Explore 50+ IEEE 2026 final year project topics implemented in Python. Each project includes complete source code, IEEE base paper reference, dataset, university-format report, PPT, demo video and viva support for BE, BTech, MTech, CSE, ECE and MCA students in Bangalore.
Curated IEEE 2026 project titles using Python. Click WhatsApp to enquire about any topic.
| # | Project Title (IEEE 2026) | Python Libraries / Tools | Domain |
|---|---|---|---|
| 1 | Real-Time Multi-Class Object Detection and Counting Using YOLOv9 and ByteTrack | Python, YOLOv9, ByteTrack, OpenCV | Object Detection |
| 2 | Brain Tumour Segmentation from MRI Using Swin-UNet Transformer | Python, PyTorch, Swin Transformer, NiBabel | Medical Imaging |
| 3 | Face Anti-Spoofing Using Depth-Aware Binary Neural Networks | Python, PyTorch, OpenCV, ONNX | Biometric Security |
| 4 | Remote Sensing Change Detection Using Siamese Vision Transformer (SiamViT) | Python, PyTorch, Hugging Face, GDAL | Satellite / Remote Sensing |
| 5 | Diabetic Retinopathy Grading Using EfficientNetV2 and Attention Mechanism | Python, TensorFlow/Keras, Pillow, Scikit-Learn | Medical Imaging |
| 6 | Low-Light Image Enhancement Using Zero-Shot Diffusion Prior (LLDiffusion) | Python, PyTorch, Diffusers (HuggingFace), OpenCV | Image Enhancement |
| 7 | Contactless Fingerprint Recognition Using CNN-Based Ridge Enhancement | Python, TensorFlow, OpenCV, Scikit-Image | Biometric |
| 8 | Crop Disease Detection from UAV Imagery Using Lightweight MobileNetV3 | Python, TensorFlow Lite, OpenCV, Albumentations | Agriculture / Remote Sensing |
| 9 | Human Pose Estimation and Fall Detection for Elderly Monitoring Using MediaPipe BlazePose | Python, MediaPipe, OpenCV, NumPy | Surveillance / Healthcare |
| 10 | Text Recognition in Scene Images Using ABINet++ with Adaptive Language Model | Python, PyTorch, OpenCV, EasyOCR | OCR / Scene Text |
| 11 | Polyp Segmentation in Colonoscopy Images Using PVT-V2 Encoder and BiFPN Decoder | Python, PyTorch, Albumentations, OpenCV | Medical Imaging |
| 12 | License Plate Recognition Under Adverse Weather Using CLAHE and CRNN | Python, OpenCV, TensorFlow, Tesseract | Surveillance / ITS |
| 13 | Deepfake Detection in Video Using Spatial-Temporal Graph Convolutional Network | Python, PyTorch, Dlib, OpenCV, FaceForensics++ | Security / Forensics |
| 14 | Image Steganography Using Invertible Neural Networks (INN) with Frequency Hiding | Python, PyTorch, NumPy, Pillow | Security / Steganography |
| 15 | Satellite Land Use / Land Cover Classification Using SegFormer on Sentinel-2 Data | Python, Hugging Face Transformers, GDAL, Rasterio | Satellite / Remote Sensing |
| 16 | Skin Lesion Classification Using DermViT with Multi-Scale Feature Fusion | Python, PyTorch, Timm, Albumentations | Medical Imaging / Dermatology |
| 17 | GAN-Based Facial Age Progression and De-Aging Using StyleGAN3 | Python, PyTorch, StyleGAN3, ONNX Runtime | Generative AI / Face |
| 18 | Sign Language Recognition Using Graph Attention Network on Skeleton Keypoints | Python, MediaPipe, PyTorch, OpenCV | Gesture / HCI |
| 19 | Super-Resolution of Histopathology Images Using Real-ESRGAN for Cancer Diagnosis | Python, Real-ESRGAN, PyTorch, Pillow | Medical Imaging |
| 20 | Autonomous Crack Detection in Infrastructure Using Transformer-Based Segmentation | Python, PyTorch, Segment Anything (SAM), OpenCV | Civil / Structural |
| 21 | Emotion-Aware Driver Monitoring System Using OpenFace and Eye Gaze Estimation | Python, OpenFace, Dlib, OpenCV, TensorFlow | Automotive / Surveillance |
| 22 | Multispectral Pedestrian Detection Using Dual-Attention Fusion Network | Python, PyTorch, YOLOv8, OpenCV | Surveillance / Autonomous |
| 23 | Document Layout Analysis for Digitisation Using DiT (Document Image Transformer) | Python, Hugging Face, Detectron2, OpenCV | OCR / Document Processing |
| 24 | Image Forgery Detection Using Dense-Field Noise Analysis and CNN Classifier | Python, TensorFlow, Scikit-Image, NumPy | Security / Forensics |
| 25 | Optical Flow-Based Action Recognition in Surveillance Videos Using SlowFast Network | Python, PyTorch, SlowFast, OpenCV, CUDA | Surveillance / Action Recognition |
* All projects include IEEE 2026 base paper, complete Python source code, dataset, report, PPT and viva support. Contact via WhatsApp to confirm availability and customisation options.
| # | Project Title | Tools |
|---|---|---|
| 1 | Real-Time Lane Detection and Departure Warning Using Hough Transform and Kalman Filter | Python, OpenCV, NumPy |
| 2 | Panoramic Image Stitching Using SIFT + RANSAC Homography | Python, OpenCV, Scikit-Image |
| 3 | Background Subtraction for Crowd Density Estimation Using Mixture of Gaussians (MOG2) | Python, OpenCV, NumPy, Matplotlib |
| 4 | Document Scanner Using Perspective Transform and Adaptive Thresholding | Python, OpenCV, Pillow |
| 5 | Optical Character Recognition for Handwritten Kannada Script Using Tesseract and OpenCV Preprocessing | Python, OpenCV, Tesseract, Pytesseract |
Image Processing Project Using Python
Our image processing projects using Python are ideal for final year engineering students. These projects combine classical computer vision techniques with modern deep learning approaches using libraries like OpenCV, NumPy, and PyTorch/TensorFlow. Each project comes with full source code, documentation, and deployment guidance suitable for BE/BTech/MTech submissions.
Medical Image Processing Projects Using Python
Specialized medical image processing projects using Python focus on MRI, CT scans, X-rays, ultrasound, and histopathology images. Popular topics include brain tumor segmentation with U-Net/Swin-UNet, diabetic retinopathy detection, polyp segmentation, and skin lesion classification. These projects use libraries like PyTorch, MONAI, NiBabel, and OpenCV for preprocessing and analysis, with real-world datasets for accurate diagnosis support.
Image Processing Projects Using Python With Source Code
All our image processing projects using Python come with complete, well-commented source code. You get Jupyter notebooks, Python scripts for training/inference, dataset loaders, evaluation metrics, and deployment examples. Source code is customized as per university guidelines and includes IEEE base paper implementation for guaranteed acceptance.
Image Processing Projects Using OpenCV Python GitHub
We provide ready-to-run OpenCV Python projects similar to popular GitHub repositories but enhanced with IEEE 2026 standards. Topics include real-time object tracking, lane detection, document scanning, panoramic stitching, and face recognition. Our implementations include advanced features like multi-threading, GPU acceleration, and integration with deep learning models.
Digital Image Processing Python Projects
Classic digital image processing Python projects cover fundamentals like image filtering, edge detection, histogram equalization, morphological operations, frequency domain processing (Fourier Transform), and color space conversions. These are perfect for beginners and can be extended with deep learning for advanced applications in computer vision.