Colour inspection – Assessing the quality of a part based on their colour content. The colour is compared to the colour of a golden standard part and then classified based on the result. Common applications that utilize colour inspection are: Food quality inspection.
Quality assessment of wood products. Color inspection systems (sometimes referred to as machine vision systems) provide image-based inspection automated for the convenience for a variety of industrial and manufacturing applications. I t detects defects, contaminants, functional flaws, and other irregularities in manufactured products. Examples include inspecting tablets of medicine for flaws, displays to verify icons or confirm pixel presence, or touch screens to measure the level of backlight contrast.
Color inspection systems are the Vision systems that detect color can be an important tool for detecting defects, detecting a mix-up of different batches of products, or verifying that the correct components are present in an assembly.
Most machine vision systems recognize color by representing image data in a three-dimensional “space.” In some systems (left), the three dimensions are red, green and blue. In others (right), the dimensions are hue, saturation and intensity.Both analysis techniques can be inaccurate if lighting and other factors are less than ideal.
The Global Color inspection systems market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
Alpha Mos IRIS, high resolution imaging visual analyzer
IRIS electronic visual analyzer measures the colour and shape of products in a single analysis, and as they are perceived by the consumer. Thanks to its high measurement accuracy and its analysis reliability in the long term, control the visual aspect of the products to better satisfy the customers.
They Improve sensory quality of their production and assure its consistency over time by assuring the traceability of products . Standardize the visual quality of products among production sites on a global scale. Control the visual features and the aspect of their products thanks to an in-depth knowledge of colour and shape attributes.
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