IoT hardware development involves a long and difficult process of designing, testing, and certifying physical devices like PCBs, unlike the faster iteration cycles of software.
An IoT solution uses sensors and LoRa connectivity to monitor thousands of rodent traps in warehouses, automating a difficult and manual maintenance task.
An IoT device with a camera and edge computing automates the tedious job of identifying and counting insects on sticky traps in clothing production facilities.
Developing a reliable sensor to measure septic tank levels is a difficult R&D project due to the harsh environment, unpredictable surfaces, and connectivity issues.
A practical application of thermal imaging reveals that mysterious nightly sounds in a house were caused by martens living in the roof, not ghosts.
During the pandemic, a GDPR-compliant people-counting system was developed using thermal cameras and computer vision to enforce occupancy limits in public spaces.
Thermal cameras are unreliable for fever detection because they measure skin temperature, which varies greatly, making it a complex AI challenge to correlate with actual body temperature.
The speaker shares key takeaways, including the unreliability of thermal cameras for fever detection and the vast, unexpected opportunities for automation.
28:28Réka Leisztner
29:34Falk-Moritz Schaefer
28:09Jan Oberhauser, Mirko Novakovic, Alex Laubscher & Keno Dreßel
28:19Thomas Tomow
30:29Andreas Kaldun
26:25Stephan Gillich
32:26Krzysztof Cieślak
28:06Martin Wezowski
Jobs that call for the skills explored in this talk.
Plain Concepts
Germans Trias I Pujol Research Institute (igtp)
Badalona, Spain
Anybotics
Barcelona, Spain
