Wing Ice Detection API - wingicedet (also known as Wing Ice Recognition API or Plane Wing Ice Detector API) is a cross browsers REST API which get a JSON input with a still photo (as base64 encoded string), containing close-up wing of a plane from front or above and returns a JSON string which contains predictions of the input photo regarding the probability of Wing Ice. The recognized Wing Ice have confidence score, timestamp, tagId, tagName. Of course, there are some limitations in order to get a higher accuracy. We recommend properly exposed, unobstructed JPEG photos at 1920x1080 (full HD resolution) where the Wing Ice is clear and focused. If the Wing Ice details are too small or blured, the accuracy is lower and the AI algorithm may not classify in a proper way. We do not store pictures. Also, the quality and the angles of the camera are very important and it contribute to a higher reading accuracy. It should has varifocal lenses, high shutter speed, good infrared lighting beam, full HD resolution.

Allthough this Automatic Wing Ice Detection API (currently we do not offer a Wing Ice Detection sdk) is intended for software development and therefore developers, we have also here an Wing Ice Detection online application that may be used to check the input and output JSONs of the API. The necessary steps are written below, basically for this real time Wing Ice Detection API you send an authorized POST request in JSON format to the API endpoint and you get as JSON response the output as described below through parameters and examples.

This Wing Ice Detection API is useful for aviation domain like apps for: security cameras which check the presence of the ice on the wings of a plane. You own the commercial copyright of the resulted JSON with no additional fee meaning you may use it in your own apps for sale.