Pawel Skiba
Smart, Connected, Unexpected: The Wild Side of IoT and AI
#1about 4 minutes
Understanding the complexities of IoT hardware development
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.
#2about 4 minutes
Building smart rodent traps for warehouse management
An IoT solution uses sensors and LoRa connectivity to monitor thousands of rodent traps in warehouses, automating a difficult and manual maintenance task.
#3about 3 minutes
Applying computer vision to automate insect counting
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.
#4about 4 minutes
The engineering challenge of monitoring septic tanks
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.
#5about 3 minutes
Using thermal cameras to investigate household pests
A practical application of thermal imaging reveals that mysterious nightly sounds in a house were caused by martens living in the roof, not ghosts.
#6about 4 minutes
Counting people with thermal cameras for compliance
During the pandemic, a GDPR-compliant people-counting system was developed using thermal cameras and computer vision to enforce occupancy limits in public spaces.
#7about 3 minutes
The difficulty of detecting fevers with thermal cameras
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.
#8about 1 minute
Key lessons learned from years of working in IoT
The speaker shares key takeaways, including the unreliability of thermal cameras for fever detection and the vast, unexpected opportunities for automation.
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Why HR struggles with technology implementation and adoption
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