The primary reason is that GPS generally does not work for indoor applications. However, indoor positioning is generally based on WLAN technology. Typically, it is seen that outdoor positioning is generally GPS/GNSS based. The availability of location-sensitive smartphones, with wireless broadband high-speed connections, has made low-cost applications available to a huge audience and there exists a lot of innovation in designing new type of technology and applications using these devices. One of the major uses of Navigation based application is Location-Based Services (LBS) which constitutes a significant portion of the navigation application usage. Development of CNN based model for intensity estimation will be very useful during the initial stage of cyclone formation when determination of accurate center becomes difficult. Traditional methods for Intensity estimation require accurate center determination for intensity estimation. These datasets can be used for training and testing of the Model. Datasets of Cyclones captured by INSAT-3D over the Indian Oceans are available since 2014. INSAT3D/3DR observations are available at every 15-minute interval and these observations are very useful in understanding the instantaneous structural changes during evolution, intensification, and landfall of Tropical Cyclones. HERITAGE Identification of monuments using Deep Learning Techniquesĭevelopment of a deep Convolutional Neural Network (CNN) for Tropical Cyclone intensity estimation using half-hourly INSAT-3D IR Images and development of a web application for visualization of the imagery. It is felt that catalogue of field data and AI based solution to discover the objects or features will be a milestone during India’s Self Reliance Journey in Geospatial Sector. This Field Datasets will be of high value in terms of the research and development in Space Applications. Recently with the success of Convolution Neural Networks in Feature Extraction from Satellite Images, there is a need to standardize and generate training datasets.
Video metadata generation & classificationĭiscover the objects and features in the image using Explainable AI Techniques.įield Data is an incredible source of information to validate earth observation studies. The solution must not directly use both side videos to access quality. Video for transmitting end and few remote receiving ends will be
Solution needs to be developed to assess the quality of captured videos at The assessment of video quality across remote nodes distributed Lack of reference video at remote or remote video as central transmitting end. In situation like distributed video contentĭelivery, video quality checks during runtime becomes problematic for having Graphics card, local network issues, not properly optimized VSAT setupĪffecting BER, Receive power etc. User end configuration has concern of video quality.ĭifferent VSAT terminals may have different computing resources i.e. Interactive video communication over limited bandwidth channel and variable All support and assistance will be provided for the same.ĭepartment of Space, Indian Space Research Organisation (ISRO). We are currently at the phase where we have the codes developed and the designs for the app, but need help with hosting it on the cloud and building the prototype. We plan to do this by providing an application which can be used through mobile phones, computers or tablets. The PHRs would be interoperable between the patient and other Healthcare intermediaries. White Hour Solutions (WHS) LLP., is a young start-up looking to provide a solution for patient to record, store and share their Personal Health Records (PHRs). What we need – We need young professionals to help solve the hosting issue and build the prototype.
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Where we are currently – The team has built the code and UI/UX designs for the application, but we need help to host the program on a network and create a prototype. What we plan to achieve – Create a blockchain application to store and share patient records with Doctors and Health care intermediaries. Problem Statement short description in a short paragraph Who we are - A young start-up in the Health Tech space. Hosting a blockchain code on to a cloud network in order to create a prototype app in the Healthcare sector.
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