Vehicles Lit HeadLights Detection API - LightsLitDet (also known as LightsLit Detection API or Auto LightsLit Detection API) is a cross browsers REST API which get a JSON input with a still photo (as base64 encoded string), containing vehicles with headlights lit or unlit, front view and returns a JSON string which contains a base64 encoded string photo with rectangles drawn over Lit HeadLights of a vehicle, confidence score, timestamp, vertices for bounding boxes of Vehicles Lit HeadLights. 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 lit headlights are clear and focused. If the lit headlights are too small or blured, the accuracy is lower and the AI algorithm may not see the lit headlights. The lit headlights must be focalized, unobstructed, with details very clear. 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 have varifocal lenses, high shutter speed, good infrared lighting beam, full HD resolution.

Allthough this Automatic Vehicles Lit HeadLights Detection API (currently we do not offer a Vehicles Lit HeadLights Detection sdk) is intended for software development and therefore developers, we have also here an Vehicles Lit HeadLights 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 Vehicles Lit HeadLights 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 Vehicles Lit HeadLights Detection API is useful for a large number of domains like apps for detecting: LightsLit for cars, SUVs, trucks, tractors, vans, buses, motorcycles, ATVs 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.