People Smoking detection API - Fumovetiti (also known as People Smoking Recognition API or People Smoking Banned API) is a cross browsers REST API which get a JSON input with a still photo (as base64 encoded string), containing people smoking or not with clear focus and returns a JSON string which contains a base64 encoded string photo with detectioned smoked object like cigarette(s), pipe(s), confidence score, timestamp, vertices for bounding boxes of People Smoking Objects. 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 ratio between height of the People Smoking Object and height of entire picture should be at least 1:15. For ratios like 1:16, 1:17, 1:18 and so on the accuracy is lower and the AI algorithm may not see the People Smoking Object. The smoking objects 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 People Smoking detection API (currently we do not offer a People Smoking detection sdk) is intended for software development and therefore developers, we have also here an People Smoking 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 Smoking 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 Smoking detection API is useful for a large number of domains like: people smoking recognition apps, security cameras for restaurants, museums, other public places 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.