Image processing in the current era has gained popularity for creating better quality images that can be used in different machinery. Students in their final year can pick up image processing projects as it will help them build a soaring career. The process involves image quality rectification. It is a vast field still to be explored to some extent. By understanding the projects one can use your senses to access different gadgets.
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Image processing is only workable after a suitable programming language has been added. After a series of coding along with other machine learning techniques, the device comes in an operable state. You may use the following programming languages for building your image processing project.
The most common one is JAVA that comes with a library of image recognition and machine learning functions that provides an edge for those who want to understand the project from scratch. The best advantage of using Java is that it is the easiest programming language to learn.
C language has features of a couple of other programming languages, therefore, it can be used in different hardware and software. It has a library built-in, with countless features. It is mainly used to build AI programs which require easy coding. This programming language's fast speed has made it quite popular among engineers.
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This programming language is quite easy to use as the algorithms can be tested efficiently. It has a vast library with expansive functions and is platform-independent as it can perform in any type of computer system.
The modern tech is very much a fan of Python as it is used in most of the software and has high compatibility to perform on different computer systems. In addition to having a hoard of features in its expanded library, it can create complex algorithms. Python isn't a huge task it can also be handy for a novice.
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Image processing is the alteration or repair of digital images or videos to improve them. These are then integrated into structures manipulated for various purposes by humans. Computer science engineers or electrical engineers make extensive use of this tool.
Image processing is used to further modify devices that become handy for humans to use for various purposes. The best example of image processing is a surveillance device that collects data through images or videos and presents it to its user. The idea is to display pictures or video through a device.
1. Surveillance Robot
This image processing project deals with the development of surveillance robots which can be used anywhere. The robot can be controlled remotely and live videos are shown over the internet. Raspberry pi is utilized as a microcontroller in this project.
2. Surveillance Camera using IoT
IoT is used nowadays in all walks of life. This image processing project is based on an IoT surveillance system evolving. In this project, the Raspberry Pi board is used again for displaying images on screens.
3. Sixth sense Robot
A robot-based project that uses an image processing algorithm for its working. The Arduino programming language in this project is used to learn the robot's locomotion and the working of a DC motor.
4. Computer Vision Text Scanner
This image processing project is based on face recognition which helps to automatically read number plates and self-driving cars. This project will help you build a text scanner to transmit text on your screens with the assistance of an optical character recognition algorithm.
5. Computer Vision-Based Mouse
Computer vision is now developing a computer mouse that can detect touching fingers. The project is built using an object tracking algorithm. This project will provide users to do tasks by just pointing on the monitor screens, it has gained capability just like your smartphones.
6. Computer Vision-Based Smart Selfie
Building a smart selfie is the best example for image processing systems which enhances the quality of the image and also clicks automatically when the user smiles. The idea of building such a project is to make an interesting twist in clicking selfies which is quite in vogue these days.
Hope you got an idea that how to develop an image processing project, you can take up our online course which helps you to develop an image processing project in a step by step manner. If you want to know more information about the projects, let us know in the comments.
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