defect detection
Keyence	CV-X4 series	Multispectral imaging
Basler	ace acA2440-35uc	2448x2048 resolution at 35fps
NI (National Instruments)	Smart Camera IC-6020	Integrated 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.