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An instrument used in industrial automation and robotics to gather and interpret visual data for inspection, guiding, or measurement is a 2D vision sensor, sometimes referred to as a 2D machine vision sensor.
For the purpose of analysing and interpreting 2D images of objects or situations, it is a form of sensor that combines a camera and image processing capabilities.
A 2D vision sensor’s main characteristics and capabilities are as follows:
Image Capture: To capture 2D images of the objects or areas of interest, the sensor includes a camera. Depending on the needs of the application, either a monochrome or a colour camera can be used.
Image processing: To examine and glean useful information from the images that are acquired, the 2D vision sensor makes use of built-in image processing algorithms. Edge detection, pattern recognition, feature extraction, measurement, and defect detection are a few examples of the activities that may be involved.
Inspection and Quality Control: For inspection, quality control, and flaw detection in industrial applications, 2D vision sensors are widely utilised. They can take measurements, check for appropriate assembly, look for flaws in the product’s design, check for labels or barcodes, and carry out other visual inspection jobs.
Object Recognition and Sorting: 2D vision sensors can identify specific items or patterns inside an image with the use of pattern matching and image analysis algorithms. When objects need to be recognised and sorted according to particular traits or qualities, this capability is frequently used in sorting or bin-picking applications.
Robotics with visual guidance: 2D vision sensors can give robots or automated systems visual cues. They are able to locate items, find out where they are and how they are oriented, and give accurate directions for manipulating or assembling robots.
Communication and Integration: To communicate with other systems or devices, many 2D vision sensors come with built-in communication interfaces (such Ethernet or serial connections). They can transmit data to PLCs (Programmable Logic Controllers) or other control systems and be incorporated into bigger automation setups.
Industry applications for 2D vision sensors include automotive, electronics, pharmaceuticals, food & beverage, packaging, and many more. They assist in raising the quality of the finished product, boosting productivity, and automating visual inspection duties that would otherwise call for human intervention.
The Global 2D Vision Sensor market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
In order to make it simple to develop unique quality inspections of complicated or irregularly shaped products, packaging, and assemblies, especially when they may have previously resisted automation using traditional systems, SICK is releasing its first vision camera with a Deep Learning app pre-installed onboard.
The recently released Inspector P621 2D programmable vision camera from SICK is used to run the SICK Intelligent Inspection Deep Learning App.
With the help of the all-in-one package, machine designers and end users may set up artificial intelligence-based vision classifications in a fraction of the time and money it would take to programme difficult inspections based on conventional vision systems’ pre-defined rules and patterns.
With SICK Intelligent Inspection, it is now possible to accomplish consistently strong and repeatable quality inspections with high levels of dependability and availability, where it has previously been exceedingly difficult to do so.
Therefore, automation is now feasible and cost-effective for complex imaging tasks like sorting fresh produce, determining the orientation of wood profiles by identifying the annual ring structure, looking for creases or flaws in leather car seats, or checking the integrity of solders in surface mount assemblies.
