Aim: To automate the detection of presence of ships and to classify the types of ships available in the given Image. Existing System: Computer-aided ship detection methods greatly free up human resources and typically include two steps: extracting image features, and then using classifiers for classification and localization. These methods can produce stable results under […]
Aim: To detect the apple leaf diseases using convolutional neural network for high accuracy detection Existing System: In recent years, with the popularization of digital cameras and other electronic devices, automatic plant disease diagnosis has been widely applied as a satisfactory alternative. Nevertheless, in most cases, traditional machine learning approaches such as support vector machine […]
Aim: To efficient CNN based system for fire detection in videos captured in uncertain surveillance scenarios Existing System: To detect fire, researchers have presented both traditional and learned representation based fire detection methods. In literature, the traditional methods use either color or motion characteristics for fire detection. For instance, [9-16] used color features for fire […]
Aim: This paper aim to detect the roads in aerial images is taken by satellite images. Existing System: A hybrid convolution network (HCN) to segment roads from high-resolution visible remote sensing images, with the hope to achieve high segmentation for multi scale roads with complex background. The FCN has a few false segmentations on complex […]
Aim: To improve the Pedestrian detection rate and the localization accuracy using Cascade Compact CNN Existing System: R-CNN analysis shows that localization error and background error are still the two main errors for Faster R-CNN based detectors. In the following sections, the proposed approach will deal with these two types of errors by introducing a […]
Aim: This paper aim to detect the diabetic disease identification using deep learning methods. Existing System: Besides a binocular model for the ?ve class DR detection task is also trained and evaluated to further prove the effectiveness of the binocular design. The result shows that, on a 10% validation set, the binocular model achieves a […]
Aim: The aim of this project is to implement intelligent urban surveillance system for automated Number plate Recognition Existing System: The system which uses computer vision to address these problem were using a single central computing server to process the collected images using cameras scattered across the smart city. A single unified deep neural network […]
Aim: This paper aim to detect and classify the lung cancer using CNN algorithm. Existing System: The hand-crafted features are often used in tradition methods for nodule auto classi?cation. These features may include those primary level features like the texture, shape and size of lung nodules. And it may also include the high level characteristics […]
Aim: To predict the high demand need of pickup location for taxi services based on their previous history. Existing System: TAXI drivers need to decide where to wait for passengers in order to pick up someone as soon as possible. Passengers also prefer to quickly find a taxi whenever they are ready for pickup. The […]
Aim: To predict the high demand need of pickup location for taxi services based on their previous history. Existing System: TAXI drivers need to decide where to wait for passengers in order to pick up someone as soon as possible. Passengers also prefer to quickly find a taxi whenever they are ready for pickup. The […]