Use cases of image recognition

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Image recognition technology with AI is becoming more and more indispensable in any company you can imagine. Its applications bring economic value in sectors such as healthcare, retail, security, agriculture and many others..

In this article you will learn more about Image recognition use cases.

Face identification and analysis

It is a leading image recognition application. Modern ML methods make it possible to use the video feed from any digital camera or webcam..

In these applications, image recognition software employs AI algorithms for simultaneous face detection, face pose estimation, gender and age recognition using a deep convolutional neural network.

Facial analysis with computer vision enables systems to recognize identity, intentions, emotional and health states, age or ethnicity. Some photo recognition tools seek to quantify perceived attractiveness levels with a score.

Medical image analysis

Visual recognition technology is widely used in the medical industry to enable computers to understand images that are routinely acquired throughout the course of treatment.

For example, there are multiple papers on the identification of melanoma, a deadly skin cancer. Deep learning image recognition software enables tumor tracking over time.

Animal monitoring

Agricultural visual AI systems use novel techniques that have been trained to detect the type of animal and its actions. AI image recognition software used for remote monitoring of animals in agriculture for the detection of diseases, anomalies, compliance with animal welfare guidelines, etc.

Pattern and object detection

AI photo and video recognition technologies are useful for identifying people, patterns, logos, objects, places, colors and shapes. The customizability of image recognition allows it to be used in conjunction with multiple software programs.. 

For example, after an image recognition program specializes in people detection, it can be used for people counting, a popular computer vision application in retail stores.

Automated plant image identification

Thanks to an article from viso.ai, we can learn that in a July 2021 research analyzed the accuracy of image identification. This in order to determine plant family, growth forms, life forms, etc.

The tool works by using the photo of a plant with an image comparison software to query the results with an online database.

The results indicated a high recognition accuracy, as 79.6% of the 542 species from about 1,500 photos were correctly identified. While the plant family was correctly identified for 95% of the species.

Image recognition is very favorable and relevant for any company since it speeds up many processes, favors the collection of data and also the work without human hands.

Making way for technology and all that image recognition entails is not an easy task, but with knowledge, a good organization and a specialized team, it will be possible.

At LISA Insurtech we stand out for streamlining insurance settlement processes with cutting-edge technology. One of our star performers is our Artificial Intelligence.l.Thanks to it, we are able to recognize images, documents, videos and photographs in order to avoid fraud and avoid so many frictions during the claim settlement.

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