Computer Vision: Image and Video Recognition
Farix’s Machine Learning solution efficiently handles vast amounts of visual data, automating the processes of image and video recognition for enhanced accuracy and speed.
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Advantages of computer vision
Uninterrupted operations. Unlike humans, computers don’t require breaks for eating or sleeping, allowing for continuous processing of visual data.
Rapid response time. Machines operate in real-time, fully dedicated to their tasks, ensuring swift execution and high efficiency.
Business process automation
No human mistakes.
By automating tasks, human resources are freed from repetitive work, leading to reduced payroll costs.
Text & Image recognition
Agriculture
Quality control in crop production
Augmented realty
Determining object location using sensor data
Autonomous vehicles
Biometry
Identification of individuals
How does computer
VISION WORK?
Computer vision project implementation illustrated by solving a problem of hand gesture recognition
Extracting image
Hand, face, or object detection (identifying whether the image includes a hand).
Image preparation
Identification of low-level image properties
Extracting only meaningful properties of all collected ones
Classfication
Using neural network to recognise the gesture
Exit class
A typical computer vision solution
development and integration
One of the fundamental aspects of computer vision is image recognition, where systems identify and classify objects within an image, playing a crucial role in numerous industries from healthcare diagnostics to autonomous vehicles.
The primary challenge in image recognition lies in accurately aligning specific visual data with predefined categories. This technology is vital across numerous sectors, from analyzing everyday digital images to the automated interpretation of complex data in fields like healthcare and military applications.
