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Icy Road Detection API

oleh SC DE VIS SOFTWARE SRL

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Detects icy roads from a photo using artificial intelligence and powerful cloud infrastructure.

Icy Road Detection API - IcyRoadDet (also known as Icy Road Recognition API or Icy Road Detector API) is a cross browsers REST API which get a JSON input with a still photo (as base64 encoded string), containing icy roads and returns a JSON string which contains predictions of the input photo regarding the probability of an icy road. The recognized Icy Roads 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 Icy Road is clear and focused. If the icy road 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 Icy Road Detection API (currently we do not offer a Icy Road Detection sdk) is intended for software development and therefore developers, we have also here an Icy Road 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 Icy Road 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 Icy Road Detection API is useful for a large number of domains like apps for: automotive, travel, transportation etc. You own the commercial copyright of the resulted JSON with no additional fee meaning you may use it in your own apps for sale.

Sekilas

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https://store-images.s-microsoft.com/image/apps.29292.c3eb7502-e810-4b97-b475-13fce8b62484.ad03795c-c991-49fa-a2d3-805941ce0666.e46d461e-cb7a-46ad-9899-970d2a04aab1