1. General description

detect various diseases at their early stages. Thanks this feature, the people should have possibility to apply a proper treatment earlier – what should dramatically increase the efectiveness of such treatment and lower its cost. Sometimes it may even lead to avoid illnesses – for example a person may avoid a cold if a proper pill is taken before getting a high temperature. But to do so – such person must be aware of coming disease.

The algorithm of detection used by the device is based on detection of patterns in data gathered by various sensors. Most of data is gathered by contactless sensors and without need of any actions taken by people whose health is supervised. The system is also able to collect data from any kind of intelligent wirstbands, smart watches or even intelligent scales. The device works 24 hours a day/7 days a week – so it has enough data to perform a reliable detection.

Based on all collected data and using a library of patterns the system is able to detect possible diseases and other health problems. Thanks the wide range of sensors it can be used also for supervising of young childrens – especially during their sleep. The library of patterns is created based on feedback from the supervised persons. Thanks the connection with other similar devices, the results can be compared and based on results of such comparisons the system can create even more reliable patterns for broader range of diseases. It is also possible to create a central repository or repositories (using popular nowadays Big Data techniques) maintained by a trustworthy organisation (govermental agency). Such repository will be responsible for preparation and propagation of libraries of patterns created based on a data from medical researches and data gathered anonymously from devices from around the world.

2. Applications

The main applications are:

a) early detection of different kind of diseases – from cold to cancer

b) supervising young children and seniors

3. Design

1. Hardware

Fig.1. System's diagram

The vital part of the device is the sensor suite. It contains two main sensors:

1. optical – consists of two cameras – one standard and one IR sensitive in a 8-12 um wavelength area. Both cameras have the same optical axis - it a crucial assumption. The purpose of the first camera is to recognize a person using a face recognition algorithm. The purpose of the second one is to measure temperature of objects in a field of a view of the first camera. Image from the tv camera may be used to detect also clothes and other things that can have impact on a precision of a temperature measurement. Thanks such construction the device can measure instantly a temeparature of persons whose health is supervised. It can also detect other events – like for example a sudden fall of a person or even changes in the way how these persons move. As an IR camera an AMG8853 sensor from Panasonic may be used (optionally Melexis MLX 90620/90621). Both sensors are quite expensive - so if we want to lower a cost af this device, we can use a cheap contactless thermometer with two servos (pan and tilt) and measure a temperature of persons located by tv camera. This solution is technically more complicated but is cheaper and may provide more precise measurements because in this case the device measures temperature of one person at the time. As a TV camera the system uses any popular 2-5 Mpx visible light camera.
2. audio – consists of three identical microphones. Microphones create a triangle – thanks this form the system is able to find the place where sound come from. Connecting this information with information from the camera about the identity of the person located in this direction – the system is able to connect person with alarming sounds – like cough, whistling breath etc. The system not only detects...