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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.NoProject CodeOpenCV ProjectsActions
1TYTCV1001Capturing the Number Plates of the Vehicles Using Opencv Harcascade files.DETAILS
2TYTCV1002Click the Image Smartly using OpencvDETAILS
3TYTCV1003Color Identification in an Image using OpenCV Haarcascade filesDETAILS
4TYTCV1004Alert drowsy driver using openCVDETAILS
5TYTCV1005Detecting custom objects in an image using YOLO V3DETAILS
6TYTCV1006Recognizing the face of a person using YOLOV3 and Deep LearningDETAILS
7TYTCV1007Detect the Face and Eyes of a Person from an Image and in Real timeDETAILS
8TYTCV1008Deep learning based dog breed identification using Convolutional Neural Networks with flask appDETAILS
9TYTCV1009Text extraction from image using Optical character recognitionDETAILS
10TYTCV1010Classifying the Brain Tumors using CNN with Front End FrameworkDETAILS
11TYTCV1011Classifying the type of Flowers using Convolutional Neural NetworksDETAILS
12TYTCV1012Detection of Retinal pigmentosa in paediatric age patients using CNN with Tkinter FrameworkDETAILS
13TYTCV1013Transfer Learning Based Kidney Stone Prediction in Patients, using RESNET50DETAILS
14TYTCV1014Pot Hole Detection on the roads using Transfer Learning (Resnet 50)DETAILS
15TYTCV1015integrated web app for disease detection (3 diseases)
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16TYTCV1016Hand Gesture Recognition Model using Deep LearningDETAILS
17TYTCV1017Identifying the lane the vehicle is travelling.DETAILS
18TYTCV1018Image classification: Develop a system that can classify images into predefined categories.DETAILS
19TYTCV1019Object detection: Build a model that can detect and locate objects in images or videos.DETAILS
21TYTCV1021Image segmentation: Develop a method for dividing an image into multiple segments, each corresponding to a different object or background.DETAILS
22TYTCV1022Image super-resolution: Create a system that can increase the resolution of an image or video.DETAILS
23TYTCV1023Object tracking: Build a model that can follow the movement of an object in real-time video.DETAILS
25TYTCV1025Style transfer: Create a model that can transfer the style of one image onto another.DETAILS
26TYTCV1026GANs for image generation: Use generative adversarial networks (GANs) to generate new, synthetic images.DETAILS
27TYTCV1027Image captioning: Build a system that can generate a natural language description of an image.DETAILS
28TYTCV1028Handwriting recognition: Develop a model that can recognize and transcribe handwritten text.DETAILS
29TYTCV10293D reconstruction: Create a system that can reconstruct a 3D model of an object or scene from 2D images.DETAILS
30TYTCV1030Pose estimation: Build a model that can estimate the pose of a person or object in an image or video.DETAILS
31TYTCV1031Image denoising: Develop a method for removing noise from images.DETAILS
32TYTCV1032Image restoration: Create a system that can restore damaged or degraded images.DETAILS
33TYTCV1033Visual question answering: Build a model that can answer questions about an image or video.DETAILS
34TYTCV1034Image generation from sketches: Create a system that can generate images from hand-drawn sketches.DETAILS
35TYTCV1035Image generation from text: Develop a model that can generate images based on a textual description.DETAILS
36TYTCV1036Image colorization: Build a model that can add color to grayscale images.DETAILS
37TYTCV1037Facial expression recognition: Create a system that can identify and classify facial expressions in images or videos.DETAILS
38TYTCV1038Object recognition in video: Develop a model that can recognize and classify objects in video streams.DETAILS
39TYTCV1039Action recognition in video: Build a model that can recognize and classify actions being performed in a video.DETAILS
40TYTCV1040Scene understanding: Create a system that can understand and classify the scene or environment depicted in an image or video.DETAILS
41TYTCV1041Video stabilization: Develop a method for stabilizing shaky video footage.DETAILS
42TYTCV1042Video summarization: Build a model that can summarize long videos into shorter, highlights versions.DETAILS
43TYTCV1043Video frame interpolation: Create a system that can insert new frames into a video to increase its frame rate.DETAILS
44TYTCV1044Video super-resolution: Develop a model that can increase the resolution of a video.DETAILS
45TYTCV1045Image compression: Build a system that can compress images while maintaining quality.DETAILS
46TYTCV1046Image watermarking: Create a method for adding a visible or invisible watermark to an image.DETAILS
47TYTCV1047Image forgery detection: Develop a system that can detect if an image has been modified or manipulated.DETAILS
48TYTCV1048Image saliency detection: Build a model that can identify the most salient or important regions in an image.DETAILS
49TYTCV1049Object recognition in 3D point clouds: Create a system that can recognize and classify objects in 3D point clouds generated from lidar or depth sensors.DETAILS
50TYTCV1050Depth estimation from monocular images: Develop a model that can estimate the depth of objects in an image taken with a single camera.DETAILS
51TYTCV1051Object segmentation in 3D point cloudsDETAILS
52TYTCV1052Augmented reality: Build a system that can overlay digital content on top of the real world in real-time.DETAILS
53TYTCV1053Virtual reality: Create a model that can generate immersive, interactive virtual environments.DETAILS
54TYTCV1054Image recognition for self-driving cars: Develop a system that can recognize and classify objects in the road, such as vehicles, pedestrians, and traffic signs.DETAILS
55TYTCV1055Lane detection for self-driving cars: Build a model that can detect and track the lanes on a road for autonomous vehicle navigation.DETAILS
56TYTCV1056Traffic sign recognition: Create a system that can recognize and classify traffic signs in images or video.DETAILS
57TYTCV1057Surveillance and security: Develop a model that can detect and classify suspicious activity in real-time video streams.DETAILS
58TYTCV1058Medical image analysis: Build a system that can analyze medical images, such as X-rays or CT scans, to detect abnormalities or diagnose diseases.DETAILS
59TYTCV1059Cell detection and tracking: Create a model that can detect and track individual cells in microscopy images.DETAILS
60TYTCV1060Plant disease detection: Develop a system that can identify and classify diseases in plants based on images of their leaves.DETAILS
61TYTCV1061Land use and land cover classification: Build a model that can classify land use and land cover in satellite images.DETAILS
62TYTCV1062Remote sensing: Create a system that can extract information about the Earth's surface from satellite or aerial imagery.DETAILS
63TYTCV1063Emotion recognition from facial expressions: Develop a model that can identify and classify emotions based on facial expressions in images or video.DETAILS
64TYTCV1064Sentiment analysis: Build a system that can analyze text to determine the sentiment or emotion it conveys.DETAILS
65TYTCV1065Text classification: Create a model that can classify text documents into predefined categories.DETAILS
66TYTCV1066Text generation: Develop a system that can generate natural language text based on a given prompt or input.DETAILS
67TYTCV1067Machine translation: Build a model that can translate text from one language to another.DETAILS
68TYTCV1068Image recognition for agricultural applications: Develop a system that can recognize and classify different crops, pests, or diseases in agricultural images.DETAILS
69TYTCV1069Image recognition for retail applications: Build a model that can recognize and classify products in retail images for online shopping or inventory management.DETAILS
70TYTCV1070Image recognition for industrial applications: Create a system that can recognize and classify different components or defects in industrial images.DETAILS
71TYTCV1071Image recognition for fashion applications: Develop a model that can recognize and classify different clothing and fashion accessories in images.DETAILS
72TYTCV1072Document analysis: Build a system that can extract information from documents, such as forms or contracts.DETAILS
73TYTCV1073Scene text recognition: Create a model that can recognize and extract text from natural images of text in the real world.DETAILS
74TYTCV1074Image recognition for security applications: Develop a system that can recognize and classify threats or suspicious activity in security images or video.DETAILS
75TYTCV1075Image recognition for automated quality control: Build a model that can recognize and classify defects in products or materials for quality control purposes.DETAILS
76TYTCV1076Image recognition for wildlife conservation: Create a system that can recognize and classify different species of animals in wildlife images.DETAILS
77TYTCV1077Image recognition for environmental monitoring: Develop a model that can recognize and classify different environmental features or phenomena in images or video, such as natural disasters or pollution.DETAILS
78TYTCV1078Image recognition for transportation applications: Build a model that can recognize and classify different types of vehicles, such as cars, buses, and airplanes, in images or video.DETAILS
79TYTCV1079Image recognition for weather forecasting: Create a system that can recognize and classify different weather patterns in images or video for weather forecasting purposes.DETAILS
80TYTCV1080Image recognition for geospatial applications: Develop a model that can recognize and classify different features of the Earth's surface, such as land use, vegetation, or water bodies, in satellite or aerial imagery.DETAILS
81TYTCV1081Image recognition for social media applications: Build a model that can recognize and classify different types of content, such as images, videos, or text, on social media platforms.DETAILS
82TYTCV1082Image recognition for cultural heritage applications: Create a system that can recognize and classify different cultural heritage artifacts or sites in images or video.DETAILS
83TYTCV1083Image recognition for sports applications: Develop a model that can recognize and classify different actions or events in sports images or video.DETAILS
84TYTCV1084Image recognition for entertainment applications: Build a model that can recognize and classify different types of media, such as movies, TV shows, or music, in images or video.DETAILS
85TYTCV1085Image recognition for education applications: Create a system that can recognize and classify different types of educational materials, such as textbooks, lectures, or assignments, in images or video.DETAILS
86TYTCV1086Image recognition for marketing applications: Develop a model that can recognize and classify different types of marketing materials, such as advertisements, banners, or product images, in images or video.DETAILS
87TYTCV1087Image recognition for customer service applications: Build a model that can recognize and classify different types of customer inquiries or requests in images or video.DETAILS
88TYTCV1088Image recognition for healthcare applications: Create a system that can recognize and classify different types of medical images, such as X-rays, CT scans, or MRIs, for diagnosis or treatment purposes.DETAILS
89TYTCV1089Image recognition for e-commerce applications: Develop a model that can recognize and classify different types of products in e-commerce images for online shopping or inventory management.DETAILS
90TYTCV1090Image recognition for financial applications: Build a model that can recognize and classify different types of financial documents, such as invoices, receipts, or bank statements, in images or video.DETAILS
91TYTCV1091Image recognition for insurance applications: Create a system that can recognize and classify different types of insurance documents, such as policies, claims, or assessments, in images or video.DETAILS
92TYTCV1092Image recognition for human resources applications: Develop a model that can recognize and classify different types of HR documents, such as resumes, job applications, or employee records, in images or video.DETAILS
93TYTCV1093Image recognition for legal applications: Build a model that can recognize and classify different types of legal documents, such as contracts, deeds, or court orders, in images or video.DETAILS
94TYTCV1094Image recognition for real estate applications: Create a system that can recognize and classify different types of real estate documents, such as property listings, deeds, or mortgage agreements, in images or video.DETAILS
95TYTCV1095Image recognition for travel and tourism applications: Develop a model that can recognize and classify different types of travel or tourism images, such as hotels, attractions, or landmarks, for travel planning or marketing purposes.DETAILS
96TYTCV1096Image recognition for transportation logistics applications: Build a model that can recognize and classify different types of transportation or logistics documents, such as shipping labels, manifests, or delivery receipts, in images or video.DETAILS
97TYTCV1097Image recognition for environmental monitoring applications: Create a system that can recognize and classify different types of environmental features or phenomena, such as air or water quality, in images or video.
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