Editorial Technical Reference

Vision/Positioning System

This page explains how Vision/Positioning System is classified within Machinery and Equipment Manufacturing. Technical values and manufacturer relationships are research references; confirm the current specification and supplier evidence for each order.

Technical Definition & Core Assembly

A vision-based system that identifies, locates, and guides the robot's clamping and handling operations.

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Product Specifications

Technical details and manufacturing context for Vision/Positioning System

Definition
The Vision/Positioning System is a critical component of the Core Clamping and Handling Robot. It integrates cameras, sensors, and processing software to visually identify target objects, determine their precise position and orientation in 3D space, and provide real-time coordinate data to the robot's control system. This enables accurate, adaptive, and automated picking, placing, and manipulation tasks. The system is designed for industrial environments, with an aluminum alloy housing, optical glass lenses, silicon sensor chips, and PCB-based electronics. It operates within a temperature range of 0–50 °C and offers ingress protection ratings from IP54 to IP65, making it suitable for dusty and wet conditions. The system's resolution ranges from 0.01 to 0.1 mm, allowing detection of fine features. Its field of view spans 50–500 mm, and the working distance is 100–1000 mm. Positioning accuracy is specified as ±0.02 to ±0.1 mm, referencing ISO 9283 for repeatability testing. Cycle time for a full detection and guidance cycle is 0.5–2.0 seconds. The system requires a 24 V DC supply (±10%) and consumes 15–60 W depending on camera and lighting configuration. Communication interfaces include Ethernet/IP and PROFINET, conforming to IEC 61158, for integration with PLCs and robot controllers. The combined weight of the camera head and controller is 1.5–5.0 kg. Lighting operates in the visible spectrum at 450–650 nm. These parameters are reference ranges; actual values must be confirmed with the manufacturer for specific models and applications. The system is a component, not a standalone product, and its performance depends on proper integration and calibration.
Working Principle
The system captures images of the workspace using industrial cameras. Image processing algorithms analyze these images to detect target objects based on features like shape, color, or markers. Using techniques such as stereo vision or laser triangulation, it calculates the object's precise 3D coordinates (X, Y, Z) and rotation. This positioning data is then transmitted to the robot's controller to guide the end-effector's movement for precise clamping and handling.
Common Materials
Aluminum Alloy (housing), Optical Glass (lenses), Silicon (sensor chip), PCB (circuit board)
Technical Parameters
ParameterTypical rangeNotes & selection driver
Resolution0.01–0.1 mmDetermines minimum detectable feature size
Field of View50–500 mmArea covered by camera at working distance
Working Distance100–1000 mmDistance from lens to object
Positioning Accuracy±0.02–±0.1 mmOverall system repeatabilityISO 9283
Cycle Time0.5–2.0 sTime for one full detection and guidance cycle
Operating Temperature0–50 °CAmbient temperature range for reliable operation
Ingress ProtectionIP54–IP65Protection against dust and water jetsIEC 60529
Supply Voltage24 ±10% V DCStandard industrial power supply
Power Consumption15–60 WDepends on camera and lighting configuration
Communication InterfaceEthernet/IP, PROFINETFor integration with PLC and robot controllerIEC 61158
Weight1.5–5.0 kgCamera head and controller combined
Lighting Wavelength450–650 nmVisible light range for standard applications

Ranges are indicative industry figures for RFQ preparation, not a supplier commitment. Confirm every value and standard with the legal manufacturer before ordering.

Components / BOM
  • Industrial Camera
    Captures high-resolution images of the target objects and workspace.
    Material: Aluminum housing, optical glass lenses, silicon sensor
  • Vision Processing Unit
    Runs image processing algorithms to identify objects and calculate their position.
    Material: PCB, silicon chips (CPU/GPU)
  • Lighting Module
    Provides consistent, controlled illumination to ensure clear image capture under varying conditions.
    Material: LED array, aluminum housing, polycarbonate diffuser
  • Lens Part
    Focuses light onto the camera sensor to form a clear image.
    Material: Optical glass, brass barrel

Applied To / Applications

This component is essential for the following industrial systems and equipment:

Industrial Ecosystem & Supply Chain Structure

Complementary Systems
Downstream Applications
Specialized Tooling

Application Fit & Sizing Matrix

Operational Limits
pressure: Atmospheric pressure only (non-pressurized system)
other spec: Maximum object velocity: 2 m/s, Minimum feature size: 0.5 mm, Lighting conditions: 500-2000 lux recommended
temperature: 0°C to 50°C operating range
Media Compatibility
✓ Metal components (steel, aluminum) ✓ Plastic injection molded parts ✓ Electronic circuit boards
Unsuitable: High-vibration environments (e.g., near heavy machinery without isolation)
Sizing Data Required
  • Maximum object dimensions (L x W x H)
  • Required positioning accuracy (mm)
  • Cycle time requirements (parts per minute)

Reliability & Engineering Risk Analysis

Failure Mode & Root Cause
Lens Contamination
Cause: Accumulation of dust, oil mist, or debris on optical surfaces, often due to inadequate sealing or environmental exposure in industrial settings.
Sensor Calibration Drift
Cause: Gradual misalignment or loss of accuracy from thermal cycling, mechanical vibration, or component aging affecting positioning precision.
Maintenance Indicators
  • Inconsistent or erratic positioning readings during operation
  • Visible fogging, smudges, or particulate buildup on camera lenses or optical windows
Engineering Tips
  • Implement regular preventive cleaning schedules using approved optical-grade materials and ensure environmental controls (e.g., air filtration, positive pressure enclosures) to minimize contamination.
  • Establish a routine calibration verification program using traceable standards, and monitor system performance trends to schedule recalibration before critical drift occurs.

Indicative industry ranges for design and RFQ preparation. Confirm the exact figures and applicable standard with the manufacturer before specifying.

Compliance & Manufacturing Standards

Applicable Standards
ISO 10360-2:2009 - Acceptance and reverification tests for coordinate measuring machines (CMMs) ANSI/ASME B89.1.12 - Methods for Performance Evaluation of Coordinate Measuring Systems DIN 32877:2019 - Optical 3D measuring systems - Acceptance and reverification tests

Quoted from the published standard.

Manufacturing Precision
  • Positioning Accuracy: +/-0.005 mm
  • Repeatability: +/-0.002 mm
Quality Inspection
  • MTF (Modulation Transfer Function) Test for optical resolution
  • Environmental Vibration/Shock Testing for operational stability

Manufacturers of Vision/Positioning System

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Frequently Asked Questions

What is the typical resolution range of the Vision/Positioning System?

The resolution is specified as 0.01 to 0.1 mm, which determines the minimum detectable feature size. The actual resolution depends on the camera and lens configuration; verify with the manufacturer for your specific model.

What communication interfaces does the system support?

The system supports Ethernet/IP and PROFINET, conforming to IEC 61158. These interfaces allow integration with PLCs and robot controllers. Confirm compatibility with your existing control system.

What is the operating temperature range?

The system is designed to operate reliably in ambient temperatures from 0 to 50 °C. Ensure the installation environment stays within this range to avoid performance degradation.

How is positioning accuracy defined?

Positioning accuracy is given as ±0.02 to ±0.1 mm, referencing ISO 9283 for repeatability. This is an overall system specification; actual accuracy depends on calibration and environmental factors.

Data Basis

Editorial classification, named public sources where available, and source-reviewed manufacturer records.

Preliminary Technical Classification
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