Accelerating the
Industrial Internet of Things

Visual Quality Detection

Visual Quality Detection
Visual Quality Detection
Visual Quality Detection
Visual Quality Detection
Visual Quality Detection
Visual Quality Detection
Visual Quality Detection
Visual Quality Detection
Visual Quality Detection
Visual Quality Detection
Feature New Record
DESCRIPTION
Quality assurance systems utilize RFID, sensors, video monitoring, remote information distribution and cloud solutions on the production line to streamline inspection procedures, improve decision making, and reduce costs driven by quality defects.
The accuracy of machine vision boosts quality through improved defect detection, real time quality inspection, precise component measurement, and tolerance monitoring. Systems are not on the market that address issues at all stages of the product lifecycle, including material input inspections, production inspections, final product inspections, loading and delivery supervision, and sensors on final products to provide real time maintainance data.

Visual quality detection technology is currently used widely for inspection of microchips, resistors, and components such as lead frames and capacitors. In the automotive industry, these technologies are used in control systems for inspection of painted surfaces, industrial robots, welding quality control, checking engine block.

Key vendors: Basler, Cognex, National Instruments, Omron
MARKET SIZE

The overall machine vision market is expected to grow from USD 8.12 billion in 2015 to USD 14.43 billion by 2022, at a CAGR of 8.15% between 2016 and 2022.

Source: Markets and Markets

 

The global machine vision market is expected to reach USD 19.22 billion by 2025, according to a new report by Grand View Research, Inc.

Source: Grandviewresearch

The global machine vision system market size is expected to reach USD 18.7 billion by 2022 from USD 10.6 billion in 2015, growing at a CAGR of 8.7% from 2016 to 2022.

Source: Alliedmarketresearch

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