Nearshore Ship Detection on High-Resolution Remote Sensing Image via Scene-Mask R-CNN

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 […]

Real-Time Detection of Apple Leaf Diseases Using Deep Learning Approach Based on Improved Convolutional Neural Networks

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 […]

Efficient Fire Detection for Uncertain Surveillance Environment

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 […]

Training Cascade Compact CNN With Region-IoU for Accurate Pedestrian Detection

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 […]

Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks

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 […]

Real-Time Taxi-Passenger Prediction with L-CNN

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 […]