People Drowning Detection API - Drownerizer (also known as People Drowning Recognition API or People Drowning Detector API) is a cross browsers REST API which get a JSON input with a still photo (as base64 encoded string), containing people in the water that might or might not be in danger to drown and returns a JSON string which contains predictions of the input photo regarding the probability of People Drowning. The recognized People Drowning 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 People Drowning is clear and focused. If the People Drowning 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 People Drowning Detection API (currently we do not offer a People Drowning Detection sdk) is intended for software development and therefore developers, we have also here an People Drowning 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 People Drowning 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 People Drowning Detection API is useful for a large number of domains like apps for: security cameras for cruise ships, pontoons in ports, ships, areas with drowning danger that are not usual visited by people, 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.