Temperature Detector API, Thermoquaesitor
作者 SC DE VIS SOFTWARE SRL
Detects human faces on infrared thermal images and maximum temperature in the eyes zone area.
Temperature Detector API - Thermoquaesitor (also known as human temperature detection on thermal image API) is a cross browsers REST API which get a JSON input with a still photo (as base64 encoded string) or an url of the image together with the scale of temperatures (units may be Celsius, Kelvin or Fahrenheit) and returns a JSON string which contains predictions with certain amount of probability (filtered for output with minimum 50%), bounding boxes of maximum detected temperatures in the eyes zone of the human face with its top, left, width, height values. Also it outputs a base64 encoded string photo which is the original input photo with drawned bounding boxes upon it and also with the maximum temperature values detected according to input temperature scale photo. For one still photo the API may return multiple predictions with different probability scores of detected temperatures of human faces. Our pricing packages count the predictions, so for one request, multiple predictions may be counted. We filter the results of predictions so we display only the predictions with a probability score higher than 50%. 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 bounding box 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 human face and the prediction score will be low. We do not store pictures. Also, the quality and the angles of the camera are very important and it contribute to a higher detecting accuracy. It should have varifocal lenses, high shutter speed, good infrared lighting beam.
Allthough this Temperature Detector API (currently we do not offer a temperature detection sdk) is intended for software development and therefore developers, we have also here an temperature detector on human face thermal image online application that may be used to check the input and output JSONs of the API.