2026 Computer Vision Projects | Computer Vision Projects for Final Year | Computer Vision Projects Ideas | IEEE Computer Vision Projects

Computer Vision Projects Ideas

Featured Computer Vision Tools & Frameworks

Industry-standard CV libraries, deep learning frameworks and deployment platforms used in our IEEE Computer Vision projects for BE and MTech scholars in Bangalore.

OpenCV YOLOv8 / v10 PyTorch TensorFlow Python 3.x Keras / CNN ResNet / VGG / ViT MediaPipe U-Net / SAM MATLAB Image Toolbox CUDA / GPU Roboflow / LabelImg

IEEE Computer Vision Projects

Topics & Tools

IEEE 2026 Computer Vision project topics for BE, BTech and MTech scholars — covering object detection, image segmentation, face recognition, medical imaging, autonomous systems and generative AI. Each topic includes source code, dataset, pre-trained weights, report, PPT and viva support.

#	IEEE 2026 Computer Vision Project Topic	Core Tools & Technology
01	Real-Time Multi-Object Detection and Tracking for Traffic Surveillance using YOLOv10 and DeepSORT	Python, YOLOv10, OpenCV, DeepSORT
02	Semantic Segmentation of Satellite Images for Urban Land Use Classification using SegFormer	PyTorch, SegFormer, GDAL, Python
03	AI-Based Diabetic Retinopathy Grading from Fundus Images using EfficientNet and Grad-CAM	TensorFlow, EfficientNet, OpenCV
04	Face Anti-Spoofing System using Depth Map Estimation and Binary Cross-Entropy CNN	Python, PyTorch, OpenCV, Dlib
05	Sign Language Recognition for Real-Time Deaf Communication using MediaPipe and LSTM	Python, MediaPipe, TensorFlow, LSTM
06	Autonomous Lane Detection and Departure Warning for ADAS using OpenCV and Deep Learning	Python, OpenCV, PyTorch, Raspberry Pi
07	Brain Tumor Segmentation from MRI using 3D U-Net with Attention Gates	PyTorch, MONAI, U-Net, Python
08	Crowd Density Estimation and Anomaly Detection in Surveillance Video using CSRNet	TensorFlow, CSRNet, OpenCV, Python
09	Plant Disease Detection from Leaf Images using Transfer Learning with ResNet-50	Keras, ResNet-50, OpenCV, Flask
10	Deepfake Video Detection using Vision Transformer (ViT) and Frequency Domain Analysis	PyTorch, ViT, Python, CUDA
11	Human Pose Estimation for Physiotherapy Rehabilitation Monitoring using OpenPose and MediaPipe	Python, MediaPipe, OpenPose, OpenCV
12	Optical Character Recognition for Handwritten Vernacular Scripts using CNN-BiLSTM	TensorFlow, CNN-BiLSTM, OpenCV
13	6DoF Object Pose Estimation for Robotic Grasping using FoundationPose and RGBD Camera	PyTorch, ROS2, Depth Camera, CUDA
14	Instance Segmentation for Industrial Defect Inspection on PCBs using Mask R-CNN	Python, Mask R-CNN, Roboflow, PyTorch
15	Wildfire Smoke Detection in Remote Aerial Images using Lightweight YOLOv8n with Edge Deployment	YOLOv8, Python, TensorRT, Jetson Nano
16	Stereo Vision-Based Depth Estimation for Obstacle Avoidance in Autonomous Mobile Robots	OpenCV, Python, ROS2, Raspberry Pi
17	Retinal Vessel Segmentation for Glaucoma Screening using Attention U-Net and DRIVE Dataset	PyTorch, U-Net, MATLAB, Python
18	Video Action Recognition for Smart Gym Exercise Counting using SlowFast and Skeleton Graphs	PyTorch, SlowFast, MediaPipe, Python
19	Image Super-Resolution for Medical CT Scans using Generative Adversarial Network (ESRGAN)	TensorFlow, ESRGAN, Python, CUDA
20	Document Layout Analysis and Information Extraction using LayoutLMv3 and PaddleOCR	Python, LayoutLMv3, PaddleOCR, HuggingFace
21	Night-Time Pedestrian Detection for Autonomous Vehicles using Thermal Infrared and YOLOv8	Python, YOLOv8, IR Camera, OpenCV
22	Automated Crack Detection in Concrete Structures using Drone Images and Semantic Segmentation	PyTorch, DeepLabv3+, Roboflow, Python

Titles are updated to align with IEEE Xplore 2026 publication trends. Contact us for the full base-paper list, dataset links and pre-trained model weights for any topic above.

2026 IEEE Papers on Computer Vision

Project Lab Gallery — Bangalore

A look inside our Computer Vision and AI project lab — OpenCV demos, YOLO detection rigs, GPU training workstations, MediaPipe pose setups, MATLAB image processing and Raspberry Pi edge deployment kits for BE and MTech scholars.