OpenCV Project List with Abstract and Source Code - 21/22
OpenCV is a very large open source library mainly used for Image Processing, Machine Learning, and Computer vision. It has the capability of processing images and video clips to identify faces, handwriting etc. It contains more than 2500 algorithms and makes use of NumPy functions that can be implemented as real-time application. OpenCV is used widely across various organizations and supports multiple programming languages such as python, java, c++ etc. We have selected quite interesting projects in OpenCV and tried to explain each project in detail with step by step execution where every individual irrespective of their educational background can learn and execute this projects by themselves.
Project List with Step by Step execution
| S.No | Project Code | OpenCV Projects | Actions |
|---|---|---|---|
| 1 | TYTCV1001 | Capturing the Number Plates of the Vehicles Using Opencv Harcascade files. | DETAILS |
| 2 | TYTCV1002 | Click the Image Smartly using Opencv | DETAILS |
| 3 | TYTCV1003 | Color Identification in an Image using OpenCV Haarcascade files | DETAILS |
| 4 | TYTCV1004 | Alert drowsy driver using openCV | DETAILS |
| 5 | TYTCV1005 | Detecting custom objects in an image using YOLO V3 | DETAILS |
| 6 | TYTCV1006 | Recognizing the face of a person using YOLOV3 and Deep Learning | DETAILS |
| 7 | TYTCV1007 | Detect the Face and Eyes of a Person from an Image and in Real time | DETAILS |
| 8 | TYTCV1008 | Deep learning based dog breed identification using Convolutional Neural Networks with flask app | DETAILS |
| 9 | TYTCV1009 | Text extraction from image using Optical character recognition | DETAILS |
| 10 | TYTCV1010 | Classifying the Brain Tumors using CNN with Front End Framework | DETAILS |
| 11 | TYTCV1011 | Classifying the type of Flowers using Convolutional Neural Networks | DETAILS |
| 12 | TYTCV1012 | Detection of Retinal pigmentosa in paediatric age patients using CNN with Tkinter Framework | DETAILS |
| 13 | TYTCV1013 | Transfer Learning Based Kidney Stone Prediction in Patients, using RESNET50 | DETAILS |
| 14 | TYTCV1014 | Pot Hole Detection on the roads using Transfer Learning (Resnet 50) | DETAILS |
| 15 | TYTCV1015 | integrated web app for disease detection (3 diseases) | DETAILS |
| 16 | TYTCV1016 | Hand Gesture Recognition Model using Deep Learning | DETAILS |
| 17 | TYTCV1017 | Identifying the lane the vehicle is travelling. | DETAILS |
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Hey! Click on the above degree which you're from. You can find the specified branches. Please select your branch and a new page will pop-up with the latest projects list. There you go.. You can select any title and mail / call us.
Time is a dependent factor. If we're going with a basic one it will take 2-3 days, for moderate level it will be 7-10 days, for Master's or Research level projects time taken is 30-45 days.
Once you come up with your idea or project title, we will provide you abstract or base paper for the detailed understanding. If you're ready to go with the title, we will be providing you end to end support which includes project execution, project training, a reference document, support until your final review.
Of course, any new feature or new ideas will be implemented as per your requirement.
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Searching for interesting projects? Would you like to Implement your ideas into project? Then you’re at the right place. We provide all the mini and major project support related to OpenCV Projects. TechieYan is highly recommended to get your project work done. OpenCV projects in Hyderabad. We have an experienced technical team who will support you throughout the process. We will be training you on the project development from scratch.
