COMPUTER VISION

DIGITAL NEURONS TO SEE BEYOND

With Computer Vision, we generate business solutions. Computers see, analyse, and understand images and video, to abstract insights, highlight defects or identify specific incomes.

COMPUTER VISION TASKS & USES

Computer vision is like giving a computer eyes, so it can see and interpret the world just like humans do. It uses advanced algorithms and machine learning to analyse and understand images and videos, and can be used in all sorts of exciting applications like self-driving cars, facial recognition, and even medical diagnosis. With computer vision, computers can do tasks that were once only possible for humans, making our lives easier and more efficient.

Visual Intelligence by EQUINOX AI LAB

Image source: RSNA.org (Radiological Society of North America)

IMAGE CLASSIFICATION

Image classification is a powerful application of computer vision that allows machines to recognise and categorise objects in images with impressive accuracy. Using machine learning algorithms and deep neural networks, image classification models can learn to detect defective products, improve medical diagnoses or enhance security systems.

IMAGE SEGMENTATION

This technique is commonly used in computer vision to identify and isolate specific objects or regions within an image at a pixel level, such as differentiating the foreground from the background. Segmenting a photo makes it easier to analyse, manipulate, and understand its contents, enabling a wide range of applications, including object recognition and image editing.

Numerate identifies objects and counts them to reduce time and human error. As a result, it improves the inventory experience in retail, logistics and manufacturing industries.

OBJECT DETECTION & COUNTING

Object detection allows computers to see and locate objects within an image or video. Object detection can accurately identify and draw bounding boxes around specific items, in different industries. This technology has numerous applications, from improving autonomous driving to enhancing surveillance systems. By enabling machines to detect and understand the world around us, object detection is opening up new possibilities for innovation and progress.

LANDMARK DETECTION

Landmark detection is the ability of a computer to identify and locate specific points or landmarks on an image. These landmarks could be anything from facial features like the eyes and mouth to specific points on a map or building. This technology uses advanced algorithms and machine learning to accurately detect and recognize landmarks, enabling a wide range of applications, from improving navigation and mapping to enhancing facial recognition technology.

Who am eye is our Face Recognition solution to identify people from databases and control contactless access anywhere. Use it in workspaces, residence buildings, or educative institutions.

FACE RECOGNITION

Face recognition is a biometric technology that uses computer vision and machine learning algorithms to automatically identify and verify individuals based on their facial features. Face recognition has many practical applications, including improving security systems, enhancing law enforcement, and facilitating access control.

COMPUTER VISION IN DIFFERENT INDUSTRIES

Day after day, humans are overly exposed to digital media, it’s almost impossible to assimilate or analyse all the data we’re receiving.
Machines are ready to help you!

With their “eyes”, they identify, track, differentiate, and detect objects or humans according to your needs. Its broad scope can reach businesses from all industries, from health, transportation, retail, and agriculture to financing, manufacturing and logistics.

Retail

Improve backstage and frontstage processes. For example, count inventory, detect out-of-stock products on time and offer a better experience for your customers.

Logistics

Classify products into defined classes or identify product defects in real-time when they’re coming off the production line.

Health

Diagnose patient imagery from MRIs, CAT scans and X-rays and detect abnormalities as accurately as humans with Computer Vision.

Insurance

Use Computer Vision to analyse more consistent and accurate vehicle damage assessments. As a result, it reduces fraud and time in the claims process.

KEY OFFERINGS

Why is it a good idea to use Computer Vision?

Time optimisation

e.g. Analyse more data in less time

The machine will learn and get better over time

Decrease human error

i.g. Finding defects or counting

Improve User experience

i.g. Face recognition validations

COMPUTER VISION RELATED ARTICLES

Learn more about Computer Vision with our articles written by our Data Scientists

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