Help with Machine Vision Systems specifications:
System Type
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System Type | |||
Your choices are... | |||
Embedded / Vision Engine | Embedded systems or vision engines are typically applied where a high-end system is required with one to several processors in a VME, CompactPCI or other form factors. | ||
Modular / PC-Based | Integration of complete, highly flexible vision systems from a selection of compatible modules such as cameras/imagers, lenses, computers/processors, frame grabber boards, image processing boards, image analysis software or illuminators. | ||
Turnkey / Complete System | Complete, off-the-shelve (COTS) vision systems with all of the required components to provide an application ready product. The unit does not require additional hardware such as a computer or cameras. | ||
Search Logic: | All products with ANY of the selected attributes will be returned as matches. Leaving all boxes unchecked will not limit the search criteria for this question; products with all attribute options will be returned as matches. | ||
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Specifications
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Inspection Rate | Number of images or parts that can be imaged or imaged & processed per unit time. Units inspections per minute or cycles per second. | ||
Search Logic: | All matching products will have a value greater than or equal to the specified value. | ||
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Product Speed | Presentation of the part to the camera or scanning speed across a product. Zero would indicate a stationary part during imaging. | ||
Search Logic: | All matching products will have a value greater than or equal to the specified value. | ||
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Number of Cameras or Imagers Processed | The number of cameras or image sources the machine vision system can handle. | ||
Search Logic: | User may specify either, both, or neither of the "At Least" and "No More Than" values. Products returned as matches will meet all specified criteria. | ||
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Processor Speed | The operating speed of the host or dedicated imaging processor. | ||
Search Logic: | All matching products will have a value greater than or equal to the specified value. | ||
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Data Storage: | The available hard drive, disc or tape storage area for raw or processed images or video. | ||
Search Logic: | All matching products will have a value greater than or equal to the specified value. | ||
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Applications / Capabilities
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Applications / Capabilities | |||
Your choices are... | |||
Alignment / Guidance | In web applications: Detection of edges and tracking of the edge to maintain guidance of the web or conveyor on the drive or idler rolls. In discrete manufacturing: detection of part geometry and guidance of robotic arms or other equipment to assure proper assembly. | ||
Assembly Quality | Provides verification that a product has been assembled to specifications; i.e., proper location, orientation and/or attachment of sub-components. | ||
Bar / Matrix Code | Detects and/or reads bar codes. | ||
Biotechnology or Medical | Systems with imaging or image processing capabilities specific to the biotechnology or medical industries such as capturing and processing genome data or imaging of cells, tissue samples, flora or fauna. | ||
Color Mark / Color Recognition | Recognition of differentiating colors or of specific color marks. | ||
Container or Product Counting | |||
Edge Detection | Detects object edge position and/or pitch. | ||
Electronics or Semiconductor Inspection | |||
Electronics Rework | Electronics rework stations allow repair of printed circuit boards. The rework stations typically will have capabilities for solder reflow & removal and surface mount device pickup and placement. | ||
Flaw Detection | Detection, grading or quantification of patterns or defects in regard to size, shape, number per unit area or frequency or over time. | ||
Food & Beverage | |||
Gauging, Scanning & Dimensioning | |||
ID Detection / Verification | Automatic product identification such as simple marks, Optical Character Recognition (OCR), SEMI T7 codes, barcode, datamatrix (DMx), color/label identification or magnetic stripe integrated into the vision system's capability. Also, verifying label presence/absence, correct position and label flaws (tears, ink blobs). | ||
Materials Analysis | Imaging systems are utilized for quantification of particulate or microstructural features such as grain, phase or particle size, length or aspect ratio, shape, orientation, percentages or chemical mapping. | ||
Non-contact Profilometry | The system is capable of measuring 2D or 3D surface profiles and determining parameters such as surface roughness average (Ra), average maximum profile height (Rz), waviness height (W), peak count (Pc) or bearing area or length ratio (tp) using imaging or another non-contact technique such as diffraction or holography. | ||
Optical Character Recognition (OCR) | Image Processing includes recognition of characters such as text, symbols, and numbers. | ||
Parcel / Baggage Sorting | Systems with capabilities for identifying, classifying and sorting parcels, packages, baggage or letters / mail. | ||
Pattern Recognition | System with capabilities for identifying pattern or shape information within captured images. | ||
Pharmaceutical Packaging | Detection of defects in the packaging of pharmaceutical products such as broken or crushed tablets or capsules, blisters dents, missing capsules or tablets, empty pockets, chips in tablets, over or under sized capsules or tablets, hair or other foreign matter, broken or missing caps, double caps or multiple doses in blister. | ||
Presence / Absence | |||
Production & Quality Control | Built-in quality control functions such as statistical process control, bar charts or for recording & tracking inspection data, material variations, alarm notifications & operator interventions and machine parameters by product or lot ID number. | ||
Seal Integrity | Detection of unsealed or partially sealed products (holes, gaps, cracks or leaks; off-set seals). | ||
Security & Biometrics | Security systems that detect and monitor the presence, absence or movement of equipment or personnel through automated image capture and processing. Biometric systems for OEM applications that utilize fingerprint, facial, retina or other human features to verify identification of personnel. | ||
Tool & Die Monitoring | Systems that monitor the geometry or condition of the dies or molds directly or the molded, cast or forged parts from these tools. | ||
Web Inspection | Detection and/or automatic identification of web or web coating patterns, defects or problems such as streaks, blurs, microscopic defects, smudges, fish eyes, coating pin holes, dirt spots, breaks, holes, sags or roll-related repeating defects. The webs inspected may be paper, coated abrasive, LCD, metal sheet, strip or foil, plastic film, rubber sheet, textile, non-woven or felt, gasketing, fibre, printed products, wallpaper or other materials. | ||
Other | |||
Search Logic: | All products with ANY of the selected attributes will be returned as matches. Leaving all boxes unchecked will not limit the search criteria for this question; products with all attribute options will be returned as matches. | ||
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Image Source Specifications
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Image Source: | The type of image source or imager that the system is capable of interfacing with. | ||
Your choices are... | |||
Area Scan Camera | Video camera which captures a two dimensional image. | ||
Line Scan Camera | Video camera that captures a one-dimensional image. Line scan cameras are useful in applications where the product is moving at high speeds as in web processing. | ||
High Speed / Brightness | Camera with faster exposure times or shutter speeds that allow imaging of high speed or high brightness objects that would appear as blurs or white screens on normal cameras | ||
Thermal or Infrared | Utilizes a thermal or infrared image for thermograph or temperature profiling, for night vision & security or for simplifying machine vision imaging. An object s pigmentation data can be eliminated by imaging in the near infrared, leaving the object's shape and texture information. In machine vision or image processing applications, simplifying the image to basic geometric shapes can greatly reduce processing requirements. | ||
Multi-spectral | Capable of imaging at visible or non-visible different wavelengths or spectra. An object's pigmentation data can be eliminated by imaging in the near infrared, leaving the object's shape and texture information. Multi-spectral imaging expands the camera's capability to distinguish different objects or image features that appear the same in the visible spectrum. Images captured at different wavelengths can be combined or subtracted to maximize information. Multi-spectral imaging techniques are particularly useful in imaging organics materials as found in the particle board, plywood, textile or food processing industries. | ||
Optical Microscope | Various light or optical microscopes such as binocular /stereoscopic, inspection or inverted microscopes / metallographs, video microscopes and interference, phase contrast or polarization microscopes. | ||
X-ray | X-ray inspection imaging sources such as X-ray computed tomography and digital radiography (CT & DR) are important methods of non-destructively testing, characterizing and accurately defining internal geometries of complex products and assemblies in industry. X-ray diffraction pattern images and x-ray topographic imaging can also be useful in determining crystal quality for semiconductor manufacturing processing. | ||
UV / Fluorescence | UV / Fluorescence microscopy is widely applied in imaging biological systems. | ||
Confocal Laser | Confocal technology employs a laser to deliver concentrated light to a specimen that is reflected back through the optical path to a small aperture, the confocal pinhole, and then to image sensor. The pinhole allows "optical sections" to be created that can be positioned anywhere within a specimen to provide a sharp image with a significantly higher resolution than a conventional microscope. The confocal system can combine multiple optical sections to produce a 3-dimensional image. Confocal laser microscopy is widely applied in imaging biological systems and is also useful with semiconductor, metallurgical and mineral substances. | ||
Electron Microscope | Electron microscopes utilize an electron that is scanned across (SEM) or passed through (TEM) a sample to capture an image. The significantly smaller wavelength of electrons allows much higher resolutions and depths of field compared to optical microscopes. Several types of electron microscopes exist such as scanning electron microscopes (SEM), transmission electron microscopes (TEM) or scanning transmission electron microscopes (STEM). | ||
Ultrasonic / Acoustic | Systems where images are captured by scanning a product with an ultrasonic or acoustic sensor or imager. Typically the product is immersed in a tank of liquid that allows transmission of the ultrasonic pulses to and from ultrasonic transducer. | ||
Magnetic | Imaging sources from magnetic resonance imaging systems or magnetic particle imaging instruments. | ||
Other Image Source | Other un-listed image sources. | ||
Search Logic: | Products with the selected attribute will be returned as matches. Leaving or selecting "No Preference" will not limit the search criteria for this question; products with all attribute options will be returned as matches. | ||
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