Intelligent Image Analysis

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PLANET AI’s Intelligent Image Analysis is able to localize and identify many different visual categories in images and videos. This skill is often utilized by our engines to preprocess images or videos to segment certain objects, but can also be used as a stand-alone solution.

The three features Image Classification, Object Detection and Image Segmentation can be applied in various industries, such as healthcare and traffic surveillance.

IMAGE ANALYSIS REVOLUTIONIZED

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Image Classification

PLANET AI’s Image Classification technology assists you in identifying significant characteristics for differentiation by providing only a small amount of example images. The system then learns autonomously, allowing you to add or alter image classes independently based on feedback and training data. You can use it to identify specific content, such as diagnoses on a medical scan. Image Classification can dramatically reduce the potential for mistakes and the costs for manual input.

Use Cases:

Intelligent Radiological Assistant (IRA) (chest scans)

Video
Image Classification_

Object Detection

PLANET AI’s Object Detection feature helps you to analyze input by marking objects with a highlighted frame and a confidence value for each object’s class. Even different, sometimes overlapping or blurry objects can be handled, as well as compression artifacts, shadows and a lot more. You can use it to identify certain objects in a collection of pictures, such as forbidden items on an x-ray scan at the airport. Object Detection can process multiple images at once, dramatically reducing the potential for mistakes.

Use Cases:

Traffic surveillance (e.g. license plates, faces,…)
Law enforcement (e.g. search for dangerous objects in images,…)
X-ray controls (e.g. in airports, government buildings,…)
Table detection (document analysis)

Video

Image Segmentation

PLANET AI’s Image Segmentation technology assigns a class to each pixel of an image and thus offers groundbreaking accuracy for any image analysis task. Pixels of the same class, such as background or a body part, can be marked in the same color and further processed. You can use it to transform two-dimensional input into three-dimensional models, for example in medical contexts.

Use Cases:

Healthcare (diagnostic imaging)
Finding text in images (document analysis)

Video
Image Segmentation

Test it yourself

Register at our webportal and download some of our applications and demos – IDA PDF Lite, SpeechRecognition, ObjectDetection and Intelligent Radiological Assistant.

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