iSenseBot is IoT based solution to capture realtime data in warehouse

Hydromet Application provides secure real-time data access of automated weather stations. This includes the backend infrastructure to receive, ingest, decode, process, display, and store measurement data from nearly any remote automated weather station. Hydromet Appliccation provides a secure web-page for users to view their data graphically, on a map or in tabular and report forms. Conversely, if you prefer to do your own processing, Hydromet Application delivers raw data (as it is transmitted by the station) using a dedicated, secure download page, updated immediately as your data arrives.

A Spatial Data Infrastructure (SDI) provides a framework of standards, policies, data, procedures and technology to support the effective coordination and dissemination of spatial information. The GISFY Group has developed powerful methods for the planning, design and implementation of SDI in different cultural and disciplinary contexts. Geographic Information Systems (GIS) have become an indispensable tool for managing and using spatial information at the local, regional, national and global levels. Many organizations need the same information, but in most countries there is no structure for the effective coordination and sharing of these data. Extensive national SDI programs are now underway in North America, Europe, Australia and elsewhere, and a Global SDI Association (GSDI) has been active for several years.

One area of focus is in creating VR applications that provide realistic visualizations of traffic data, where its utility for traffic management is noted. The integration of real-time data and VR allows traffic management to more easily look at varied layers of transport, while also gaining ability to forecast patterns based on historical or expected patterns. Applying it within web technologies also allows easier sharing of data, where managers and those using transport can readily access needed data. Applications such as APCRDA have incorporated 3D building model data, residents information, real-time and historical traffic data into their platform, allowing for a powerful understanding of city data where everything from current traffic patterns to up-to-date residential information, where the data are applied within a human-computer interaction framework.

If you own a smartphone, such as an iPhone or Android, you probably have an app that uses augmented reality (AR). This technology superimposes digital information on whatever you're looking at through your phone's camera. These types of AR apps usually combine an assortment of miniaturized technology devices—optical sensors, accelerometers, GPS, gyroscopes, solid state compasses—along with context-sensitive information, that is delivered as a web service. The service content may be displayed as location-based labels (or billboards) that hover over or in front of objects you see through the camera display. The labels usually present additional information, including photos, but often provide reviews and contact information for things like restaurants, Wi-Fi hot spots, or houses for sale. You might use AR apps to discover and learn more about objects around you.

The smart city concept is developing very quickly around the world, because it provides a comprehensive digital environment that improves the efficiency and security of urban systems and reinforces the involvement of citizens in urban development. This concept is based on the use of geospatial data concerning the urban built environment, the natural environment and urban services. The successful implementation of a smart city project requires the development of a digital system that can manage and visualise the geospatial data in a user-friendly environment. The geographic information system (GIS) offers advanced and user-friendly capabilities for smart city projects. The smart city concept aims at developing a comprehensive system that uses geospatial data to enhance the understanding of complex urban systems and to improve the efficiency and security of these systems. This geospatial data concerns the following.

A surveying drone offers an enormous potential for business to extract information and monitor the asset. With a drone, it is possible to carry out topographic surveys of the same quality as the highly accurate measurements collected by traditional topographic surveys, but in a fraction of the time. This substantially reduces the cost of a survey and the workload of specialists in the field. Following are benefits of drone based survey. Cheap and Faster Survey: Capturing geospatial data with a drone is up to five times faster than with the manual land-based methods and requires less human resource. Accuracy: Drone survey produces thousands of measurements, which can be represented in different formats (orthomosaic, point cloud, DTM, DSM, contour lines, etc). Drone pictures can provide 3D model of the location.

Building Information Modeling (BIM) is a process that begins with the creation of an intelligent 3D model and enables document management, coordination and simulation during the entire lifecycle of a project (plan, design, build, operation and maintenance. BIM is used to design and document building and infrastructure designs. Every detail of a building is modeled in BIM. The model can be used for analysis to explore design options and to create visualizations that help stakeholders understand what the building will look like before it’s built. The model is then used to generate the design documentation for construction.

An inventory management system is a tool that allows you to track goods across your business’s supply chain. It optimizes the entire spectrum spanning from order placement with your vendor to order delivery to your customer, mapping the complete journey of a product. Features of our Inventory Order Management System

• Dashboard Chart & Graph
• Branch
• Warehouse
• Product
• Vendor

Supply-chain-management software (SCMS) is the software tools or modules used in executing supply chain transactions, managing supplier relationships and controlling associated business processes.

• Dashboard Chart & Graph
• Barcode
• Excel Like Grid Filter
• 6 Modules With 25+ CRUD Forms
• Customer Type

Machine learning has been a core component of spatial analysis in GIS. These tools and algorithms have been applied to geoprocessing tools to solve problems in three broad categories. Classication: Classification allows you can use support vector machine algorithms to create land cover classification layers. Clustering: Clustering lets you process large quantities of input point data, identify the meaningful clusters within them, and separate them from the sparse noise. Prediction: Prediction algorithms such as geographically weighted regression allows you to use geography to calibrate the factors that help you predict. These methods work well in several areas and their results are interpretable, but they need experts to identify or feed in those factors (or features) that affect the outcome that we’re trying to predict. One area of AI where deep learning has done exceedingly well is computer vision, or the ability for computers to see. This is particularly useful for GIS, as satellite, aerial and drone imagery is being produced at a rate that makes it impossible to analyse and derive insight from through traditional means.

We are experting in developing following GIS Applications in both the opensource and ESRI platform. Web GIS: We can build Web GIS Solution with following features. Supports Google map, Bing map, Yahoo maps and Open Street Map as base layer. All common GIS functionality like PAN, Zoom In, Zoom Out, Info Tool is available in the application. Mobile GIS: We can build MOBILE based GIS survey solutions with following features. Supports Google map, Bing map, Yahoo maps and Open Street Map as base layer. All common GIS functionality like PAN, Zoom In, Zoom Out, Info Tool is available in the application. Supports data download in the form of Image, MS Excel, CSV, PDF and MS Word. Dekstop GIS: We can build Desktop GIS Solution with following features. Supports Google map, Bing map, Yahoo maps and Open Street Map as base layer. All common GIS functionality like PAN, Zoom In, Zoom Out, Info Tool is available in the application. Data can be queried by attribute and geometry.