Google presents Tidal, and artificial intelligence with facial recognition of fish to save the oceans

Artificial intelligence has a certain negative connotation in many people because of its still unknown effect on employment in numerous professions (in all). But it will also bring many benefits to other facets that until now were impossible to address. Alphabet, the parent company of Google, through its division X, has presented Tidal, an artificial intelligence equipped with facial recognition of fish with the aim of helping save the oceans.
Pollution and climate change threaten many marine species, and even the survival of Humanity, because 3,000 million people depend on food that is extracted from the sea. The problem, as explained by the director of the Tidal project, Neil Davé, is that "we cannot protect what we do not know."80% of the sea depths remain unexplored, and we know very little about the behaviour and life cycle of many species that we feed on. In fact, according to Davé himself, "we know more details of the surface of the Moon than of the bottom of the deepest sea oceans."

Tidal

The main problem is that the environmental conditions of the seabed are very hostile to technology. The high pressure requires very robust materials that sometimes go against precision, salt spoils any metal which prevents long-term measurements, and GPS or WiFi do not work underwater.
Although it has been presented this week, Tidal has been developing for three years. Google has invented special cameras capable of operating in the deep sea. They are equipped with artificial intelligence capable of monitoring thousands of fish at the same time individually. A kind of facial recognition for fish. And it also captures data such as water oxygen and temperature.
Tracking fish in the sea is almost impossible, so Tidal will be used first in picifactories. The possibility of recording individual monitoring of fish will allow data on behaviour, habits and health, which are impossible to obtain by other means.

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Tidal's first mission will be to help improve picifactories. Obtain healthier, better fed and less sick fish, thus reducing the use of medications.
The long-term objective is that if the performance of the picifactories is optimized, the open fishing in the seas will be reduced, and with it the pollution produced by the ships and the harassment of many species that are highly demanded as food.
Depending on the data learned about behaviour and habits, they could be applied to natural environments to help species recovery.

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