Smart sensors deliver data in the physical and virtual world
There are many different Robots, from humanoids to intelligent self-driving cars, or just IoT systems that locally collect and process data from sensors. Kai’s Clan robots are the latter, with their sensors they can communicate with each other and produce data which students can read in real-time.
Understanding and being able to read the data is becoming a life skill that all students will need in order to apply for a job in the future. These smart sensors use evolving techniques for smart algorithms and artificial intelligence principles. It increases our understanding of sensor data, improves the integration of sensors as well as the extraction of features. It also allows smart sensing applications to take measurements and control the outcomes from different robots and virtual objects.
All across the world, remote sensors are being used to read weather data, data regarding the spread of Omicron, or even data coming back from the Perseverance rover and the Ingenuity helicopter all the way on Mars.
Here at Kai’s Clan, we do the same. We have over 35 sensors that can be used on the robots and QR codes, which can be read and even impact how objects react in the virtual world.
Botany Secondary School has just worked on a project, the Plant Watering lesson, that requires them to use the sensors. Half the class used moisture sensors with their robots and the rest had water pumps attached instead. They then created a sequence for a situation where any time the plant is dry the second robot will water the plant. This sequence is extended to the virtual world by allocating a QR code to the plant. When the moisture sensor in the plant indicates it’s dry, the plant in the virtual world looks small and sad; when the plant is being watered it gradually livens up with happy emojis attached.
We are getting closer to launching the ‘Digging for Data on Mars’ competition. This competition will launch during ISTE 2022, with schools then creating their own projects on Mars about digging and presenting data.