Computer Vision is a branch of AI Artificial Intelligence

Computer Vision is a branch of AI (Artificial Intelligence) which allows the system and the computer to derive meaningful information out of digital images and videos. It follows the technique of Acquiring, processing, analysing and understanding digital content and transforming to high resolution data from the real world to calculate and produce decisions.

In a two-dimensional image, a computer vision must identify the objects and the characteristics present such as colour, texture, shapes, sizes, spatial agreement and other identifiable objects to provide a complete description as possible.

Computer Vision and related Fields: -

• Image Processing – It mainly focuses on processing raw image to apply various transformations to enhance or use as an input for a specific task.

• Machine Vision – It uses computer vision to perform certain actions, specifically in manufacturing or producing industries to manage various product handling processes.

• Computer Vision – It solves complex problems and detects minor details like facial recognition, biometric etc.

Industry Application in various Industries

Retail - The use of computer vision in the retail sector has been one of the most important technological trends in recent years. Ex. Brick and mortar retailers use computer vision algorithms in combination with store cameras to understand who their customers are and how they behave. Adding directional gaze detection, retailers are able to answer a crucial question: where to put the items in the store to improve the consumer experience and maximize sales. Computer vision is also an excellent tool for developing anti-theft mechanisms.

Manufacturing - Computer vision algorithms prove to be a great means of predictive maintenance. By analysing visual information (e.g., from cameras attached to robots), algorithms can identify potential trouble before it occurs. The fact that a system can anticipate that a packaging or car assembly robot will fail is a huge contribution. The same idea applies to defect reduction, where the system can spot defects in components throughout the entire production line.

Healthcare - In the healthcare domain, the number of existing computer vision applications is impressive, medical image analysis is the best-known example, since it helps to significantly improve the medical diagnostic process. Images from MRIs, CT scans, and X-rays are analysed to find anomalies such as tumours or search for signs of neurological illnesses.

Agriculture - Agriculture is a major industry where computer vision is having a tremendous impact, especially in the area of precision agriculture. computer vision algorithms can now detect, or in some cases can reasonably predict, diseases or pest and insect infestations. Early diagnosis allows farmers to take appropriate measures quickly, reducing losses and ensuring production quality.

 Monica Chavan

HR Manager

AirCrews Aviation Pvt Ltd


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