Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly. Deep learning is a subset of machine learning. Deep artificial neural networks are a set of algorithms that have set new records in accuracy for many important problems, such as image recognition, sound recognition, etc., In deep learning, a convolutional neural network (CNN) is a class of deep neural networks, most commonly applied to analyzing visual imaginary.
We have a non-stop rotational process, that our smart system do by the help of Artificial Intelligence and without help of human, till animal is gone and no RISK remain. firstly We are capturing video from your risky area in every seconds, then Via our machine learning algorithms, all the objects which can cause the risk, is going to be detected (include animal, infrastructures, etc.). After risk identification, Regarding to the level of the risk and animal type, different conditions include Animal & Environmental regulation would be consider and the best decision would be made by machine which could be call proper deterrent tool. So by running these kinds of tools animal will go away from the risk area.
In above video you can see how our smart system can recognize the squirrel and after that, the laser under the desk is called.
We tried to show the part of our system process in the laboratory so the system is processing each frame from the movie and start the process, if the system identify the animal then the laser will automatically start working. This process just show the core engine and is not the whole story. We have add more than 10 species to our learning algorithm like squirrel, Canadian geese, crow, white tail deer ….
We tried to show the part of our system process in the laboratory so the system is processing each frame from the movie and start the process, if the system identify the animal then the laser will automatically start working. This process just show the core engine and is not the whole story. We have add more than 10 species to our learning algorithm like squirrel, Canadian geese, crow, white tail deer ….