The Lion

An exercise in using AI Designers and Chatbots


A lion looking across the savanna, at many different animals. The scene is shown twice, one with the colours a lion sees, and one with the colours a human sees.
(Created using Microsoft Image Creator using the text shown)


A realistic painting of a lion looking across the savanna, at many different animals. The scene is shown twice, one with the colours a lion sees, and one with the colours a human sees. (Created using Microsoft Image Creator)

Created using Deepdream

Let’s explore why lions see things differently. Using Copilot.

The way lions perceive the savanna is quite different from how humans do. Here are some key differences:

Colour Vision

Night Vision

Field of View

Camouflage and Detection

Focus and Attention

Understanding these differences highlights how lions are perfectly adapted to their environment, making them efficient predators in the savanna. 🦁

A realistic painting of the savanna at night, as seen by a lion using his night vision. (Created using Microsoft Image Creator)

A Snake’s View

I use both Microsoft Copilot and Deepdream to create images. However the simplest option is to use “Image creator in Bing”. Just search for it.
To discover how lions perceive the savanna differently from humans, I input “How does the scene of the savanna differ between what we see and what a lion sees.”
I used Copilot within Bing. Just press the icon, after going into Bing.

Other types of vision

Satellites, such as Copernicus

The Copernicus Sentinel-2 satellites are equipped with high-resolution multispectral cameras that can capture images in 13 spectral bands. These bands range from visible light to near-infrared and shortwave infrared, providing a comprehensive view of Earth’s land and vegetation1.

This capability allows the satellites to monitor various environmental factors, such as agricultural practices, forest health, and water quality, with great detail and accuracy.

Robots and Enbedded AI systems

We’ll be using embedded systems that use vision algorithms to see, hear and monitor movement. Its covered in the Rai notebook.