Dirty Solar Panel Detection API
avtor: SC DE VIS SOFTWARE SRL
Detects dirty solar panel from close-up photo using AI and powerful cloud infrastructure.
Dirty Solar Panel Detection API - Dirtyspdet (also known as Dirty Solar Panel Recognition API or Dirty Solar Panel Detector API) is a cross browsers REST API which get a JSON input with a still photo (as base64 encoded string), containing close-up solar panels and returns a JSON string which contains predictions of the input photo regarding the probability of Dirty Solar Panel. The recognized Dirty Solar Panel 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 Dirty Solar Panel is clear and focused. If the Dirty Solar Panel 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 Dirty Solar Panel Detection API (currently we do not offer a Dirty Solar Panel Detection sdk) is intended for software development and therefore developers, we have also here an Dirty Solar Panel 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 Dirty Solar Panel 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 Dirty Solar Panel Detection API is useful for domains like apps for: solar panel energy, cleaning solar panels 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.