Fog Lit Lights Detection API
argitaratzailea: SC DE VIS SOFTWARE SRL
Detects Vehicle's Front or Rear Fog Lit Lights from an input photo using Artificial Intelligence.
Fog Lit Lights Detection API - FogLychnus (also known as Fog Lit Lights Recognition API or Vehicle Fog Lit Lights Detector API) is a cross browsers REST API which get a JSON input with a still photo (as base64 encoded string), containing tail or front fog lit lights from the rear or front of a vehicle and returns a JSON string which contains predictions of the input photo regarding the probability of Fog Lit Lights. The recognized Fog Lit Lights 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 Fog Lit Lights is clear and focused. If the Fog Lit Lights 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 Fog Lit Lights Detection API (currently we do not offer a Fog Lit Lights Detection sdk) is intended for software development and therefore developers, we have also here an Fog Lit Lights 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 Fog Lit Lights 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 Fog Lit Lights Detection API is useful for a large number of domains like apps for: security cameras for vehicles in traffic, parkings, automotive 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.