Temperature Detector API
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.
The necessary steps are written below, basically for this real time temperature detector or 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 Temperature Detection API is useful for a large number of domains like: checking private entrances in restaurants, malls, close spaces, airports, bus stations, railway stations 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. For using our temperature detector API and/or APP you must create an account (free of charge, no card required), activate it from your received email, login and then start your TRIAL package with no fees as you can see at our pricing packages.
After you have tested the API and/or APP and you are satisfied, you may buy a paid package. You will always see at your Admin Console page the real resources
consumption in real time, your invoices, you may see/edit/delete your profile or export log consents as GDPR instructed, you may read our FAQs.
Thermoquaesitor Online Video Presentation
Temperature Detection API, Thermoquaesitor is in the video presentation below.
There are several search terms which you may use like: temperature detector api, face detection on infrared image api, temperature detection api, thermal face detection api, infrared face detection api.
Please choose one of the below pricing packages for start using our Temperature Detector API and online APP!
Yearly TIER
(15% Discount)
Note: VAT rate may be added or not, function to your country and/or if you are a taxable person or company.
* Prediction - on the input photo may exist many predictions, each of it with certain amount of probability of detected human face on thermal image. Even we filter the output predictions to those with probability score greater than 50%, for the input photo all predictions are counted.