Vision Sensors Information
Vision sensors (a.k.a. machine vision or vision systems) are products consisting of a video camera, display and interface, and computer processor to automate industrial processes and decisions. These are commonly used for measurement, pass/fail decisions, and other observable characteristics relating to product quality. When the camera has an integral processor, it is called a smart camera.
Vision Sensor Operation
Machine vision systems provide data interchange between a video camera and computer-based software. The images captured are compared against criteria specified by the operator to determine subsequent actions. This criteria can be based on barcodes, blot/stain detection, sizing and alignment, and a variety of other characteristics that can be determined solely by non-contact examination. Vision sensors are particularly helpful when multiple features must be inspected on the product. There is usually some degree of tolerance for each article. Vision sensors are considerably quicker and more accurate than humans employed for the same task.
Image credit: High-Tech Digital
Tasks of machine vision systems include, but are not limited to, the following:
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High-speed product inspection (quality control)
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Measurement
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Counting
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Sorting
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Locating
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Decoding
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Robot guidance
Multiple jobs can be performed simultaneously and are commonly achieved by the software's identification of one or more of the following when placed in the camera's field of view.
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Shape, pattern, or color
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Object detection, including object geometry and assembly
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Alignment
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Barcode or alphanumeric symbol recognition (OCR)
Quality imaging of the processes is essential for accurate analysis. Lenses, mounting and lighting are important, unless the camera selected is designed to overcome some environmental shortcomings (e.g. low light cameras). For certain applications 3D, infrared, linescan, or ultraviolet imaging may be required.
Microscan Systems, a machine vision systems manufacturer, has produced a video series in regards to machine vision. Their section on the components of vision sensors and their influence on machine accuracy is particularly informative.
Video credit: Microscan Systems / CC BY-SA 4.0
Vision Sensor Disadvantages
While the benefits of machine vision sensors are substantial, the disadvantages of machine vision can be prohibitive. Machine vision systems are unable to cope with unforeseen circumstances and input. While ultimately cost-saving, high development costs can be expected for installation and personnel training. Constant levels of appropriate illumination can be difficult to maintain, and cameras can have difficulties isolating products in congested environments.
Vision Sensor Features
Vision Sensor Mounting
Cameras in vision sensors are exposed to the production process, and are susceptible to damage or corruption. Hardened camera cases and lens are available to protect cameras from loss. Most cameras in vision sensors are mounted permanently to ensure the camera records the proper field of view. Brackets, arm mounts, and vibration resistant mounts are all acceptable means of camera placement. Typically, two connection points are sufficient between the camera and the support.
Computer workstations for a manufacturing environment are kept away from machinery to reduce risk to the expensive interface. These include dust-resistant designs, translucent acrylic or polycarbonate housings, and lockable cabinets. Connectivity between the camera and computer is facilitated by wired links like Camera Link, FireWire, USB, Ethernet, or composite cable. Wireless connections are supplied via the Internet, or other type of LAN (e.g. ZigBee).
Camera Options
These specifications are often optional on video cameras, but depending on the implementation of the vision sensor they could enhance image quality in atypical recording situations.
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Vision Sensor Applications
The advantages of vision sensors are considerable, and many processes that involve a human inspection can utilize vision sensors to maximum efficiency. Industries already employing machine vision systems include food packaging and beverage bottling; automotive, electronics, and semiconductor assembly; and pharmaceutical companies. Common tasks for machine vision include robot guidance, pick-and-place processes, and counting. Railroad companies use machine vision for hi-rail automated rail inspection. Children's toy manufacturer Lego® produces toy kits that utilize low-power vision sensors for scale-model machine vision capabilities.
Bottle inspection; Hi-rail inspection
Images credits: PCO AG; Florida DOT
Resources
Wikipedia - Machine vision; Computer vision
Microscan - Machine Vision Technology
Pharm Pro - Using Vision to Your Advantage
University of Illinois at Urbana-Champaign - Machine-Vision Inspection of Railroad Track
Quality Digest - Opening New Doors with Color Machine Vision; The Future of Machine Vision
National Instruments - What is NI LabVIEW?
Image credits:
Astrosurf | Apstas | Tony Rogers | Thermo Scientific | JW Fisers | Automation World
- 10 bits
- 12 bits
- 14 bits
- 8 bits
- Alignment
- Anti-blooming
- Bar / Matrix Code
- Board Mount
- C-Mount
- CCD
- CID
- CMOS
- CS-Mount
- Color
- Color Mark / Color Recognition
- Cooled Sensor
- Edge Detection
- Electronic Shutter
- Ethernet
- External Trigger Input
- F-Mount
- Gain Control
- Gamma Correction
- High Speed
- IEEE 1394 (FireWire®)
- Image Direction
- Integrated Optical Probe
- Line Scan
- Low Light
- Monochrome
- NTSC
- Object Detection
- Object Measurement
- Object Position
- Optical Character Recognition (OCR)
- PAL
- Progressive Scan
- RS232
- RS422
- S-Mount
- USB
- rain sensor
- CCD array sensor
- infrared CCD sensor
- pan tilt positioner
- incoming inspection
- industrial vision sensors
- line CMOS sensor
- color vision sensors
- ethernet vision camera
- industrial speed control potentiometer
- vision sensor USB
- automotive night vision sensors
- CMOS night vision sensors
- dynamic vision sensors
- object recognition sensor