Machine Vision - Accessories

Image	Part Number	Description / PDF	Quantity	Rfq
	98-000270-03 Omron Automation & Safety Services	KIT PRESENTATION HS-21/HS-41X	0
	CCS-AD-LDR-90B Omron Automation & Safety Services	90MM RINGLIGHT DIFFUSER ADPT	0
	3Z4S-LT M-RCB401L Omron Automation & Safety Services	EXTENSION CABLE 4-PIN 1M	0
	3Z4S-LE SV-EXR15 Omron Automation & Safety Services	EXTENSION TUBE	0
	V530-LG2R1C Omron Automation & Safety Services	8FT. COILED CABLE RS232 W/PS	0
	3Z4S-LE ML-EXR10 Omron Automation & Safety Services	EXTENSION TUBE	0
	98-9000009-01 Omron Automation & Safety Services	BASE STATION CHARGING	0
	F500-UM2ME Omron Automation & Safety Services	F500 FIRMWARE W/MACRO FUNCTION	0
	CCS-DF-LDR-70A Omron Automation & Safety Services	70MM DIFFUSER	0
	F160-VSR4 3M Omron Automation & Safety Services	F160 CAMERA CABLE	0
	F150-VKP 2M Omron Automation & Safety Services	CABLE NS TO VISION PROG 2M	0
	CCS-SC4 Omron Automation & Safety Services	CCS LIGHTING CABLE	0
	F150-VS 25M Omron Automation & Safety Services	CABLE CAMERA 25M	0
	3Z4S-LE ML-EXR15 Omron Automation & Safety Services	EXTENSION TUBE	0
	FZD-CBM Omron Automation & Safety Services	3D CAM BASE PLATE MED-DIST	0
	3Z4S-LE ML-1.5X Omron Automation & Safety Services	VISION SENSOR	0
	FIS-210-0004G Omron Automation & Safety Services	210 CONN. WITHOUT DISPLAY+ETN	0
	FZ-VS2 15M Omron Automation & Safety Services	LONG-DISTANCE CAMERA CABLE,15M	0
	3Z4S-LE ML-EXR Omron Automation & Safety Services	EXTENSION TUBES SET OF 7	0
	V400-W21-10M Omron Automation & Safety Services	COMMUNICATIONS 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

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.