Cooperation with Intel on AI applications in thermal image…

Our Department and Intel (San Diego, USA) cooperate on the AI applications in thermal image processing of faces. The analyzed aspects are focused on face recognition, super-resolution algorithms and vital-signs estimation.

More information about our research at Intel blog:

Exploring Deep Learning Face Recognition with Thermal Images

and other websites:

Intel researchers propose AI that recognizes faces from thermal images

 

Thermal Camera Modules (TCM) project

Biomedical Engineering Department is proud to announce start of the Thermal Camera Modules (TCM) project. First stage contains a “TCM Spark” module, which includes PCBA with a FLIR Lepton camera, a STM32F0 processor and series of interfaces available on the connectors (e.g. USB, UART, CAN). The dedicated PC software that will be able to capture the thermal images, as well as configure the cameras will be released together with the module. Two more modules: “TCM Fire” and “TCM Inferno” with extended functionality will be released in next stages. “Fire” will be equipped with a STM32F7 microcontroller and a 2.4inch TFT display, while “TCM Inferno” will be based on an IMX RT1050 microprocessor, a 4 inch TFT display and CMOS camera. Below, the specification for each module is presented.

TCM SPARK
– FLIR LEPTON sensor,
– STM32F0 microcontroller,
– microUSB connector,
– UART, CAN, SWDIO on ZIF connector

TCM FIRE
– FLIR LEPTON sensor,
– STM32F7 microcontroller,
– 256Mb external RAM,
– 2.4 inch TFT display,
– microUSB connector,
– UART, CAN, SWDIO on ZIF connector,
– FreeRTOS support

TCM INFERNO
– FLIR LEPTON sensor,
– IMX RT microprocessor,
– 256Mb external RAM,
– 4 inch TFT display,
– additional CMOS camera,
-UART, CAN, ETHERNET interfaces.

A compact air quality monitoring station

Together with PM Ecology company we will be working on the development of a compact air quality monitoring station. Research is partially supported by the National Centre for Research and Development (NCBR) under the so-called “fast-track” R&D funding (POIR 1.1.1). The project is designed to carry out industrial research and development work, which will allow the company to put into production a comprehensive air quality monitoring system with area maps of air pollution generated in real time and available online.