TTS Oti-Bot Single

Students can learn about the concept of
perception as Oti-Bot uses its sensors to detect and interpret the light reflected from drawn
lines. This function allows students to explore how systems process sensor data to make
decisions and navigate along the line.

Colour-sensing tasks often require problem-solving and
optimisation. Students can explore different strategies to improve Oti-Bot's performance, such
as adjusting sensor thresholds or implementing algorithms for colour recognition. This
encourages critical thinking and experimentation to optimize the behaviour of AI systems.

Oti-Bot allows students to have a hands-on
experience with facial recognition through machine learning. They can use the facial
recognition function to learn, store and recognise faces, gaining an understanding of how AI
systems process and identify faces based on visual data.

Oti-Bot's capacitive touch sensors provide an opportunity
for students to learn about different types of sensors used in AI systems. They can explore how
capacitive touch sensors work, detecting changes in capacitance when touched by a
conductive object. Students can understand the principles behind touch sensing and its
application in AI technology.