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When you search google for something, it always has a lot of results, including images. Few care to ask how google can identify and match the words that you searched with the corresponding images. Alternatively, let us make it practical. Try googling Barrack Obama. Google will have many results. Striking enough, all the image results have Barrack Obama’s images. What it does is like what you do when someone mentions a particular person. In this scenario, you collate images of the person from so many scenes involving him/her. This technology of computers mimicking the human brain is sometimes known as artificial intelligence. Artificial intelligence is a much broader area in computer science. When its focus is much more on images and videos, it is known as computer vision. When applied to computers, it's often not easy and requires a lot of programming. Learning computer vision involves a lot of dedication and practice.
The rise of computer vision
Computer vision was once unachievable. Early experiments started in the 1950s. During the developmental stages, it was tough. What an average student can do nowadays looked impossible in those days. In the 1970s when there was a tremendous growth of the internet, a lot of data was available to the public. As the internet developed, so did computer vision. More mathematicians ventured into it, and models were formed and applied, which could help in analyzing images. With the introduction of artificial intelligence, which is a branch of science, which allows computers to mimic the human brain, computer vision progressed to the extent that it is now applied to so many fields. Google, Facebook, and even YouTube use it. Now, it is applied in so many fields and taught in so many universities around the globe. Learning computer vision requires a student to use computer languages such as Python and C++. Opencv is the most commonly used package for studying Computer vision in both Python and C++.
OpenCV assignments help
Assignments and projects are a part of a student's grades. An assignment well done could mean the difference between scoring an A and a C. For this reason, students ought to be serious with assignments. However, some are challenging, and a student may waste a lot of time doing the research and still get nothing. That is why you should seek online assistance. Who can do my OpenCV assignment or who can do my OpenCV project are some of the keywords the students enter into the search bar of their browsers. Fortunately, for students, we are one of the online assistance companies willing to help.
Our experts who offer OpenCV assignment help are experienced in computer vision, and we are always ready to help with such assignments. We offer OpenCV python assignment help and OpenCV C++ assignment help which are the two commonly used languages in universities.
Why should you ask for our help?
Help is a term that most use when they are in dire need. It is for this reason that makes asking for help look weak. This is not the case. Asking for help is accepting that we cannot do it. A pessimist would interpret it as a weakness, but a realist and an optimist interpret it as a sign of courage. Nobody is perfect; it is the blatant truth that we must accept.
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Guarantee of High ScoresWhat is the point in a student paying for online assistance and still getting a low grade? We guarantee you of getting a good grade on your assignment by assigning the task of preparing a solution to the most adept expert. This is what differentiates us from other OpenCV assignment help companies. Immediately, when you submit your assignment, one of the highly skilled experts in computer vision will start working on it. It does not matter how hard the assignment is. Our experts are solving assignments on OpenCV for a long time and they leave no stone unturned while crafting solutions.
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What kind of OpenCV homework help do we offer to our clients?
We have stated earlier that OpenCV is now a broad subject that incorporates a lot of things. We can classify the help that we offer in 4 ways. They are:
Recognition:this involves identifying someone or something from an image. Here specified objects can be classified from a 2D image or 3D scenes. Usually, this happens after making a model that can evaluate this image. An example is an algorithm that can identify a cat from an image.
Motion analysis:there are several tasks in motion analysis. They include determining the movement of a 3D camera from the object, tracking the movements of objects from the cameras, and determining how the specific object is moving relative to the image plane. It is essential to know that the movement of the object is corresponding to how the object is moving and how the camera is moving.
Scene reconstruction:involves designing a 3D model from different 3D or 2D scenes. There are algorithms for this purpose.
Image restoration:aims at removing noise from an image. In its simplest form, it involves applying filters, and a more sophisticated form has a model of how local image structure tends to distinguish them from noise easily. The sophisticated method ensures a better method of noise removal.
Applications of computer vision.
A computer is faster and accurate as compared to human beings. A computer vision task cannot take days, it is only a matter of minutes using a trained model. For this reason, computer vision has many applications in the real world. Some are so common. Here are some of the advanced forms of computer vision
- Facial recognition. Images of people can easily be matched with their real identity.
- Optical character recognition (OCR) involves identifying characters in an image.
- Fingerprint recognition
- Visual detection
- People counting.
- Driving autonomous vehicles. They make use of cameras to get an image of the surrounding. The cameras then feed the image to computer software, which analyses the surroundings and will help the autonomous car drive safely and avoid heating objects.
- Medical image analysis. Here it can be used to identify cancer tissues in the body and body scanning.
- Controlling processes, an example is industrial robots.
- Missile guidance, which is common in the army.
- Tracking and counting organisms in Biology.