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Why Not Use Pattern Recognition System to Track Endanger Species?

on Friday, 18 September 2015. Posted in Artificial Intelligence

Several times, we hear the news about the tiger found dead. We all are aware of this beautiful and ferocious animal. Once, forest used to hear the roar of this animal, but now this scenario is rare. Due to illegal poaching and various diseases, we are losing this alluring animal. Basic problem is keeping an eye on the population of this endangered animal and poaching. Artificial intelligence has a solution to any problem. Yes, I am talking about using a pattern recognition system for keeping track of these endangered species.

Even, there are various other species like Royal Bengal Tiger, Rhinoceros, Asian Elephant, Asian lion, Blue whale, Chimpanzee, Snow Leopard, Siberian Tiger and many more. The list is endless.

Just think, how difficult it is, for human to keep track of all such an endangered species. So, why not use pattern recognition system to track endangered species? I wonder, if pattern recognition can work for human fingerprints; then why not give a try for animals.

When we look at the endangered animals, they seem similar or almost indistinguishable. But still there exists a difference between the two individuals of the same species. Take an example of Tiger. There are strips on the body of this animal. The tigers have a specific pattern of the strips.

Taking another example of Blue whales. They have a certain variety in the patterns available on their body. Just think about our fingerprints. Each fingerprint differs from one another. Same is the case with whales and other animals as mention above.When I am saying about pattern recognition system, it will be using machine learning techniques.

How can we design the system?
Firstly, the question arises “what we require for building such system?” Well, the answer is simple. We will require the differentiating patterns of the animals, we want to track. Take an example of the tiger.

As I have mentioned above, tigers have various strip patterns that can help in differentiating them from one another. Then we have to decide a region where the animal of that pattern mostly occurs. Actually, tigers have their own marked territory. So, it’s quite easy to track it in a particular region.

Finally, by using the concepts of pattern matching and machine learning, we can construct a machine which is having the patterns of the animal and we can install it in the jungle in a particular place.

Now, whenever the animal gets encountered, the system will track it and record it. If anything goes unusual, then reports can be generated and the problem can get resolved.

Conclusion:
Reason for my writing is to improve the system for tracking the endangered species. Artificial intelligence has a solution for the tracking of animals. If such system is used for the tracking of the endangered species, then it will be helpful in efficiently tracking the animals. This will be easier for the tracking of animals and even help in checking the number of the species.

If such system gets installed in the forest, then we can track many species and can save them for our future generation. This will reduce the humans and animal conflicts and also make the tracking easier.

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