![]() ![]() A bias for emergency vehicles could also be added, allowing them to go through signals faster. The system should give frequent green signals when the traffic density is low and more controlled flow when there is heavy congestion. The live image feed can help in deciding the density of traffic and if horn sounds are also taken into consideration, a robust system could be developed. What could be implemented is a smart lights system that analyses the traffic situation and accordingly adjusts the timing of the lights? We all know that while travelling by roads, the traffic lights stoppage can annoy when the traffic is minimal or not at all, even so, we have to wait for the green signal to avoid any police disruption. You can implement this either on an existing game like Hill climb racing or create a new one for this!Ĭheckout: Python Projects on GitHub 3. The live camera feed needs to be broken down into frames and then matching them with the instruction database for moving the player. ![]() Instructions include moving left, right, jumping, or grasping something. Live Air games are one of the best image processing projects. The player’s instructions can be captured via the webcam in the designated regions of the screens. The Pygame module is a 2-D game development engine in Python that offers various tools for I/O and other functionalities. ![]() This project will make use of OpenCV and Python Pygame module. However, a student database for verification, storage for images, and other requirements will be required, but you can test out this project on a small scale. This makes the system fully digital and contactless. The faculty member would simply take a group photograph of the class and after uploading that image to the cloud system, the attendance for the students will be marked. As the educational institutes are adopting new technologies every single day, the attendance system in most institutions is still fingerprint or facial biometrics, but during this coronavirus situation, a contactless attendance system can be implemented using image processing. ![]() One of the best ideas to start experimenting you hands-on image processing projects is working on Image-based attendance system. These projects are not ranked in any order of difficulty and require you to understand Numpy which is the numerical computing library, OpenCV that allows you to process these images, CNN ( Convolution Neural network) for extracting the features, and other project-specific libraries. Here we present you a list of 7 Image processing projects that can be built using Python and with which you can kick-start your journey to explore and add a new skill to your CV. PG Diploma in Machine Learning & AI from IIIT-B and upGrad. In this article, you will find top image processing project ideas for beginners to get hands-on experience on Python. In this article, we will be exploring some interesting image processing projects which beginners can work on to put their knowledge to test. The more you experiment with different image processing projects, the more knowledge you gain. These features help in deciding the action to be taken if this system is integrated into an application. The image processing is most preferably done using deep learning as the image data is available in huge numbers and as the image is a matrix of numbers, it is easy to pass it to several layers of neurons and extract the important features from the image. This field finds its application in almost every domain such as education, scientific and medical studies, traffic control, and government services. These pixel values contain the corresponding RGB (Red, Green, Blue) values that represent the proportion of colour contribution to the image, and a mixture of these build up an image. The pixel is the smallest unit of an image. A digital image can be represented as a collection of pixels. So, if you are a Python beginner, the best thing you can do is work on some real-time image processing projects. Image processing is gaining much popularity in the tech industry because of its integration into various autonomous services.
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